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About RapidScale: At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid cloud environments, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google Cloud, our solutions are built around business outcomes, cyber resilience, and operational excellence-backed by the strength of the Cox family of companies. Role Overview: The Solution Director - Strategic Enterprise Pursuits is the senior authority responsible for owning complex enterprise solutions as commercially viable, operationally executable, and outcome-driven business constructs. This role partners closely with strategic Account Executives / Dealmakers to shape, qualify, and win RapidScale's largest and most complex opportunities-typically involving multi-year managed services, hybrid cloud transformations, carve-outs, divestitures, and Walk-In Takeovers (WITO). The Solution Director is accountable not just for what is sold, but for how it will be delivered, governed, and sustained over time. Key Responsibilities 1. End-to-End Solution Ownership • Own the solution as a business outcome, from pursuit strategy through transition and early stabilization which includes formal handoff to Delivery Executive and securing operational / delivery approvals, • Ensure solutions are technically sound, commercially viable, and operationally executable, • Act as the final solution authority within strategic pursuits 2. Commercial & Financial Accountability • Develop and defend full commercial solution models, including:, • Pricing structures, Margin targets, Cost models, • Risk reserves and assumptions, • Partner with Finance to validate profitability, scalability, and long-term economics, • Shape deal constructs, including phasing, scope boundaries, and contractual guardrails 3. Large-Scale & Complex Deal Leadership • Lead solution strategy for $20M-$100M+ TCV enterprise pursuits, • Complex Commercial constructs could include solution design for:, • Carve-outs and divestitures, • Walk-In Takeovers (WITO), • Large managed services transitions, • Datacenter consolidation, • Define Day-0 / Day-1 assumptions, TSA dependencies, and transition feasibility 4. Operating Model & Transition Design • Design the target operating model across people, process, tooling, and governance, • Partner with Delivery, Operations, and PMO to validate stand-up and stabilization plans, • Ensure delivery readiness prior to commercial commitment 5. Risk Ownership & Governance • Identify, assess, and own technical, delivery, operational, and financial risk, • Lead executive trade-off discussions and mitigation planning, • Provide clear go / no-go recommendations based on risk and feasibility 6. Executive Advisory & Narrative Leadership • Serve as a trusted advisor to CIOs, CTOs, CFOs, COOs, and executive sponsors, • Lead executive workshops, solution reviews, and steering discussions, • Craft and deliver a compelling executive solution narrative that ties technology to business outcomes including high quality, customer facing deliverables (architectural diagrams, documents, spreadsheets and presentations). 7. Cross-Functional Leadership • Collaborate deeply with Sales, Finance, Legal, Delivery, Product, and Partner teams, • Align all stakeholders around a unified solution strategy, deal thesis, and operating model, • Act as Technical Solution leader to direct, collaborate with, and manage functional technical solution architects as dictated by solution scope - ex. VMware Architect, AWS Architect, Application Services Team - which includes directing the documentation and artifacts required to move from technical discovery and solutioning (ex. BOM, reference architecture) to the creation of customer and executive level artifacts in business outcome language (TCO, Business Case, Solution Narrative), • Set standards for solution quality, consistency, and governance across strategic pursuits Required Qualifications • 12-20+ years of experience in enterprise technology services, MSPs, GSIs, or cloud consulting organizations, • Proven leadership in large, complex enterprise deals ($20M-$100M+ TCV), • Demonstrated experience with:, • Carve-outs and divestitures, • Walk-In Takeovers (WITO), • Multi-year managed services transitions, • Datacenter consolidation, • Deep understanding of hybrid cloud, private cloud, hyperscaler ecosystems, and managed services operating models, • Strong commercial acumen, including pricing, margin management, and financial modeling, • Executive presence with the ability to influence C-suite and board-level stakeholders, • High tolerance for ambiguity and comfort leading through complex, multi-variable deal cycles Preferred Qualifications • Experience working with private equity-backed environments or complex M&A scenarios, • Background in global system integrators or large MSPs, • Familiarity with regulated industries (financial services, healthcare, SaaS, retail), • Cloud certifications (AWS, Azure, GCP, VMware) a plus but not required USD 148,500.00 - 247,500.00 per year Compensation: Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Benefits: The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. EOE, including disability/vets

Job Title - AWS Customer Success Officer Location: Quincy MA (Hybrid) Job Description We are seeking an experienced AWS professional to join our Customer Experience team, working closely and collaboratively with application development teams and platform engineering teams to design, deploy, and operate scalable AWS applications using IaC, CI/CD, and container technologies. The role requires excellent communication skills and a strong focus on automation, reliability, and deliver consistent, high‑quality customer experience. What you will be responsible for As an AWS Customer Success Officer, you will: • Collaborate closely with application development teams to understand application needs, deployment patterns, and operational requirements, • Support customers and development teams in deploying and operating applications on AWS using Infrastructure as Code (IaC), CI/CD pipelines, and container technologies., • Provide guidance on AWS best practices for scalability, reliability, security, and operational excellence., • Proactively identify risks, issues, and improvement opportunities impacting customer experience and application operations, • Coordinate with platform, security, and operations teams to resolve issues and drive continuous improvement, • Communicate clearly and effectively with technical and non‑technical stakeholders., • Provide regular status updates, success reviews, and recommendations to customers and internal partners., • Advocate for customer needs while balancing platform standards and governance. What we value • 6+ years overall experience in IT infrastructure and cloud engineering, • 4+ years of hands-on experience with AWS services at scale, • 2+ years of experience in cloud architecture and infrastructure design, • 2+ years of experience with Terraform for Infrastructure as Code, • 2+ years of experience with Harness or similar CI/CD platforms (Jenkins, GitLab CI), • Strong expertise in AWS core services:, • Compute: EC2, ECS, EKS, Lambda, • Storage: S3, EFS, EBS, • Networking: VPC, Subnets, Route Tables, NAT Gateways, Transit Gateway, Load Balancers, • Security: IAM, Security Groups, KMS, Secrets Manager, • Deep understanding of container technologies (Docker) and orchestration platforms (Kubernetes, ECS), • Strong understanding of cloud infrastructure, application deployment, and DevOps practices., • Excellent communication, relationship‑building, and stakeholder management skills, • Experience building and optimizing CI/CD pipelines with automated testing and deployment strategies, • Experience with monitoring and observability solutions (CloudWatch, Prometheus, Grafana), • Strategic thinker with excellent communication skills, able to mentor and guide team members and collaborate with application teams, • Experience with AWS cost optimization strategies and FinOps practices Nice-to-Have Skills • AWS Certified Solutions Architect (Professional or Associate) or AWS DevOps Engineer certification, • Experience with additional AWS services (RDS, Aurora, DynamoDB, ElastiCache, Redshift), • Knowledge of Site Reliability Engineering (SRE) practices and Chaos Engineering, • Prior experience in financial services or highly regulated industries, • Experience with multi-cloud or hybrid cloud architectures, • Proficiency with Terraform, Harness, • Solid experience in Agile methodologies (Scrum and Kanban)

Senior Platform Engineer (Data Platform) – Boston, MA Overview My client, an investment management firm based in Boston, is seeking a hands-on Senior Platform Engineer to play a key role in designing, automating, and operating an enterprise data platform. In this position, you will contribute to the development and support of core data services that enable efficient onboarding of new data sources and transform them into actionable insights. You will collaborate with cross-functional teams to understand data requirements and enhance how data is ingested, processed, and delivered across the organization. This role involves building scalable data pipelines, developing platform tooling, and implementing best practices in CI/CD, infrastructure-as-code, reliability, security, and observability. You will also partner with business analysts to support advanced analytics and reporting capabilities. Key Responsibilities • Design and implement end-to-end CI/CD pipelines for data applications, services, and workflows using tools such as GitLab (including build, test, deploy, rollback, and environment management)., • Automate infrastructure provisioning and management using Terraform, emphasizing reusable, modular IaC patterns and GitOps workflows., • Architect and operate a cloud-native data platform on AWS, supporting scalable data ingestion, transformation, storage, and access., • Establish platform reliability standards including monitoring, logging, tracing, and alerting, with a focus on resilience and multi-region architecture., • Build and maintain deployment pipelines and release processes for batch and streaming data pipelines, APIs, and microservices., • Manage containerized environments using Docker and Kubernetes (EKS), optimizing for performance, scalability, and cost efficiency., • Implement security best practices including IAM, least-privilege access, and secrets management (e.g., KMS)., • Develop self-service tools and platform capabilities to connect data producers and consumers (e.g., templates, service catalogs, SLAs)., • Lead efforts to migrate and modernize legacy/on-premise data systems into a unified AWS-based data platform., • Drive continuous improvement by evaluating new technologies, optimizing system performance, reducing operational overhead, and promoting engineering best practices. Qualifications • 5+ years of experience in data engineering, platform engineering, DevOps, or similar roles supporting data-intensive systems., • Strong programming skills in Python, with experience in testing frameworks and software engineering best practices., • Advanced SQL skills and experience with data processing tools such as Spark and/or Pandas., • Proven experience building scalable data pipelines (batch and/or streaming)., • Hands-on experience with AWS services such as S3, EC2, Lambda, Glue/EMR, Redshift/RDS, IAM, and VPC (3+ years preferred)., • Experience designing and maintaining CI/CD pipelines using tools like GitLab, GitHub, or Jenkins., • Proficiency in Infrastructure as Code, preferably Terraform., • Experience with containerization and orchestration technologies (Docker, Kubernetes)., • Strong understanding of data storage solutions (data lakes, warehouses, lakehouses) and data modeling techniques., • Experience with query optimization and handling temporal or point-in-time data., • Familiarity with monitoring and observability tools (e.g., CloudWatch, Prometheus, Grafana, ELK stack)., • Solid understanding of security best practices, especially in regulated environments., • Strong system design skills with the ability to build scalable and reliable solutions., • Excellent communication skills and experience working with cross-functional teams., • Familiarity with Agile methodologies and DevSecOps practices.

Placement Type: N/A Salary: $110,000-125,000 Salary Aquent is partnering with an innovative organization at the forefront of the B2B talent acquisition space. This client is dedicated to transforming the hiring landscape through a cutting-edge SaaS web platform. Their mission is clear: to revolutionize candidate-to-job matching and dramatically reduce time-to-hire, ensuring their customers secure the very best talent. By joining this team, you will play a pivotal role in enhancing and innovating a market-leading service, directly contributing to its expansion into new markets and the continuous improvement of operational efficiencies. Are you a seasoned software engineer ready to make a significant impact on a platform that is redefining how businesses find talent? We are seeking a visionary and collaborative individual to join a dynamic team dedicated to pushing the boundaries of web service innovation. In this role, you won't just write code; you'll be a driving force behind critical advancements, shaping the future of our platform and directly influencing the success of countless businesses and careers. What You'll Do As a Senior Software Engineer, you will be instrumental in developing robust, scalable solutions and fostering a culture of technical excellence. Your contributions will directly enhance our platform's capabilities and drive its strategic evolution. You will: • Lead the development of substantial features and improvements, alongside critical fixes and library upgrades., • Ensure the reliability and quality of our codebase by writing comprehensive unit tests., • Proactively identify and implement architectural improvements to enhance maintainability and testability., • Champion coding best practices, setting a high standard for quality and efficiency within the team., • Mentor and guide junior engineers, sharing your expertise in processes, codebase navigation, and best practices., • Conduct thorough and constructive code reviews, ensuring high-quality, performant, and secure solutions., • Actively engage in the agile development lifecycle, from design reviews and planning to retrospectives, committing to deliverables and swiftly resolving impediments., • Architect and document technical designs, ensuring clarity and alignment across the engineering team., • Contribute to cross-team discussions, influencing architectural decisions and process enhancements., • Implement seamless integrations with third-party services and various application components., • Collaborate closely with peers to prioritize work effectively and align efforts with overarching strategic goals., • Demonstrate exceptional adaptability, managing interruptions gracefully while supporting team objectives., • Stay at the forefront of technological advancements, continuously integrating new knowledge into our practices., • Participate in the interview process, helping to build and grow our talented engineering team. What You'll Bring To thrive in this role, you will possess a strong foundation in software engineering principles and a passion for building high-quality web applications. We are looking for someone with: • 7+ years of professional experience in the development of web applications., • A deep understanding of computer science fundamentals, including data structures and algorithms., • Expert-level proficiency in Python., • Strong proficiency with JavaScript, TypeScript, and React., • Good working knowledge of database systems, specifically MongoDB or SQL., • Proficiency with Git for version control., • Proficiency with Docker for containerization., • Excellent problem-solving, troubleshooting, and debugging capabilities., • Exceptional design and organizational skills., • Strong communication and collaboration skills, with proven experience working effectively across cross-functional teams., • The ability to work independently and effectively in a remote environment, requiring minimal direction., • A commitment to continual improvement and self-learning. Even Better If You Have These qualifications would be a significant advantage: • Experience with Kubernetes., • Experience with AWS., • A Bachelor's Degree in Computer Science or a related technical field. About Aquent Talent Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #LI-RW2

Role Overview: The Cloud Architect will design, implement, and optimize the company's multi-cloud infrastructure, spanning Azure, AWS, and GCP clouds. The role will help lead the development of firm's cloud strategy, ensuring scalability, security, resiliency, and cost-effectiveness across the organization's cloud systems. The role will work closely with cloud engineers within the Cloud Engineering & Operations and Network Operations departments, as well as supporting stakeholders across various departments to lead cloud adoption, enhance cloud maturity, improve performance, implement best practices, and drive cloud-based innovation. The Cloud Architect will ensure that Cornerstone's cloud capabilities align with business needs and will scale to meet future growth. At Cornerstone Research, you will be part of a thriving, 1,000-strong team that spans nine offices, comprises more than 55 nationalities, and leads the industry in its commitment to develop team members across all levels. Inc. Magazine has recognized Cornerstone Research three times as a Best Workplace for its outstanding employee engagement, collaborative culture, and professional growth opportunities. You'll Love It Here If You: * Embrace learning and continuous improvement * Set and strive for a high bar of excellence * Believe that teamwork leads to success: ask us what it means to be #onefirmfirm! * Take pride in always doing your best work, even if it's harder or takes longer * Are passionate about what you do How You'll Help Our Team Succeed: • Provides strategic and technical oversight in developing, managing, and optimizing multi-cloud environments (Azure, AWS, GCP)., • Designs and implements automation tools for efficient cloud service deployment to meet business demands., • Leads cloud architecture and governance initiatives, ensuring security, scalability, and compliance across all platforms., • Manages and optimizes cloud costs, ensuring efficient use of resources and reducing operational expenses., • Implements and maintains secure cloud connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • Oversees cloud security frameworks, auditing accounts, permissions, and access rights to mitigate risks and ensure compliance., • Collaborates with IT teams to integrate cloud solutions with on-premises infrastructure that drives innovation., • Ensures resiliency by managing critical disaster recovery and response plans for cloud outages, security events, and incidents., • Provides leadership and mentorship to cloud engineers, ensuring adherence to cloud best practices., • Maintains comprehensive documentation, disaster recovery plans, and performs ongoing gap analysis to optimize cloud performance., • Creates and maintains cloud architecture diagrams. What You'll Need to Be Successful: • 10+ years of experience in cloud architecture, infrastructure design with proven expertise in multi-cloud environments (Azure, AWS, GCP)., • Experience in designing and leading cloud solutions and architecture at scale, including migrations, integrations, and strategic cloud management., • Extensive experience with multi-cloud management and architecture strategies, including advanced cloud services (IaaS, PaaS, SaaS), hybrid cloud solutions, and cloud-native application development., • Expertise in designing and implementing cloud automation and orchestration tools (e.g., Terraform, AWS CloudFormation, Azure Resource Manager)., • Strong experience in cloud cost optimization and management, including forecasting, budgeting, and cost-saving initiatives across multiple cloud platforms., • Deep understanding of cloud security best practices and SOC 2 compliance standards and experience with implementing security frameworks across cloud tenants., • Expertise in disaster recovery planning and designing high-availability, fault-tolerant architectures in cloud environments., • Advanced knowledge of cloud networking, including secure connectivity solutions (AWS Direct Connect, Azure Express Route, GCP Interconnect)., • UNIX/Linux experience required, with advanced server administration and automation skills., • Leadership experience in mentoring teams and managing cross-functional collaboration across IT, engineering, and security teams., • Bachelor's Degree in Information Technology, Computer Science, or related field; or equivalent combination of education, skills and experience., • Cloud Professional Certification required (e.g., AWS Certified Solutions Architect - Professional, Google Cloud Professional Cloud Architect, Azure Solutions Architect Expert). Other IT certifications (e.g., CISSP, CompTIA Cloud+) are a plus. Cornerstone Research is offering a competitive market base salary for this position. The base salary range represents the low and high end of the salary range for this position in all eligible locations. This range may differ based on your geographic location and cost of living considerations. At Cornerstone Research, we believe compensation is more than just a base salary. We offer a competitive total compensation package that includes an annual performance bonus and comprehensive benefits such as flexible options for healthcare, paid time off, and retirement savings. Relocation assistance is not offered for this position. Chicago: $133,900 - $163,500 Boston: $140,300 - $171,300 Washington, DC: $137,500 - $167,900 Los Angeles: $140,700 - $171,900 New York: $143,300 - $174,900 San Francisco: $153,600 - $187,700 We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. Who We Are: Cornerstone Research provides economic and financial analysis and expert testimony in all phases of commercial litigation and regulatory proceedings. We work with a broad network of testifying experts, including leaders from academia and industry, who are recognized for their depth of knowledge, accomplishments, and research. Our staff consultants contribute expertise in economics, finance, accounting, and marketing, as well as business acumen, familiarity with the litigation process, and a commitment to produce outstanding results. We're looking for passionate individuals who share our firm's core values and can bring varied perspectives and experiences to our team. The firm's uniquely collegial, supportive atmosphere makes Cornerstone Research a great place to work. We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events. To many, our culture and our people are the most exciting, enriching aspects of a Cornerstone Research career. Equal Employment Opportunity: Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.

Posting Type Hybrid Job Overview We are seeking a high-octane, Individual Contributor (IC) to serve as the lead Product Manager of our cloud infrastructure, observability and developer experience strategy. In this role, you won't just manage a roadmap; you will own the end-to-end Customer outcomes and technical vision for the ecosystem that powers our training, fine-tuning, and inference workloads. This is a role for someone who thrives on deep technical complexity, high-stakes stakeholder influence, and direct hands-on delivery. Vision: To build a resilient, invisible, and limitlessly scalable AI infrastructure that transforms Relativity One into the world's most intelligent legal platform, making generative AI and agentic capabilities instantly accessible, cost-effective, and secure for every matter and customer class. Mission Statement: To empower Relativity's Internal Engineering, Partner Developers and AI Research teams with a unified, cloud-native ecosystem. We will relentlessly optimize for Tokens-per-Second-per-Dollar (TPS/$), champion developer productivity through standardized APIs, ensure zero-compromise tenant isolation, and zero-touch scaling of the infrastructure for Customer workloads. The Mission You will be the primary driver of our platform's evolution, bridging the gap between cutting-edge AI requirements and robust infrastructure engineering. Your goal is to build a world-class developer experience that makes "scaling to production" a frictionless reality. Job Description and Requirements Core Responsibilities * Strategic Technical Roadmap:Define and execute a long-term vision for cloud infrastructure that supports multi-domain AI workloads. You are responsible for the "What" and the "Why." * Platform Excellence & Design:Partner directly with Engineering to architect elastic and efficient systems. You will translate complex infrastructure needs into actionable product requirements for rapid experimentation and production scale. * Developer Experience (DX) Ownership:Build delightful user experience that make unified developer experience a reality by understanding deeply pain points of Internal and Partner Developers using Infrastructure as a Service. You will maintain the end-to-end DX, including hands-on contributions such asdocumentation-as-code, markdown-based guides, and reviewing Pull Requests. * Observability Data-Driven Optimization:Establish and own the North Star metrics for adoption, performance, and cost-efficiency. You will utilize deep competitive and market insights to pivot tactics and ensure we are building for the future. * Stakeholder Influence:Act as the lead evangelist, building consensus across Security, Finance, and Engineering. You will navigate a complex organizational landscape to align diverse roadmaps into a cohesive platform strategy. * Adoption & Enablement:Craft and execute the rollout strategies that ensure internal teams aren't just using the platform but are thriving on it. Who You Are * A Seasoned IC Driver:You have a proven track record of shipping platform-level products at scale. You prefer the "trenches" of product discovery and technical design over traditional people management. * Technically Fluent:You are comfortable discussing GPU orchestration, inference latency, and CI/CD pipelines with senior engineers. You can hold your own in a PR review. * Outcome-Obsessed:You lead with OKRs and KPIs. You don't just ship features; you move the needle on engineering velocity and infrastructure reliability. * Master Communicator:You can distill a complex cloud transformation strategy into a 5-minute executive brief or a 50-page technical spec with equal ease Technical Skills & Tools * Infrastructure:Deep understanding of cloud ecosystems (AWS/GCP/Azure) and AI/ML workflows. Deep understanding of AI tech stack across Compute, Storage and NW. * Tools:Proficient in Markdown, Git/GitHub (PR workflows), and data analytics platforms. JIRA, Confluence, Product board, etc. * Frameworks:Mastery of feature management, A/B testing methodologies, and cloud-native development practices. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $163,000 and $245,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Agile Methodology, Cross-Functional Teamwork, Market Analysis, Market Strategy, Product Lifecycle Management (PLM), Product Management, Product Strategies, Strategic Planning, Team Leadership, User Experience (UX)

Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! This Jobot Job is hosted by: John Armel Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $160,000 per year A bit about us: We are seeking a dynamic and experienced Cloud Solutions Architect to join our hyper-growth financial services client. This role is crucial to our business as you will be responsible for designing and implementing cloud-based solutions to meet the needs of our clients. The successful candidate will have a deep understanding of cloud computing technologies, business drivers, and emerging computing trends. You will work closely with our clients to ensure the architecture is aligned with the client's business requirements. This role requires a high level of technical expertise and the ability to work collaboratively with various teams. Why join us? Exciting opportunity to lead cloud solutions and microservices of hyper growth Irving, TX-based company! Great bonus potential! Job Details Responsibilities: 1. Design and implement complex cloud-based solutions for our clients., 2. Provide expertise and leadership in Solutions Architecture in the infrastructure and applications space., 3. Develop cloud architecture and solutions optimized for cloud platforms to meet business needs and requirements., 4. Manage and facilitate multi-cloud deployments, ensuring efficient and effective use of resources., 5. Develop and coordinate cloud architecture, and oversee the work of other architects., 6. Develop and implement cloud governance policies and procedures to ensure the security and integrity of cloud services., 7. Automate processes to improve efficiency and reduce manual intervention., 8. Utilize SDLC methodologies to deliver robust, quality solutions to clients., 9. Work closely with clients to understand their business requirements and translate them into technical solutions., 10. Stay up-to-date with the latest industry trends and advancements in cloud computing to inform architectural decisions. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field., 2. Minimum of 5 years of experience in cloud architecture and solution design., 3. Proven experience with cloud governance, multi-cloud deployments, automation, scalable cloud solutions, and SDLC., 4. Strong knowledge of Azure and other cloud service providers., 5. Proven ability to design and implement complex cloud solutions., 6. Strong understanding of cloud computing technology and infrastructure as well as experience designing and migrating applications to the cloud., 7. Strong knowledge in software development languages and tools to drive automation and reliability into the infrastructure., 8. Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders., 9. Strong problem-solving skills, with the ability to think strategically and act tactically., 10. Certifications in Azure, AWS, Google Cloud, or other cloud technologies are highly desirable. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. 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This job is with Klaviyo, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About Klaviyo Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence. About the Team The Messaging Infra organization at Klaviyo is focused on high-growth customer engagement through various messaging channels (email, SMS/MMS/RCS, mobile push, WhatsApp, and more). We work with multiple stakeholders to provide best-in-class service and reliability to connect a wide range of businesses, from entrepreneurs to enterprises, with their end users. The messaging platform is a mission-critical system, responsible for delivering billions of messages, and must be architected for massive scale and reliability. As a Senior Lead Software Engineer within the Messaging Infra organization, you will serve as the primary technical architect for our high-volume message delivery systems while driving the overarching technical vision for channel expansion. You will partner with leaders across all channels to ensure a scalable, reliable, and performant platform strategy, acting as a key technical liaison to the broader Mobile Channels and Messaging Infrastructure pillar. Your leadership will ensure that our core systems are not just maintained, but architected to accelerate innovation and business impact while raising the bar on scalability and reliability. What You'll Do As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and scaling of the Messaging Infra platform with a focus on high-volume message delivery. Your role will involve: • Technical Strategy: Define the technical strategy and architectural vision for the Messaging Infra platform, ensuring all system improvements align with long-term business goals for massive scalability, high reliability, and low latency message delivery., • System Architecture and Improvement: Serve as the primary architect to build and improve high-volume message delivery systems across multiple channels, focusing on throughput, performance, and reliability., • Cohesive Technical Vision: Drive technical leadership to guide architectural decisions across multiple teams, striving towards a cohesive technical vision across multiple roadmap items and providing solutions for complex problems around scalability and performance., • Platform Rollouts and Product Execution: Oversee and execute the planning and seamless rollout of major software releases and updates for the platform, managing the entire lifecycle from design to deployment in production environments including significant individual contributions., • Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the messaging platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents., • Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers, to develop new technical leadership for the company., • Cross-functional Collaboration: Partner with product managers, deliverability and compliance specialists, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects., • 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems., • Have proven that you can build and scale complex distributed systems, including solving problems in sustainable ways, balancing pragmatic development with ideal architecture, breaking through technical obstacles with vigor, and leading teams through crises by working side by side with them in the trenches., • BA or BS Degree in Computer Science, related field, or equivalent experience., • Technical Expertise: Deep expertise in relevant programming languages (e.g., Python, Go) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform). You are particularly passionate and an expert in multiple stack areas, with strong and opinionated experience with various technologies, and know how to pick the right tool for any job., • Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs., • Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams., • Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., • Experience with the email and/or SMS ecosystem, including understanding of channel-specific protocols and security specifications (e.g., DKIM, DMARC, SPF), and familiarity with key 3rd-party entities (like mailbox providers, anti-abuse groups, and telecoms) and compliance rules/best practices., • Background in performance optimization and a passion for digging into performance and scalability issues to drive breakthrough solutions., • Python, Django, FastAPI, Celery, • Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack, • MySQL, PostgreSQL, Clickhouse, Cassandra, Redis, • Typescript, React, Backbone.js, HTML, JavaScript, Babel, Jest, Webpack, • Graphite, statsd, Chronosphere Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

< Overview The Network Architect is responsible for designing, standardizing, and advancing Alnylam's global network architecture across corporate offices, R&D laboratories, manufacturing/OT environments, and cloud platforms. This role ensures secure, resilient, and high-performance connectivity that supports scientific research, regulated systems, and global business operations. The position partners closely with Security, Infrastructure, Cloud, Workplace Technology, and managed service providers to deliver a modern, scalable, and compliant global network environment. This is a hybrid position and will primarily be based in Cambridge, MA. Responsibilities • Lead the development and governance of Alnylam's global network architecture, standards, and multi-year modernization roadmap., • Define and maintain the global network reference architecture (LAN, WAN, Wi-Fi, SD-WAN, cloud networking)., • Design secure hybrid and cloud network connectivity supporting AWS, Azure, GCP, M365, SaaS platforms, and high-performance research workloads, • Architect resilient global connectivity, including redundancy, disaster recovery design, and uptime standards for 24O7 operations., • Provide architectural oversight for MSP delivered operations, network providers, and global site buildouts, ensuring adherence to standards., • Lead network architecture for site expansions, lab and manufacturing buildouts, and develop standardized global site design templates. Qualifications Required: • 8+ years of enterprise networking experience, including 3-5+ years in architecture roles., • Experience designing network solutions for multi-site, global organizations., • Strong technical expertise in enterprise routing, switching, SD WAN architecture, cloud networking (Azure), firewall and segmentation design, and enterprise wireless., • CCNP or CCIE certification; AWS Networking Specialty., • CISSP certification., • Experience working with MSPs and global carriers., • Experience supporting regulated or manufacturing environments (biotech, pharma, healthcare, or related industries). #LI-MH1 #LI-Hybrid U.S. Pay Range $174,300.00 - $235,700.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: ___ AboutAlnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

< Overview Alnylam is transforming how data powers our business - and this role sits at the center of that shift for our General & Administrative functions. As Director of Data Engineering & Management, you will own the data platform strategy and delivery for Finance, HR, Legal, and Compliance, leading a team of 10-20 data engineers while staying hands-on with the most complex technical challenges. This is an engineering-led leadership role, not a portfolio management role: we are looking for someone who architects solutions, writes production code, and earns trust through delivered results. Reports to the VP of Enterprise Data, Architecture & AI. Hybrid role based in Cambridge, MA with 2 days/week onsite. Responsibilities • Own end-to-end data platform strategy and delivery for Finance, HR, Legal, and Compliance - building reliable pipelines and infrastructure that enable financial analytics, people analytics, workforce planning, and compliance reporting., • Architect and implement production-grade ELT/ETL pipelines integrating SAP S/4HANA and SAP SuccessFactors with Snowflake, Databricks, and AWS using Python, SQL, Airflow, and dbt., • Establish data governance, quality, and master data management frameworks meeting SOX, GDPR, and data privacy requirements across all G&A domains., • Serve as the primary data platform partner to CFO, CHRO, CLO, and CCO organizations - translating business requirements into scalable technical solutions and owning delivery outcomes., • Build, mentor, and scale a high-performing team of 10-20 data engineers and analytics professionals, fostering a culture of engineering excellence and functional domain fluency. Qualifications Required • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred., • 10+ years building production data platforms and pipelines; 5+ years in leadership roles., • Expert-level Snowflake and strong Databricks experience; hands-on AWS data services (S3, Glue, EMR, Lake Formation)., • Expert SQL and Python with production-quality coding standards., • Deep SAP integration experience: S/4HANA, SuccessFactors, CDS Views, OData APIs, Fivetran or Matillion., • Strong data governance experience including quality frameworks, lineage, cataloging, and MDM., • Familiarity with SOX, GDPR, CCPA, and regulated data environments., • 5+ years leading data engineering teams of 10+; proven ability to balance technical contribution with team leadership. Preferred • Biotech or pharmaceutical industry experience., • People analytics platform experience (Visier, One Model, or equivalent)., • Experience with people analytics use cases: attrition modeling, workforce planning, compensation benchmarking., • Knowledge of data governance tools: Collibra, Alation, or Atlan., • Occasional travel required (10-15%). #LI-Hybrid #LI-LN1 U.S. Pay Range $193,800.00 - $262,200.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: ___ AboutAlnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

< Overview Alnylam isseekinga deeply technical and strategic leader to serve as Senior Director, Research & Early Development (ReDev) Technology. This role owns the domain-specific scientific systems architecture, computational platforms, and AI-enabled digital capabilities supporting Target/BiomarkerDiscovery, RNAi Platform & Delivery, Screening, Lead Optimization, DMPK,Bioanalytics, Investigative Sciences, and Non-Clinical Safety. This is a strategic technology leadership role that also requires meaningful architectural depth. The Senior Director must partner closely with Research & Early Development leaders at all levels while actively guiding domain system architecture, integration patterns, modern data design, AI-enabled workflow modernization, secure scientific computing environments, and multi-omics/imagingdata integration. The role requires familiarity with large-scale human genetics and cohort datasets (e.g., UK Biobank,FinnGen,NASHBio) and the ability to design systems that enable their effectiveutilizationfor target discovery, validation, and translational research. The Senior Director will serve as the IT representative to the Research & Early Development Leadership Team, contributing to strategic discussions and ensuring digital priorities are tightly alignedwith scientific and portfolioobjectives. The role also requires close collaboration with Clinical Development and CMC organizations to ensure discovery and preclinical digital capabilities are aligned with downstream clinical, manufacturing, and regulatory requirements - enabling seamless lifecycle data continuity from target discovery through clinical development and CMC readiness. Shared lab execution platforms (e.g., ELN, LIMS) are owned by the Lab-to-Product Platform & Operations organization. Enterprise data engineering and centralized AI platforms are owned by the Enterprise Data & AI organization. This role partners closely with both to ensureReDevdomain systems are integrated, AI-ready, and aligned with enterprise standards. This hybrid role is based in Cambridge, MA with regular engagement at our Cambridge headquarters. Key Responsibilities Own theReDevDomain Architecture & Application Strategy • Define and govern the technical architecture across discovery and preclinical domain systems, • Lead lifecycle management of applications supporting:Molecular design and modeling; RNAi delivery and screening platforms;Digital pathology and imaging systems;DMPK, bioanalytics, and nonclinical safety;Omics, spatial omics, proteomics, and high-throughput platforms, • Enable effective integration and analysis of large-scale human genetics and cohort datasets (e.g., UK Biobank,FinnGen,NASHBio), • Partner with Enterprise Data & AI to design domain data flows into Alnylam's Snowflake-based enterprise data platform, • Define domain data requirements for genomics, proteomics, spatial omics, and imaging datasets, • Enable structured data products for human genetics and translational research, • Collaborate on metadata alignment, ontology mapping, and cross-cohort harmonization, • Partner with Enterprise Data & AI to design and operationalize AI-enabled workflows across discovery and preclinical domains, • Apply generative AI to support hypothesis generation, target identification, and multi-omics interpretation, • Architect agentic AI systems capable of orchestrating cross-dataset analyses (e.g., cohort genetics + proteomics + imaging), • Ensure AI capabilities are embedded into production scientific workflows, • Design andoperateTrusted Research Environments (TREs) to support secure analysis of sensitive human genetics and cohort data, • Enable controlled-access environments for datasets such as UK Biobank,FinnGen, andNASHBio, • Ensure compliance with privacy, governance, and regulatory standards, • Act as primary IT representative to the Research & Early Development Leadership Team, • Contribute to portfolio and target strategy discussions with a technology and data perspective, • Translate scientific strategy into scalable digital and AI-enabled architecture, • Represent IT in cross-functional and executive leadership forums, • Partner with Clinical and CMC technology leaders to ensure discovery and preclinical systems enable translational continuity, biomarker integration, clinical readiness, and downstream manufacturing alignment, • Contribute to cross-functional lifecycle architecture discussions spanningReDev, Clinical, and CMC Qualifications • 15+ years of progressive IT leadership supporting drug discovery and preclinical development, • Demonstrated architectural depth across complex scientific systems, • Proven ability to partner effectively with senior scientific stakeholders, • Experienceoperatingwithin senior leadership forums (e.g., R&D Leadership Teams) withdemonstratedexecutive presence, • Familiarity with large-scale population and cohort datasets such as:UK Biobank, FinnGen, NASHBio, • Demonstrated understanding of how these datasets areutilizedfor Target discovery and validation, Rare variant association, Translational research, • Experience supporting or integrating:Genomics and variant datasets, Spatial omics platforms, Proteomics datasets, Imaging-genomics analyses, • Deepexpertisein modern data engineering concepts:ELT/ETL patterns, Lake/lakehousearchitectures, API-first integration, Cloud-native data platforms, • Experience integrating domain scientific systems with enterprise data platforms (e.g., Snowflake) in partnership with centralized teams, • Advanced SQL and Pythonproficiencywith production-quality engineering standards, • Demonstrated practical experience applying both generative AI and agentic AI in scientific or R&D environments, • Experience operationalizing AI within production discovery workflows, • Hands-on experience designing and implementing Trusted Research Environments (TREs), • Strong understanding of responsible AI and secure scientific computing PreferredQualifications • Experience with: Digital Pathology & Imaging: HALO, HALO Link, Patholytix, Visiopharm;Non-Clinical Safety & DMPK: SEND environments, Phoenix (WinNonlin);Bioanalytics Platforms: Benchling, Sapio;Omics & Workflow Engines: Paradigm4, DNAnexus, AWS HealthOmics, Nextflow;High-Content Imaging: Signals Image Artist, • Experience in RNAi, oligonucleotide, or gene-modality platforms strongly preferred #LI-Hybrid #LI-LN1 U.S. Pay Range $226,800.00 - $306,800.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: ___ AboutAlnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

< Overview The Senior Network Engineer provides technical support for Alnylam's global network infrastructure across corporate offices, R&D labs, manufacturing/OT environments, and international sites. This role leads major network initiatives, ensures highly available, secure, and scalable network services, and acts as the senior technical escalation point for complex issues. This position partners closely with the Network Architect to execute the global network strategy and oversee the technical quality of MSP delivered operations. This is a hybrid position and will primarily be based in Cambridge, MA. Responsibilities • Engineer, implement, and optimize global LAN, WAN, Wi-Fi, SD WAN, and hybrid cloud connectivity across all locations., • Execute network architecture standards, ensuring secure and resilient connectivity for new site deployments, lab expansions, and integrations., • Support cloud networking, ensuring reliable and optimized connectivity between on-prem and cloud environments., • Implement and maintain firewall policies, segmentation strategies, and Zero Trust/NAC capabilities across corporate, lab, manufacturing, and regulated systems., • Serve as the Tier 3 escalation point for complex network incidents, leading root cause analysis and strengthening monitoring and alerting capabilities., • Ensure high availability and performance through proactive capacity planning and redundant design across global sites., • Maintain accurate network documentation, runbooks, and change management standards to ensure consistent, controlled operations. Qualifications • 7+ years of enterprise network engineering experience supporting global, multi-site environments., • Strong expertise in routing, switching, SD WAN, firewalls, enterprise Wi-Fi, and core protocols (e.g., BGP, OSPF, VPNs, VLANs, QoS)., • Experience supporting regulated or manufacturing environments and working with managed service providers., • Familiarity with Azure networking and hybrid cloud connectivity., • Strong troubleshooting ability and disciplined documentation practices., • CCNP certification (strongly preferred); CCIE a plus., • AWS networking certifications, preferred., • Experience in biotech, pharma, healthcare, or similar regulated industries, preferred. #LI-MH1 #LI-Hybrid U.S. Pay Range $144,500.00 - $195,500.00 The pay range reflects the full-time base salary range we expect to pay for this role at the time of posting. Base pay will be determined based on a number of factors including, but not limited to, relevant experience, skills, and education. This role is eligible for an annual short-term incentive award (e.g., bonus or sales incentive) and an annual long-term incentive award (e.g., equity). Alnylam's robust Total Rewards package is designed to support your overall health and well-being. We offer comprehensive benefits including medical, dental, and vision coverage, life and disability insurance, a lifestyle reimbursement program, flexible spending and health savings accounts and a 401(k)with a generous company match. Eligible employees enjoy paid time off, wellness days, holidays, and two company-wide recharge breaks. We also offer generous family resources and leave. Our commitment to your well-being reflects our belief that caring for our people fuels the impact we create together. Learn more about these and additional benefits offered by Alnylam by visiting the Benefits section of the Careers website: ___ AboutAlnylam We are the leader in RNAi therapeutics- a revolutionaryapproach with the potential to transform the lives of people with rare and common diseases. Built on Nobel Prize-winning science, Alnylam has delivered the breakthroughs that made RNAi therapeutics possibleand are just at the beginning of what's possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce innovation, passion for excellence, purposeful urgency, open culture and commitment to people. We're proud to be a globally recognized top employer, wherean authentic, inclusive culture and breakthrough thinkingfuel one another. At Alnylam, we commit to an inclusive recruitment process and equal employment opportunity. Qualified applicants will receive consideration for employment without regard to their sex, gender or gender identity, sexual orientation, race, color, ethnicity, national origin, ancestry, citizenship, religion, creed, physical or mental disability, pregnancy status or related conditions, genetic information, veteran or military status, marital or familial status, political affiliation, age, or any other factor protected by federal, state, or local law. Alnylam is an E-Verify Employer.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. Beghou Consulting is seeking an Associate Manager, Cloud Engineering to lead the design, governance, and operation of our internal cloud platforms that power customer-facing data and analytics solutions. This is a hybrid role combining hands-on engineering with strategic leadership, responsible for ensuring Beghou’s multi-cloud infrastructure — across AWS and Azure — is secure, scalable, and operationally excellent. The successful candidate will define technical direction, lead a team of cloud engineers, and collaborate with architecture, security, and product delivery teams to maintain the infrastructure that supports our clients’ most critical systems. We'll Trust you to: • Platform Strategy & Architecture, • Develop and maintain the strategic roadmap for Beghou’s internal cloud environments that support client-facing applications, APIs, and analytics workloads., • Architect and evolve secure, scalable, and resilient multi-cloud infrastructure leveraging AWS and Azure native services., • Establish platform governance, operational standards, and automation frameworks for consistent, compliant, and cost-effective cloud operations., • Partner with Information Security, Data Engineering, and IT teams to align infrastructure architecture with compliance (e.g., SOC 2, HIPAA) and data protection policies. - Evaluate and implement new technologies to improve platform performance, reliability, and developer efficiency., • Leadership & Team Management, • Manage and mentor a team of Cloud Engineers and DevOps professionals, ensuring high-quality delivery and adherence to best practices. - Provide technical leadership for cloud operations, automation, and security initiatives., • Balance priorities across enhancement projects, security hardening, and ongoing operational support., • Foster a culture of accountability, collaboration, and continuous improvement within the engineering team., • Operations & Security Oversight, • Oversee cloud operations supporting production and client environments, ensuring uptime, observability, and reliability., • Implement and maintain monitoring, alerting, and incident response frameworks for proactive risk management., • Enforce identity and access governance, encryption, and network security controls across AWS and Azure., • Partner with the Security and Compliance teams to ensure audit readiness and proper control documentation., • Lead cost management, usage reporting, and resource optimization efforts across platforms., • Hands-On Technical Contribution, • Contribute directly to design and deployment of cloud infrastructure, automation pipelines, and IaC frameworks using Azure DevOps and Terraform., • Provide escalation support and lead root cause analyses for high-impact platform incidents., • Participate in infrastructure reviews and ensure implementation consistency across global environments. You'll need to have:, • 8–12 years of experience in cloud or infrastructure engineering, with 3–5 years in leadership, architecture, or platform management roles., • Proven experience managing AWS and Azure environments hosting customer-facing applications or data services., • Deep understanding of networking, identity, security, and automation concepts in multi-cloud environments., • Experience with monitoring, logging, and security tools, including:, • AWS: VPC, EKS/ECS, EC2, S3, IAM, CloudTrail, CloudWatch, GuardDuty, KMS, RDS, Lambda., • Azure: App Services, Virtual Machines, SQL Database, Blob Storage, IAM, AKS, Azure Firewall, Policy, Monitor, Key Vault, Defender., • Proficiency in infrastructure-as-code, DevSecOps, and CI/CD pipelines using Azure DevOps, Terraform, or similar tools., • Strong scripting skills (Python and/or PowerShell)., • Cloud certifications such as AWS Solutions Architect Professional or Azure Solutions Architect Expert preferred., • Demonstrated ability to translate business objectives into secure, scalable technical architectures. What You Bring:, • Experience managing customer-facing SaaS, analytics, or data platforms., • Familiarity with cloud compliance and governance frameworks (SOC 2, ISO 27001, HIPAA)., • Understanding of cloud financial management (FinOps) and cost optimization practices., • Experience leading cross-functional engineering initiatives involving security, DevOps, and application delivery teams. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on advancing our perception stack by refining our data engines, architecting robust 2D/3D vision models, and deploying them to production hardware to ensure our robots handle the chaotic reality of the physical world.Responsibilities: • Architect Multi-Modal Vision Systems: You will design and train models that fuse 2D inputs with 3D geometry to solve complex grasping and scene understanding tasks., • Lead End-to-End Model Deployment: You will own the transition from research to reality. This includes model graph optimization, quantization (TensorRT), and runtime integration to ensure low-latency inference on our edge compute hardware (NVIDIA Orin)., • Drive Technical Excellence: As a senior member of the team, you will conduct rigorous code reviews, mentor junior engineers, and contribute to the strategic perception roadmap., • Own the Data Strategy: You will take ownership of our existing labeled dataset and pipeline. You will identify bottlenecks, improve data quality, implement active learning strategies to systematically resolve edge cases and improve model robustness., • Ensure Production Reliability: You will write high-performance production code (Python/C++) to seamlessly integrate perception outputs into the broader robotic control stack, prioritizing safety and system stability.Skills:, • 5+ Years of Experience in Computer Vision and Machine Learning, with a track record of shipping ML products to the physical world (Robotics, AV, or IoT)., • Expert-level Python and PyTorch skills. Working knowledge of C++ for deployment and system integration., • Experience with 2D Vision (YOLO, MaskRCNN, Transformers) and 3D Vision (PointNet, grasp generation, multi-view geometry, camera calibration)., • You are proficient with inference optimization tools such as TensorRT, ONNX Runtime, or CUDA to maximize hardware utilization., • You have experience curating large-scale datasets, detecting statistical bias, and automating quality assurance within the ML pipeline., • You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders.

Job Description Job Title:Fullstack Developer Job Type: Full-time Location: Remote(Must overlap PST timezone at least 6-8 hours) Job Summary: This is a high-ownership fullstack role. Youll own core product surfaces end-to-end spanning architecture, backend systems, frontend execution, and production reliability. This is not a feature-factory role. Youre expected to make real architectural calls, raise the engineering bar, and move fast through ambiguity. What Youll Own • Design and own end-to-end fullstack systems powering core product workflows., • Architect and build clean, scalable backend services and APIs with strong contracts and clear ownership., • Develop high-quality, performant frontend interfaces that directly ship to users., • Own data modeling and database performance schema design, query optimization, and long-term maintainability., • Partner closely with product and design to translate ambiguous requirements into shipped systems., • Set and uphold engineering quality standards through reviews, testing, and technical leadership., • Debug and resolve production issues with urgency; improve reliability, observability, and failure modes., • Professional experience building and owning production fullstack systems., • Strong TypeScript experience across frontend and backend., • Solid backend expertise with Node.js (NestJS strongly preferred)., • Frontend experience building real products with React., • Strong command of PostgreSQL and relational data modeling., • Experience designing and maintaining RESTful APIs used at scale., • Working knowledge of AWS or comparable cloud platforms., • Experience with microservices and/or serverless architectures., • Familiarity with Redis, queues, background workers, or async job systems., • Experience with CI/CD, infrastructure as code, or DevOps-leaning workflows., • Background building cloud-native, production-grade systems from scratch., • Exposure to AI-adjacent, data-heavy, or ML-powered products., • Prior experience in high-velocity startup or lab-style environments where scope is fluid and impact is high.

Job Description Location Our Sales Development Manager will be an integral part of our sales team. This role is fully remote on the US East Coast. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a hands-on, results-oriented Sales Development Manager (SDM) to lead and scale our global SDR team across North America. Reporting to the VP, Enterprise Platforms, you will be responsible for coaching, managing, and scaling a high-performing team focused on generating qualified pipeline through a heavy outbound motion. This is a pivotal role for an agile, "startup-minded" leader who thrives in a fast-paced, evolving environment. You will be the architect of our outbound engine, responsible for building the foundation of how we message and engage with our target personas. Responsibilities • Coach the team on multi-threading and Account-Based (ABM) techniques to map out complex organizations and engage multiple C-suite and VP-level stakeholders within a single high-value account., • Act as a "startup-minded" leader, be ready to learn quickly, evolve strategies based on market feedback, and embrace constant change., • Lead 1:1s, call coaching sessions, and weekly training to drive messaging consistency and conversions., • Leverage CRM and sales tools (e.g., Salesforce, Outreach, Gong) to monitor KPIs, identify trends, and enforce best practices., • Partner with Sales leadership and Marketing to ensure message-market fit and tight alignment on territory planning and "rules of engagement." Participate in forecasting and QBRs, contributing insights on pipeline performance and SDR-led contribution to revenue goals., • 2+ years of experience in Sales Development or Business Development or sales leadership, specifically within a SaaS or Cloud environment., • Proven success in building an outbound motion from the ground up, rather than just managing an existing one., • Expert-level skills in crafting call scripts, objection handling frameworks, and persona-based messaging., • Experience managing or working with teams across different time zones., • Experience coaching reps on outbound prospecting, discovery, and objection handling., • Strong operational mindset with hands-on experience in Salesforce, Outreach, and other GTM productivity tools., • Exceptional written and verbal communication skills for both training reps and communicating with executive leadership., • Data-driven and process-oriented with the ability to translate insight into action.Comfortable working in a remote, fast-paced, and constantly evolving environment. Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job DescriptionPosition Overview We are seeking a full-stack connected device engineer who is equally comfortable writing bare-metal firmware on ARM Cortex-M microcontrollers and building polished mobile applications on Android and iOS. You will own the complete software stack-from low-level firmware and wireless protocols to intuitive mobile experiences that interact seamlessly with connected hardware. This role is ideal for someone who thrives at the intersection of embedded systems, mobile development, and cloud-connected IoT platforms. Key ResponsibilitiesFirmware & Wireless Systems • Develop production-grade firmware for ARM Cortex-M MCUs, including RTOS integration, peripheral drivers, low-level bring-up, and power optimization., • Design and implement wireless communication stacks: BLE (GATT/GAP), Wi-Fi, and cellular (LTE-M / NB-IoT)., • Build secure OTA update mechanisms with rollback protection and cryptographic validation., • Integrate device-side IoT protocols (MQTT, CoAP) with cloud platforms such as AWS IoT Core., • Collaborate with hardware teams on board bring-up, debugging, and system validation.Mobile Applications (Android & iOS), • Design and develop native Android (Kotlin/Java) and iOS (Swift) applications for connected devices., • Implement device discovery, provisioning, BLE/Wi-Fi pairing, and real-time communication with firmware., • Architect scalable mobile apps using modern patterns:, • Android: MVVM, Coroutines, Jetpack, • iOS: MVVM/Combine/SwiftUI or UIKit, • Ensure robust connectivity handling, background execution, and reconnection strategies across diverse devices., • Deliver OTA firmware updates through mobile apps.Cloud & IoT Integration, • Design end-to-end connectivity between device, mobile apps, and cloud services., • Integrate with AWS IoT services (IoT Core, Device Shadow, MQTT broker, OTA services)., • Build secure device provisioning and authentication workflows., • Collaborate on backend APIs and data pipelines supporting connected products.Security, Compliance & Production, • Implement secure embedded and mobile systems:, • Secure boot, • Encrypted communication (TLS), • Signed firmware and authenticated updates, • Support manufacturing workflows including DFM, factory provisioning, and test tooling., • Assist with wireless certifications (FCC, CE, Bluetooth SIG)., • Maintain high-quality technical documentation across firmware, mobile, and cloud layers.Required Qualifications, • 5+ years of embedded firmware development on ARM Cortex-M (or similar)., • Proven experience shipping BLE-connected IoT products end-to-end., • Strong programming skills in:, • C/C++ (embedded), • Kotlin and/or Java (Android), • Swift (iOS), • Hands-on experience with BLE, Wi-Fi, and at least one cellular technology., • Experience with AWS IoT or similar cloud IoT platforms., • Deep understanding of secure device design (secure boot, OTA, encryption, key provisioning).Preferred Qualifications, • MS or PhD in Computer Engineering, Electrical Engineering, or related field., • Experience with Rust in embedded systems (e.g., Embassy framework)., • Familiarity with AOSP, embedded Linux (Yocto/Buildroot)., • Experience in regulated environments (FDA, ISO 13485, IEC 62304)., • Proven track record of taking IoT products from prototype to volume manufacturing., • Experience building cross-platform mobile architectures or shared SDKs. Job Posted by ApplicantPro

Job DescriptionSURT AIJoin the Future of Fraud Detection We develop advanced systems that provide superior fraud detection capabilities. Join a team committed to advancing the state of the art in fraud prevention technology. Senior Backend Engineer (Rust & Serverless)The MissionWe are looking for a Senior Backend Engineer to own the "brain" of our application. This is a heavy-coding, high-impact role where performance is the baseline. You will be responsible for architecting and building high-performance compute engines, translating complex business logic into lightning-fast, memory-safe Rust services. If you are a builder who believes that "if it's worth doing twice, it's worth automating," and you have a deep appreciation for the elegance of the Rust borrow checker, we want to talk to you. What You'll Do • Build the Core: Develop and maintain mission-critical business logic using Rust and the Tokio runtime, deployed primarily via high-performance Lambda functions., • Architect Infrastructure: Take full ownership of your stack using Terraform. You'll provision and manage everything from DynamoDB schemas to API Gateways and event-driven pipelines., • Optimize & Profile: This isn't just "functional" code. You will profile memory usage and execution timing to shave off milliseconds and minimize compute overhead., • Define the Interface: Design and implement robust REST APIs that serve as the bridge between our complex backend logic and the frontend., • Cultivate Excellence: Set the bar for Rust within the team. You'll establish coding standards, mentor others, and conduct rigorous code reviews to ensure our "brain" remains healthy and scalable.Technical Profile, • Rust Mastery: You have deep experience with ownership, lifetimes, and asynchronous programming in Rust. You know your way around the ecosystem (Serde, Axum/Tower, etc.)., • Serverless Native: You understand the nuances of event-driven architecture. You know how to work within (and around) the constraints of serverless environments., • Automation First: You have a "script-first" mentality. Experience with IaC (Terraform) is highly recommended., • Data & Observability: You've managed NoSQL databases (DynamoDB) and have a disciplined approach to observability using tools like CloudWatch and CloudTrail., • Testing Discipline: You view unit and integration tests as a core part of the feature, not an afterthought.Our Tech Stack, • Languages: Rust (Async/Tokio), • Infrastructure: AWS (Lambda, SQS, SNS, API Gateway, DynamoDB), • Deployment: Terraform / IaC, • Operations: CloudWatch, CloudTrail, GitHub Actions

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Capgemini, a global leader in digital transformation and insurance technology consulting, is seeking a Guidewire Jutro Specialist to drive innovative digital experience solutions for top-tier insurers. This role focuses on leveraging Guidewire Jutro, a next-generation digital experience framework, to create modern, responsive, and cloud-native applications for policyholders, agents, and insurers. As a key technical expert, you will design and implement scalable UI components, micro frontends, and API-driven solutions that integrate seamlessly with Guidewire PolicyCenter, BillingCenter, and ClaimCenter. You will work closely with business, design, and technology teams to deliver omnichannel, headless, and microservices-based digital experiences. Responsibilities include customizing Jutro UI components, optimizing front-end performance, ensuring API-first architecture, and enabling Agile/DevOps-driven deployments. The ideal candidate has 3+ years of experience in Guidewire Jutro and Digital, strong front-end development skills in React, Angular, JavaScript, TypeScript, and GraphQL, and expertise in cloud platforms (AWS, Azure, GCP). Preferred candidates hold Guidewire Digital Certifications, have experience with CI/CD pipelines, Kubernetes, and DevOps methodologies, and understand P&C insurance digital customer journeys. This role offers an exciting opportunity to work on cutting-edge digital insurance engagements, modernizing customer experiences and self-service portals for global insurers. Join Capgemini’s industry-leading team to shape the future of insurance technology through innovation, InsurTech collaboration, and cloud-native digital solutions. Job Details: Capgemini is a global leader in technology consulting, digital transformation, and innovation. We collaborate with top-tier insurers to drive the modernization of core platforms, customer experience enhancements, and digital transformation initiatives. Our expertise in Guidewire solutions enables insurers to optimize operations, accelerate product development, and create seamless digital experiences. About the Role: We are seeking a Guidewire Jutro Specialist to work on innovative digital transformation engagements with leading insurers. This role requires expertise in Guidewire Jutro, the next-generation digital experience framework, to design and implement modern, scalable, and intuitive customer-facing applications. You will collaborate with business, technology, and design teams to create responsive, cloud-native, and API-driven experiences that enhance policyholder interactions across web and mobile platforms. Key Responsibilities: Guidewire Jutro Implementation & Digital Experience Design • Lead the design, development, and customization of digital applications using Guidewire Jutro., • Create modern, responsive UI/UX components for seamless policyholder and agent interactions., • Ensure API-first architecture and integration with Guidewire Cloud, Guidewire Digital, and third-party InsurTech solutions., • Implement headless and microservices-based digital experiences, enabling insurers to deliver innovative customer journeys. Technical Architecture & Development • Architect and build reusable UI components, widgets, and micro frontends in Jutro., • Collaborate with backend developers to integrate Guidewire PolicyCenter, BillingCenter, and ClaimCenter APIs., • Utilize React, JavaScript, TypeScript, and GraphQL to enhance digital insurance platforms., • Optimize application performance, security, and accessibility across multiple devices and browsers. Consulting & Client Engagement • Partner with business and design teams to understand customer needs and translate them into intuitive digital solutions., • Advise clients on best practices for Jutro adoption, cloud enablement, and omnichannel customer experiences., • Deliver technical demonstrations, proof of concepts, and roadmaps for insurers looking to modernize their digital platforms. Agile & DevOps Enablement • Work within Agile/Scrum teams to deliver iterative and scalable digital solutions., • Utilize CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native architectures for deployment., • Ensure test-driven development (TDD) and automated testing for seamless application performance. Requirements Technical Expertise: • 3+ years of experience with Guidewire Jutro and Guidewire Digital solutions., • Strong proficiency in React, JavaScript, TypeScript, GraphQL, and front-end frameworks., • Experience integrating Guidewire’s PolicyCenter, BillingCenter, and ClaimCenter through APIs., • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture., • Understanding of headless CMS, API gateways, and customer identity & access management (CIAM). Consulting & Insurance Industry Knowledge: • Experience working with top-tier insurers on digital transformation projects., • Strong understanding of P&C insurance products, underwriting, claims, and digital customer journeys., • Ability to translate business requirements into scalable digital experiences. Preferred Certifications & Tools: • Guidewire Certified Specialist – Jutro/Digital (Preferred)., • Cloud Certifications (AWS/Azure/GCP) are a plus. This position comes with competitive compensation and benefits package: • Competitive salary and performance-based bonuses, • Comprehensive benefits package, • Career development and training opportunities, • Flexible work arrangements (remote and/or office-based), • Dynamic and inclusive work culture within a globally renowned group, • Private Health Insurance, • Retirement Plans, • Paid Time Off, • Training & Development About Capgemini Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55+ year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported €22.5 billion in revenues in 2023.

Job Description Trivelta builds the technology that powers a modern online sports betting & casino platform that operators use to launch and offer their own fully customized branded, legally compliant iGaming platforms and products that drive engagement, retention, and revenue. Through our proprietary sports-book and casino engine, we enable partners to offer real social interactions, predictive gameplay, and casino entertainment in one unified experience. As our Lead DevOps Engineer, you will design and build the infrastructure powering our platform serving hundreds of thousands of users. In this role, you'll set the technical vision, lead strategic decisions, and implement world-class DevOps practices that ensure scalability, reliability, and security at every level. From architecting resilient, performant multi-tenant cloud systems to designing cutting-edge CI/CD pipelines, you'll have the freedom and authority to make bold calls that directly shape how our platform scales globally. Key Responsibilities: • Design, deploy, and manage secure, scalable AWS environments using Terraform and Infrastructure as Code (IaC) best practices., • Architect highly available, multi-tenant cloud systems with a focus on resilience, disaster recovery, and performance optimization., • Manage and optimize container orchestration using Amazon EKS/Kubernetes for reliable application deployment and scaling., • Implement and govern multi-account AWS environments with AWS Control Tower, automating provisioning, compliance, and security policies., • Build, maintain, and evolve robust CI/CD pipelines for automated testing, building, and deployment., • Lead network security initiatives, including firewall configuration, Intrusion Detection and Prevention (IDS/IPS), and strict IAM policy enforcement., • Own and manage SOC 2 compliance and other relevant regulatory frameworks, including audits and documentation., • Mentor and lead a diverse, distributed DevOps team; foster collaboration and continuous improvement., • Extensive hands-on experience with Terraform in production environments., • Expert-level knowledge of AWS services (EC2, S3, VPC, IAM, CloudFormation, Control Tower, etc.)., • Proven experience designing and operating multi-tenant cloud architectures., • Strong skills with Kubernetes/EKS container orchestration and management., • Demonstrated ability with CI/CD tools (Jenkins, GitLab CI, CircleCI, or equivalent)., • In-depth understanding of network security, IDS/IPS systems, and IAM best practices., • Experience owning SOC 2 compliance or similar security frameworks, including audits., • Exceptional leadership, communication, and team-building skills with experience managing remote/global teams., • Proven track record of taking initiative and thriving in fast-paced environments., • Passionate about your craft and committed to delivering exceptional results.

Job Description At KeyData Cyber, we're shaping the future of identity security. Recognized by Gartner and KuppingerCole as a leading IAM professional services firm, we specialize exclusively in designing, deploying, and managing end-to-end Identity and Access Management programs for organizations across North America. With 20 years of experience, 50M+ identities managed, and 1,000+ successful deployments, our team is our strongest asset and is built by design to help clients protect critical infrastructure, enable digital transformation, and ensure compliance with confidence. We deliver comprehensive solutions across IAM domains, including: • Workforce IAM (Access Management, Identity Governance and Administration, Privileged Access Management) We are currently looking for a CyberArk Architect to join the Identity & Access Management (IAM) team. In this role, you will be responsible for designing, implementing, and supporting enterprise Privileged Access Management (PAM) solutions using CyberArk across complex environments. You will play a key role in architecting secure privileged access strategies, enabling cloud-based privileged access, and driving governance frameworks. This role will support enterprise CyberArk initiatives across privileged access, cloud PAM, and identity security domains. Current priorities include CyberArk Privileged Cloud, Workforce Password Management, and Vendor Privileged Access solutions, while also supporting broader PAM programs. Location: United States, Remote Employment Type: Full Time Working Hours: This role follows Pacific Standard Time (PST) hours, from 9:00 AM to 5:00 PM What You'll Do: • Act as the lead architect and SME for Privileged Access Management (PAM) solutions, including CyberArk Privileged Cloud, CyberArk Identity, and related privileged access capabilities., • Design and implement secure solutions for privileged credential management, including Workforce Password Management, Vendor Privileged Access, session controls, and secure third-party access., • Lead deployment of browser extensions, mobile applications, user onboarding, and phased adoption activities related to Workforce Password Management solutions., • Collaborate with clients, system administrators, and application owners to define PAM requirements and design scalable, secure architectures., • Develop end-to-end solution architecture, detailed technical designs, and support deployment and implementation activities., • Define and implement PAM governance frameworks, policies, and operational processes., • Assess client environments to identify security gaps, recommend improvements, and define target architectures and roadmaps., • Lead implementation of CyberArk components including vault, CPM, PSM, Secure Web Sessions and cloud-native privileged access solutions., • Support integration with cloud platforms and enterprise systems for privileged access use cases., • Develop SOPs, runbooks, and implementation/deployment plans for privileged access and identity governance solutions., • Provide technical leadership, mentor junior engineers/architects, and guide delivery teams., • Conduct knowledge transfer sessions and educate stakeholders on PAM architecture, frameworks, and best practices., • Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience., • 3+ years of experience in Information Security / Cybersecurity., • 3+ years of hands-on experience designing and implementing CyberArk PAM solutions, including CyberArk Privileged Cloud.•, • Strong experience in CyberArk Workforce Password Management and Vendor Privileged Access Management implementations., • Proven experience in gathering PAM business requirements and translating them into technical design documents., • Experience defining PAM strategies, roadmaps, and governance frameworks for enterprise clients., • Hands-on experience with CyberArk components (Vault, CPM, PSM) and cloud-based PAM deployments., • Good understanding of infrastructure technologies including databases, LDAP, directory services, operating systems, and networking., • Strong problem-solving skills with the ability to communicate complex technical concepts effectively., • Ability to work independently as well as collaboratively within a team environment., • CyberArk certifications such as Certified Delivery Engineer (CDE), Sentry, Certified Delivery Engineer (CDE), Privilege Cloud, or Identity certifications., • Experience in consulting or client-facing roles., • Knowledge of programming/scripting languages such as Java, Python, or PowerShell., • Familiarity with cloud platforms (AWS, Azure, GCP) and their privileged access models. At KeyData Cyber, we put people first, valuing learning, growth, and work-life balance. We offer extensive opportunities to advance your career through leading digital identity projects across North America. Our culture is built on respect, inclusion, and equal opportunity for everyone. Accessibility & Accommodations If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition , and we will make all reasonable efforts to accommodate your request. BrightHire technology is used during the preliminary interview stage for recording, transcription, and candidate evaluation as part of our hiring process. Apply now to join the KeyData Cyber team and be part of our mission to secure the future of digital identity across North America.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Team Overview: The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo's high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default. As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You'll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you'll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks. This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You'll work on highly visible infrastructure at the heart of Klaviyo's event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day. How You'll Make an Impact: The Asynchronous Processing team builds and operates Klaviyo's high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will: • Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams., • Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services., • Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing., • Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka., • Champion best practices by actively collaborating with other teams in a culture that values technical design review., • Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming., • Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.Who You Are:, • You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact., • BA or BS Degree in Computer Science, related field, or equivalent experience., • You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact., • You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved., • You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs., • Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments., • Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar., • Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues., • You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient., • You question convention and proactively look for ways to improve, whether that's workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business., • You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs., • You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team., • Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems. Klaviyo's platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include: • Python / Django / FastAPI / GoLang, • Protobuf, • Apache Pulsar / Apache Kafka / SQS This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionTitle: Senior Data Engineer VIA is making an impact, and so can you. At VIA, our mission is to make communities cleaner, safer, and more equitable. We believe that by working across organizational boundaries, we can achieve greater collective good than we can individually. VIA overcomes digital barriers to collective action by providing the world’s most secure and simple data and identity protection solutions. VIA is trusted by the U.S. Department of Defense and Fortune 100 companies around the globe to solve their toughest data and identity protection challenges. Using our Web3, quantum-resistant, passwordless technologies (19 issued patents), VIA protects data against theft, manipulation, and misuse. An impressive mission requires an equally impressive Senior Data Engineer. As a Senior Data Engineer at VIA, you will play a pivotal role in the growth of our solutions. You will build the foundation that empowers our customers to harness AI for human-centric, data-driven decision-making. You will work cross-functionally with a high-performing team of data professionals, developers, DevOps, and Client Delivery specialists who are already pushing the boundaries of what’s possible with AI. Individuals who excel in this role are motivated by solving complex data accessibility challenges, holding a high bar for data quality and availability, and improving performance. Are you ready to join us? In this role, you will: • Architect secure solutions: Design and implement robust, cloud-based data storage solutions, optimizing schemas for multi-tenant environments while ensuring data accessibility and security and a high standard of trust and transparency, • Engineer data pipelines: Develop, deploy, and maintain resilient ETL/ELT pipelines for both real-time streaming and batch processing, ensuring seamless data flow from raw ingestion to production-ready applications, • Facilitate data accessibility: Build and manage data access layers, including REST APIs and streaming services, to empower downstream users, • Drive data governance and best practices: Contribute across teams to recommend tools, processes, and best practices for maintaining data health, integrity, and security, • Operationalize AI models: Support AI operations (MLOps) by managing versioning, containerization, and deployment of AI models, • Monitor and optimize infrastructure: Build monitoring and alerting systems to track data health and system performance, proactively identifying and remediating bottlenecks What you will bring to this role: • Education: Bachelor’s degree or higher in Computer Science, Engineering, or Data Science, • Experience: 5+ years of professional experience in data engineering or a related role, • Core engineering: A strong foundation in Python (or equivalent), including testing frameworks (e.g., pytest) and ORMs (e.g., SQLAlchemy), • You understand modularity and how to define clear scopes and responsibilities within a large codebase, • Data architecture: Proven experience architecting scalable relational and non-relational (SQL/noSQL) schemas, • You manage the end-to-end database lifecycle, from initial design to production maintenance, • Performance engineering: Expertise in maximizing system performance through advanced query tuning, strategic indexing, and execution plan analysis to eliminate technical bottlenecks, • Cloud infrastructure: Experience with one or more cloud-based databases (e.g., AWS RDS, Azure Database), • You are comfortable configuring compute resources, backups, and geolocation requirements, • Data orchestration: Experience building resilient pipelines using frameworks such as Dagster or Apache Airflow, • You have a track record of maintaining data health for both real-time streaming and batch processing, • Systems thinking: A strong understanding of how data infrastructure integrates into the broader application architecture, • Professional standards: Experience with modern software development practices, including version control (Git), CI/CD pipelines, and a commitment to high-quality, maintainable code One or more of the following would be a plus: • Streaming and edge tech: Experience working with streaming data (e.g., Kafka) or running data models on the edge (e.g., Raspberry Pi, IoT devices), • DevOps tools: Familiarity with containerization and orchestration tools such as Docker and Kubernetes, • API design: Experience architecting and consuming scalable RESTful APIs using standardized design principles and robust authentication protocols, • Web3 and privacy: Familiarity with blockchain data indexing or privacy-preserving data processing techniques, • Leadership: Experience mentoring junior engineers or leading technical projects within a high-performing team What does it take to be a successful VIAneer? Let’s break it down, our VIAneers are: • Self-motivated and passionate about leaving everything they touch better than how they found it, • Firm believers that people should love what they do and are eager to build a culture that enables them to do their best work, • Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence, • People who lead discussions with curiosity and value diverse perspectives, • Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills, • Strong team players who thrive in collaborative environments and celebrate the success of others What can VIA do for you? VIA offers competitive rewards and benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers’ favorite perks: • A salary range of $120,000 - $160,000, • A fully funded, top-tier health benefits plan, fully covered from day one, including vision and dental coverage for your whole family, • Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy), • Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December, • 401(k) plan with up to 5% employer contribution, • Paid parental leave, supporting new parents and families, • A dedicated wellness advisor to help you navigate the programs and opportunities available at VIA, • Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as access to four well-located offices, designed for collaboration and stocked with everything you could need, • Opportunities to work remotely from eligible locations for up to 2 months per year, • Individualized growth opportunities, including internal and external mentorship panels, custom goals and feedback sessions, and/or access to learning and development programs, including VIA’s unrivaled leadership program, • Transit benefits to support commuting costs, • In-person events to foster team bonding and collaboration across different teams Read more about our benefits and perks here. VIA is committed to the importance of belonging. VIA is an equal opportunity employer. When you apply for a role at VIA, your application will be considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you would like to request a specific accommodation, please notify us with your submission. You can learn more about our mission, values, and team on our careers page.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits for additional details. Use of AI:We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at . You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description As a member of the professional services team, the Senior Application Development Architect will lead the design and implementation of modern, cloud-native applications for clients. This role requires deep expertise in backend development, modern frameworks, and cloud-native architectures to guide client modernization initiatives. The ideal candidate is a hands-on architect and technical mentor who drives innovation while delivering scalable, secure, and maintainable solutions Responsibilities including measures and KPI's • Design scalable, secure, and maintainable cloud-native applications that meet client requirements, • Create and maintain application architecture documentation and design patterns, • Develop standardized frameworks and templates for application development projects, • Lead technical discovery workshops and architecture review sessions with clients, • Provide hands-on development leadership for complex application development projects, • Conduct code reviews and ensure adherence to coding standards and best practices, • Serve as the primary technical consultant for application development engagements, • Conduct application assessments and provide modernization roadmaps, • Present technical solutions and recommendations to client stakeholders, • Collaborate with sales and solutions teams on scoping application development projects, • Mentor junior and mid-level developers on modern application development practices, • Contribute to internal knowledge base and development standards documentation, • Ensure projects are delivered on time, within budget, and meet quality standards, • Collaborate with project managers to provide accurate effort estimates and technical guidance, • Participate in project retrospectives and contribute to process improvement initiatives, • Maintain billable utilization targets while delivering high-quality technical solutions Top Candidates will have the following • Passion for modern application development and cloud-native architectures, • Strong technical leadership skills with the ability to guide architectural decisions and mentor development teams, • Deep understanding of backend development frameworks, microservices architectures, and API design patterns, • Experience with containerization, orchestration, and cloud-native development patterns, • Strong customer relationship management skills with the ability to translate complex technical concepts to business stakeholders, • Proactive approach to identifying technical debt and modernization opportunities, • Ability to balance hands-on development with architectural oversight and mentoring, • Experience working in agile development environments with CI/CD practices, • Natural proclivity for staying current with emerging application development technologies and best practices Requirements Experience for the role • Minimum of 7+ years of experience in application development, with at least 4 years in senior or lead architect roles, • AWS Solutions Architect Professional certification or ability to obtain within 6 months, • Demonstrated expertise in backend development using modern languages such as Python, Java, Node.js, or Go, • Strong experience with cloud-native application patterns including microservices, serverless, and container-based architectures, • Hands-on experience with AWS application services including Lambda, ECS/EKS, API Gateway, EventBridge, and Step Functions, • Proficiency with modern application frameworks and libraries (Spring Boot, Django, Express.js, FastAPI, etc.), • Experience with database design and optimization for both relational and NoSQL databases in cloud environments, • Strong understanding of DevOps practices, CI/CD pipelines, and Infrastructure as Code, • Experience leading application modernization projects from legacy systems to cloud-native architectures, • Demonstrated ability to mentor junior developers and provide technical guidance Additional Valuable Skills or Experience • AWS Developer Professional certification, • Full-stack development experience including front-end frameworks (React, Angular, Vue.js), event-driven architectures, and messaging systems (SQS, SNS, Kafka), • Operational expertise with Infrastructure as Code (Terraform, AWS CDK, CloudFormation), monitoring/observability tools (CloudWatch, X-Ray, Prometheus, Grafana), and performance optimization strategies, • Knowledge of security best practices, secure coding, and compliance frameworks (SOC 2, HIPAA, PCI) for application development, • Background in Agile/Scrum methodologies and previous consulting or professional services experience The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionThe Elevator Pitch Join Evolv as Senior Data Infrastructure Engineer in the Machine Learning & Sensors organization, responsible for building and operating the scalable, secure, and reliable data pipelines that power our AI/ML research and production systems. In this role, you will own the end‑to‑end data lifecycle—from collection on thousands to millions of edge devices, through cloud ingestion and processing, into a centralized data factory enabling model training, evaluation, and continuous improvement. Data is the backbone of our mission to deliver best‑in‑class AI‑based weapon detection systems. You will ensure that data flows seamlessly across geographies, devices, and cloud systems while meeting strict requirements for quality, privacy, security, and scale. This role is ideal for someone who thrives at the intersection of distributed systems, cloud pipelines, and ML‑driven data needs. Success in the Role: What performance outcomes will you work toward in the first 6–12 months? In the first 30 days: • Develop a deep understanding of existing edge‑to‑cloud data pipelines and deployment environments., • Review current data ingestion flows, governance policies, and cloud infrastructure., • Assess pain points in data reliability, quality, and operational scalability., • Build relationships with AI/ML, data science, field operations, and cloud engineering teams., • Design and implement improvements to core ingestion, validation, and processing pipelines., • Deploy scalable data pipeline with AWS‑based components (S3, EC2, Lambda, Glue, Step Functions, SageMaker integrations)., • Introduce automated validation workflows to detect corruption, missing metadata, or malformed data., • Design and implement automated model evaluation, model training and model improvement pipeline to speed up experiments, • Own the entire lifecycle of mission‑critical data pipelines supporting AI/ML research and production., • Architect next‑generation edge‑to‑cloud data systems that scale across millions of devices., • Define and enforce data governance frameworks including retention, access control, privacy, and lineage., • Enable ML teams to rapidly experiment through high‑quality, discoverable, versioned datasets. The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? End‑to‑End Data Pipeline Ownership: • Design, build, and maintain both research and production data pipelines spanning edge devices, cloud services, and centralized data platforms., • Own the full data lifecycle: collection, ingestion, processing, obfuscation, versioning, access, retention, and retirement., • Edge‑to‑Cloud Data Flow:, • Develop resilient ingestion pipelines capable of handling variable connectivity and device heterogeneity., • Support secure data transfer from the field to cloud storage systems., • Collaborate with field ops to enhance data coverage, observability, and operational robustness., • Data Quality, Governance & Compliance:, • Implement privacy‑preserving transformations and obfuscation pipelines., • Build automated cleaning/validation steps to remove duplicates, detect corruption, and validate metadata., • Provide scalable data services for model training, evaluation, and research experimentation., • Support continuous data refresh and retraining workflows., • Integrate with data labeling services and annotation workflows., • Build and optimize pipelines using AWS services (S3, EC2, SageMaker, Lambda, Glue, Step Functions)., • Partner with AI/ML engineers, scientists, and data scientists to understand data requirements., • Translate feedback into automated improvements in data collection, labeling, and consumption., • Design and manage data schema, data versioning and data factory updates, • Architect systems that scale globally across millions of devices., • Ensure the data platform remains flexible for research and reliable for production operations. Qualifications: Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, or related field., • 2-3+ years of experience building production data pipelines and data platforms that support AI/ML models., • Strong proficiency in Python, C++ and distributed data processing frameworks., • Hands‑on experience with AWS services including S3, EC2, SageMaker, and Glue., • Experience designing data systems that support large‑scale ML training and experimentation., • Knowledge of data governance, access control, and lifecycle management., • Experience collaborating with ML, data science, operations, and cloud teams. Preferred Qualifications: • Experience building pipelines spanning edge devices and cloud systems., • Background working with large‑scale sensor, image or IoT data., • Familiarity with data labeling tools and annotation workflows., • Experience implementing dataset versioning, lineage, and reproducibility systems., • Understanding of privacy, compliance, or regulated data environments., • Experience supporting global, multi‑region data platforms. Example Problems You Will Own • Design a resilient global ingestion pipeline aggregating sensor data from millions of devices., • Build ML‑ready data services enabling easy discovery, versioning, and consumption of datasets., • Implement automated validation and cleaning workflows that dramatically reduce bad data., • Define and enforce lifecycle and governance policies across research and production datasets. What is leadership like for this role? What is the structure and culture of the team? • You will join our R&D organization, reporting directly to VP of ML and sensors. In this role, you will interface with cross-disciplinary teams of highly skilled and autonomous engineers with expertise in Electromagnetics, Computer Vision, and AI. Our R&D organization includes more than 100 dedicated developers, engineers, scientists, managers and directors, each bringing deep technical knowledge and a strong culture of collaboration and support., • The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun! Where is the role located? This role is based at our headquarters in Waltham, Massachusetts. Due to the nature of our software-enabled hardware products, this position requires a minimum of 60% or 3 days per week on-site work. Candidates MUST live within commutable distance to our office in Waltham, MA What is the salary range? The base salary range for this full-time position is $129,000 - $209,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. · Please note that the compensation details listed in role posting reflect the base salary only, and do not include commission, equity, or benefits Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job DescriptionApplied AI Engineer We are hiring an Applied AI Engineer (you could also be a Founder, Product Engineer, Founding Engineer, Forward Deployed engineer or Technical Product Leader). This is a hands-on technical role for people who think in code, ship in weeks, and measure success in business impact. You'll work across multiple portfolio companies simultaneously, partnering with CPOs and CTOs to identify AI-native product opportunities, refactor legacy systems into AI-first architectures, and build the next generation of their products. You'll operate with the autonomy of a startup founder while leveraging the resources and portfolio access of a leading private equity firm. We're looking for true full-stack builders and product engineers. People who can own a product end-to-end, from identifying the opportunity to shipping the solution. You're equally comfortable talking product strategy with a CPO, architecting systems with a CTO, writing production code with engineers, and identifying business processes and outcomes in partnership with the COO that are ripe for automation. What you are doing: Embed & Build (50%) -You'll work across multiple portfolio companies in parallel, with engagements averaging six months. You're embedded as a builder with commit access: Build full-stack: Own the entire product surface, frontend, API, data layer, infrastructure. Ship complete features beyond just backend scripts -Refactor legacy to AI-first: Transform existing products and workflows into AI-native architectures. Identify where AI can replace, augment, or reimagine current functionality. -Prototype in days: Build working proof-of-concepts fast. AI assistants, workflow automation, predictive models, intelligent features, and whatever solves the highest-impact problem -Ship to production: Take prototypes to production-grade systems with proper testing, monitoring, and documentation. -Pair with engineers: Work alongside portfolio company developers, transferring knowledge through code review, pairing sessions, and building together. -Leave systems, not slides: When engagements evolve, you leave behind working software, documented code, trained teams, and playbooks Find & Shape Opportunities (20%) -Identify AI disruption opportunities: Analyze market dynamics, customer workflows, and competitive landscape to find where AI can create step-change product advantages -Partner with CPOs/CTOs: Work as a strategic thought partner to product and technical leadership, bringing an informed perspective on what's possible with AI -Scope and prioritize: Turn opportunities into concrete product roadmaps with clear milestones, success metrics, and resource requirements -Validate with customers: Get in front of customers to validate assumptions, understand pain points, and refine product direction -Assess legacy systems: Evaluate existing product architectures and identify the highest-leverage paths to AI-first transformation Discover & Evaluate Tools (15%) -Scout the AI landscape: Continuously discover, evaluate, and test new AI tools, frameworks, and platforms as the ecosystem evolves -Build the toolkit: Curate and maintain a best-in-class set of AI development tools, MCP servers, and reusable components for deployment across the portfolio -Benchmark and recommend: Run structured evaluations of new tools against real portfolio use cases; make clear recommendations on what to adopt, what to skip -Stay at the frontier: Be the person who knows what shipped last week and what's coming next month in AI tooling Train & Enable Teams (15%) -Train on AI best practices: Teach portfolio company teams how to build with AI. Prompt engineering, model selection, RAG architectures, agent design, evaluation methods -Level up dev workflows: Train engineers on AI-native development using Cursor, Claude Code, and similar tools; transform how they write, review, and ship code -Create learning resources: Build playbooks, workshops, and documentation that portfolio teams can use long after your engagement -Productize patterns: Turn solutions into reusable templates and frameworks deployable across the portfolio -Raise the bar: Leave every team more capable of building with AI than when you arrived What you need: -You ship complete products from frontend to infrastructure -AI-native developer: You're a power user of Cursor, Claude Code, or similar. You don't just use autocomplete; you use AI to architect, debug, refactor, and ship 10x faster -MCP & extensibility fluent: You understand the Model Context Protocol and build custom tools, skills, and MCP servers to make AI agents useful for real workflows -Context Engineering: You go beyond RAGs for other techniques that provide consistent memory and find methods to create consistent deterministic output -Tool scout: You're obsessed with finding and testing new AI tools. You know what's shipping across the ecosystem and have opinions on what's worth using -Product thinker: You can identify market opportunities, understand customer needs, and translate them into product strategy, not just code -Legacy modernizer: You've transformed existing systems into modern architectures. You know how to incrementally refactor without breaking production -Teacher: You can explain complex AI concepts clearly and train teams to adopt new tools and practices -Adaptive & autonomous: You thrive juggling multiple companies and contexts. You can context-switch, prioritize, and deliver across parallel engagements -Travel-ready: Willing to spend significant time on-site with portfolio companies Preferred Experience: -Being a founder -Background in consulting, PE/VC backed tech -Familiarity with B2B SaaS business models and metrics (ARR, NRR, LTV/CAC) -Experience with enterprise systems (Salesforce, NetSuite, Zendesk) and their APIs -Technical Toolkit AI Development: Cursor, Claude Code, GitHub Copilot, you live in AI-assisted IDEs and know how to get maximum leverage -AI Infrastructure: MCP servers, custom skills/tools, agent frameworks, RAG pipelines, vector databases, LangChain/LlamaIndex -LLM APIs: OpenAI, Anthropic, and the judgment to choose the right model for the job -Full Stack: React/Next.js, Node.js, Python, TypeScript, SQL, REST/GraphQL Data: Modern data pipelines, ETL/ELT, dbt, analytics engineering Infrastructure: AWS/GCP/Azure, Docker, CI/CD, infrastructure-as-code Benefits -Health Coverage -Great PTO plan! -Retirement Benefits • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 04/05/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Apiphani is a technology-enabled managed services company dedicated to redefining what it means to support mission-critical enterprise workloads. We're a small but rapidly growing company, which means there's lots of room for growth and learning opportunities abound! Apiphani is dedicated to creating a diverse and inclusive work environment for all as a fundamental component of our business. Diversity and inclusion are the bedrock of creativity and innovation. Without diversity of experience and thought, we would fail to progress as a company and as a team. Apiphani strives to foster an environment of belonging, where every employee feels respected, valued, and empowered. We embrace the unique experiences, perspective, and cultural background, which only you can bring to the table. Senior Software Engineer — Agentic AI Platform Location: Remote | Full-time | Competitive Compensation Apiphani is building the future of intelligent infrastructure automation through agentic AI. We're looking for a Senior Backend Engineer to help design and build the systems that power Luumen — an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration. You'll work on distributed systems that combine traditional infrastructure automation with large language models (LLMs), retrieval-augmented generation (RAG), and intelligent agents. What You'll Do • Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions, • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines, • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure, • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities, • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant), • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows, • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health, • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices, • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality What We're Looking For • 6+ years of backend engineering experience in production environments, • Strong proficiency in Python and TypeScript for building distributed, event-driven systems, • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.), • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models, • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation, • Experience with infrastructure-as-code tools such as Terraform or AWS CDK, • Understanding of SQL and schema migration workflows (PostgreSQL or similar), • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows, • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team, • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments Bonus Points • Experience working with LangChain, OpenAI, or Anthropic APIs, • Familiarity with agentic frameworks or AI orchestration systems, • Background in observability or APM tooling (e.g., Datadog, Dynatrace), • Prior experience building automation or infrastructure management tools, • Contributions to open-source LLM or MLOps projects, • Interest in shaping how AI is applied to real-world IT operations Why Join Apiphani You'll be joining a globally distributed, high-performing team focused on redefining how enterprises manage infrastructure. Every feature you build will directly impact how engineers interact with intelligent systems in production environments. This is an opportunity to help architect the foundations of a platform that blends infrastructure automation, AI, and agentic reasoning — where your technical decisions will shape the next generation of enterprise operations. Base Salary$120,000—$160,000 USDCompany Benefits* • Medical/dental/vision - 100% paid for employees, 50% paid for dependents, • Life and disability - 100% paid for employees, • 401K - 3% contribution, no employee contribution necessary, • Education and tuition reimbursement - up to $50K annually, • Employee Stock Options Plan, • Accident, critical illness, hospital indemnity benefits offered through our providers, • Employee Assistance Program, • Legal assistance, • Paid Time Off - up to 6 weeks per year, • Sick Leave - up to 2 weeks per year

Job Description Responsibilities Job Summary The Principal Cloud Development Operations Engineer (SDLC & CI/CD Controls) defines and leads DeepHealth’s enterprise DevSecOps strategy, serving as the organizational authority on pipeline security and secure software delivery. The role drives the design, governance, and continuous improvement of automated security controls across all CI/CD pipelines and developer workflows—ensuring security is built in from design through production while enabling delivery that is fast, measurable, and audit-ready at scale. Essential Duties and Responsibilities • Define and own the enterprise DevSecOps toolchain strategy; architect standardized pipeline security frameworks—covering SAST, SCA, secrets scanning, IaC scanning, and container scanning—adopted across all engineering teams., • Establish and govern enterprise release security standards and gating policies across the software delivery organization; lead exception governance and risk acceptance frameworks at the program level., • Drive organization-wide adoption of secure development standards; influence engineering leadership on secure-by-default practices and set measurable risk reduction goals tied to business objectives. CI/CD Pipeline Hardening & Automation • Architect and lead the development of enterprise-grade automation frameworks for pipeline security checks, artifact integrity, pipeline hygiene, and audit evidence generation; define reusable standards adopted across the engineering organization., • Define and enforce secrets management standards and credential exposure reduction strategies across the entire build and deployment ecosystem; partner with platform leadership to drive enterprise-wide adoption., • Establish tooling performance standards and quality criteria for security controls across all pipelines; lead continuous improvement of the security toolchain to optimize the balance between risk coverage and developer velocity. Vulnerability Management Workflow (Engineering-Usable) • Define and own the enterprise vulnerability risk management framework; lead cross-functional prioritization of findings with product, engineering, and compliance stakeholders, driving systemic remediation strategies., • Establish and own vulnerability SLA standards and exception governance policies; provide executive-level reporting on risk posture, aging trends, and program-wide effectiveness to senior leadership. Security Standards, Threat Modeling & Enablement • Lead and advance DeepHealth’s threat modeling methodology; define organizational standards for security risk assessment and translate complex threat landscapes into strategic engineering priorities., • Establish and lead the organization’s security champions program; define the DevSecOps maturity roadmap and drive measurable, sustained improvement in security culture across all engineering teams. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned, and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • Bachelor’s degree in engineering or related field or equivalent experience required., • 12+ years in DevOps, platform engineering, application security, or software engineering with hands-on CI/CD responsibility required., • Demonstrated record of designing and leading enterprise DevSecOps programs, including toolchain strategy, pipeline security architecture, and cross-organizational adoption at scale., • Exceptional communication and influence skills; demonstrated ability to drive strategic alignment on DevSecOps programs across engineering, product, and executive stakeholders. Technical Skill Set (Required) CI/CD & Engineering Systems (Hands-On) • Deep expertise in CI/CD platforms (GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps); able to architect multi-platform pipeline strategies and evaluate emerging tooling at an organizational level., • Expertise in designing and governing enterprise-scale pipeline policy frameworks, release controls, and branch protection standards; defines organizational standards adopted across teams. Scripting / Automation • Advanced proficiency in Python, Bash, PowerShell, or equivalent; designs automation architectures and reusable frameworks adopted across the engineering organization., • Expert-level API integration capability; architects toolchain integrations and metrics platforms to support program-wide reporting and continuous compliance evidence generation. Application Security Fundamentals • Expert knowledge of application security risks, attack vectors, and secure development patterns; contributes to and influences internal security standards and industry frameworks (OWASP, NIST, CIS). IaC / Container Awareness • Deep expertise in IaC and container security architecture (Terraform, CloudFormation, Bicep; Docker, Kubernetes); defines organizational standards for supply chain integrity, image scanning, and runtime security controls. Preferred Qualifications • Demonstrated program leadership in regulated environments (PHI/PII); authored or significantly contributed to enterprise HIPAA, SOC2, or ISO 27001 compliance programs with direct audit and evidence ownership., • Expert-level knowledge across the DevSecOps/AppSec toolchain (Semgrep, SonarQube, Snyk, Trivy, Prisma/Defender); experience leading enterprise-scale tooling evaluation, selection, and onboarding programs., • Advanced security certifications strongly preferred (CISSP, CSSLP, AWS Security Specialty, or equivalent); thought leadership through published work, conference presentations, or open-source contributions is a strong differentiator. Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Travel This position requires domestic / international travel up to 10%. Working Environment Remote Salary: $200,000 - $230,000

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you. You will report into the Director of AI and App Engineering and …. How you'll make a difference: • Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance., • Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability., • Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees., • Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies., • Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale., • Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques., • Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently., • Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting., • Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production., • 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production., • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API., • Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks., • Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI., • Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models., • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$112,000—$168,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, Recommendations Boston, MA (Hybrid) What you'll do As the Senior Software Engineer for Product Recommendations, you will be a key contributor in building the machine learning–powered systems that decide which products to show to whom and when across all channels powered by our platform. This hands-on backend role focuses on converting billions of behavioral events into personalized product recommendations that drive revenue for merchants. You will define technical direction, build, and operate services and data pipelines end to end, from data ingestion and feature generation to ranking models and APIs. • Lead the design, architecture, and operation of backend services that power product recommendations across Klaviyo experiences (email, SMS, KAgent, onsite, etc.), upholding standards for reliability, performance, and clear APIs., • Architect and maintain robust, large-scale data processing pipelines (e.g., using Apache Spark or similar frameworks) that transform raw events and catalog data into high-quality features and inputs for recommendation models, ensuring data quality and lineage., • Collaborate closely with ML engineers and product stakeholders to strategically productionize recommendation models—defining high-level interfaces, robust feature contracts, and advanced deployment patterns for batch and/or real-time inference systems., • Drive the development of ML/AI systems such as vector search that power recommendation, semantic search, and sophisticated agentic use cases., • Implement and evolve data and service observability (metrics, logging, tracing, dashboards) to proactively ensure recommendations are correct, fast, and highly available for all customers., • Contribute to and mentor others on shared data frameworks, libraries, and architectural patterns to accelerate the development of new recommendation use cases and iteration velocity across the team., • Work with Product to break down projects into clear milestones, balancing the need for rapid experimentation with technical soundness and long-term maintainability., • Lead data-driven decision making and A/B testing efforts—ensuring recommendation systems are instrumented with the right metrics, and independently interpreting results to guide future product and engineering iterations., • Participate in on-call and incident response for the systems you own, driving major post-incident follow-ups that substantially improve the resilience and operability of our recommendation stack., • Champion and drive the transformation of engineering workflows by integrating AI from the ground up—for example, using AI to accelerate development, automate complex tests, or build smarter monitoring and debugging tools., • 5+ years of software engineering experience, with experience building and operating mission-critical backend services and systems in a production environment., • Experience in backend and distributed systems at scale; you have a proven track record working on high-throughput, highly available services and are an skilled in optimizing for latency, reliability, and operability., • Proficient in Python and open to working in other languages, • Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes); you manage infrastructure and CI/CD pipelines as a core part of your development process., • Experience in data-driven decision making and A/B testing—you can define how to instrument experiments, read and interpret results, and ensure learnings are folded back into system design., • Comfortable designing and querying data models in relational, analytical, and NoSQL datastores (e.g., Postgres, MySQL, data warehouses, Redis, vector databases)., • Feel at home with modern DevOps practices (CI/CD, monitoring, alerting) and how to apply them to architect large-scale data and recommendation systems., • Track record of owning multi-component projects end-to-end—from initial technical design and implementation through rollout, monitoring, and sustained iteration., • Excellent technical collaborator and communicator: you can clearly articulate complex technical trade-offs to both technical peers and non-technical partners, and you work effectively to drive alignment across ML Engineers, Software Engineers, PMs, and other teams., • Previous experience working on product recommendation systems or adjacent ML-powered features (ranking, personalization, search, or similar)., • Experience with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for architecting and building complex batch or streaming pipelines., • Experience in AI/ML systems and products, such as integrating models into production systems, building features powered by ML, or contributing to the ML infrastructure., • Experience training and iterating on machine learning models (e.g., for ranking, prediction, or personalization)., • Experience with ML and distributed compute frameworks such as Ray or similar tools., • Experience partnering with data science or ML teams to productionize models (designing feature stores, ensuring offline/online parity, advanced model deployment and monitoring)., • Background in e-commerce, marketing tech, or consumer personalization products. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Lead AI Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in systems that can learn, run, and optimize themselves based on measurable outcomes. We've built the infrastructure and applications that power the interface between businesses and consumers — supporting over 182,000 customers, billions of consumer profiles, and hundreds of billions of customer interactions. Now, we're building the next generation of AI and machine learning technologies to power these products — enabling AI agents that can automatically create, execute, and optimize marketing and customer experience strategies for any business. As a Lead AI Engineer, you'll take ownership of designing, building, and scaling the backend and machine learning systems that form the foundation of Klaviyo's AI strategy. You'll partner closely with product managers, data scientists, and engineers to deliver intelligent, outcome-driven systems that operate at massive scale — while mentoring others and setting technical direction for the team. How You Will Make a Difference • Lead the design and development of backend and ML systems that scale to serve 182K+ customers., • Build robust, reliable, and efficient data processing and model-serving pipelines that power production ML models., • Develop and optimize predictive systems (e.g., conversion likelihood, engagement ranking, personalization, anomaly detection)., • Architect systems and services that enable our AI agents to learn and improve autonomously from reward or outcome signals., • Collaborate cross-functionally to translate business challenges into scalable, measurable ML solutions., • Collaborate with software engineers and product managers to turn predictive models into intuitive product features for our customers., • Mentor engineers and help evolve Klaviyo's ML engineering best practices, tooling, and architecture., • Foster a culture of ownership, experimentation, and data-driven innovation across teams. Who You Are • 7–10 years of experience in machine learning engineering or applied software engineering, with a focus on classical ML and predictive modeling., • Deep understanding of supervised learning methods such as random forests, XGBoost, logistic regression, and ensemble techniques., • Proven track record of building and scaling production-grade ML systems end to end (data pipelines, training, deployment, and monitoring)., • Experienced backend engineer comfortable with distributed systems and high-scale architectures., • Proficient in Python and modern frameworks (FastAPI, Django preferred)., • Skilled with big data and streaming technologies (Apache Spark, Kafka, Hadoop)., • Hands-on with asynchronous processing and distributed task queues (Celery, SQS, RabbitMQ, Redis)., • Strong understanding of databases and ORMs (SQLAlchemy, Alembic) and cloud-native architectures (AWS, Kubernetes, CI/CD)., • Excellent communicator who can set technical direction, influence product strategy, and mentor junior engineers., • Curious, pragmatic, and passionate about building AI systems that drive measurable business impact. Nice to Have • Experience training and deploying ML models in production environments that generated measurable impact., • Familiarity with reinforcement learning or agentic AI systems that adapt based on outcome or reward signals. #indeedRD We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$176,000—$264,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Mission Summary: As a Principal Engineer within the Platform Engineering group, you will serve as the primary architect for Motional's global cloud and hybrid infrastructure. Your mission is to evolve our current R&D environment into a hardened, cost-efficient, and scalable commercial backbone. You will lead the technical strategy for our hybrid cloud migration and ensure our internal frameworks provide the velocity required for rapid AV deployment. What you'll be doing: • Architect and drive the execution of our hybrid cloud strategy. You will design the networking, security, and compute abstraction layers that allow seamless workload mobility between on-premises high-performance computing (HPC) and AWS., • Serve as the primary architect for our Kubernetes-based developer framework. You will identify and implement core improvements to the framework to enhance scalability, cost tracking and access control, reduce configuration complexity, and increase developer velocity., • Lead organization-wide initiatives to harden service reliability. You will define the standards for observability, failover strategies, and production-grade stability across all platform-layer services., • Prototype and deploy GenAI-focused tooling and agents to automate Platform Engineering tasks. This includes leveraging LLMs for automated incident response, predictive infrastructure scaling, and intelligent log analysis., • Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience), • 12+ years in Software or Infrastructure Engineering, with significant experience in a Principal or Architect capacity, • Deep, expert-level knowledge of Kubernetes internals and ecosystem (EKS, Operators (KubeRay, ArgoWorkflow, Airflow), Service Mesh, GitOps), • Proven track record of designing and migrating complex workloads between on-prem data centers and AWS, • Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog), • Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability, • Expert-level experience managing and architecting solutions using Equinix datacenter products and services (e.g., Equinix Fabric, Network Edge, Metal) to enable high-speed hybrid cloud connectivity (AWS Direct Connect), • Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries., • Experience leading technical projects in a globally distributed team The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$200,000—$275,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description Mission Summary The AI Data Foundry is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives: • Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant., • Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform., • Play a key role in designing and building the next generation of data infrastructure., • Build scalable backend services for data discovery and data lineage systems., • Write high quality, maintainable code to process petabytes of data, • Lead and champion high-level system design and quality code reviews/technical contributions., • 3+ years of professional experience as a data engineer or data pipeline engineer, • BS or MS in Computer Science or related field, • Strong development experience with Python and SQL., • Expertise with AWS services and solutions (EKS, Lambda, ETL), • Experience with distributed system design and development, • Experience with Infrastructure Monitoring Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$149,000—$198,500 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you. You will report into the Director of AI and App Engineering and …. How you'll make a difference: • Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance., • Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability., • Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees., • Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies., • Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale., • Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques., • Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently., • Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting., • Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production., • 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production., • Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API., • Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks., • Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI., • Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models., • Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi., • Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$112,000—$168,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Location Our Sales Development Manager will be an integral part of our sales team. This role is fully remote on the East Coast of the US. Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. The Opportunity We are looking for a hands-on, results-oriented Sales Development Manager (SDM) to lead and scale our global SDR team across North America. Reporting to the VP, Enterprise Platforms, you will be responsible for coaching, managing, and scaling a high-performing team focused on generating qualified pipeline through a heavy outbound motion. This is a pivotal role for an agile, "startup-minded" leader who thrives in a fast-paced, evolving environment. You will be the architect of our outbound engine, responsible for building the foundation of how we message and engage with our target personas. Responsibilities • Coach the team on multi-threading and Account-Based (ABM) techniques to map out complex organizations and engage multiple C-suite and VP-level stakeholders within a single high-value account., • Act as a "startup-minded" leader, be ready to learn quickly, evolve strategies based on market feedback, and embrace constant change., • Lead 1:1s, call coaching sessions, and weekly training to drive messaging consistency and conversions., • Leverage CRM and sales tools (e.g., Salesforce, Outreach, Gong) to monitor KPIs, identify trends, and enforce best practices., • Partner with Sales leadership and Marketing to ensure message-market fit and tight alignment on territory planning and "rules of engagement." Participate in forecasting and QBRs, contributing insights on pipeline performance and SDR-led contribution to revenue goals., • 2+ years of experience in Sales Development or Business Development or sales leadership, specifically within a SaaS or Cloud environment., • Proven success in building an outbound motion from the ground up, rather than just managing an existing one., • Expert-level skills in crafting call scripts, objection handling frameworks, and persona-based messaging., • Experience managing or working with teams across different time zones., • Experience coaching reps on outbound prospecting, discovery, and objection handling., • Strong operational mindset with hands-on experience in Salesforce, Outreach, and other GTM productivity tools., • Exceptional written and verbal communication skills for both training reps and communicating with executive leadership., • Data-driven and process-oriented with the ability to translate insight into action.Comfortable working in a remote, fast-paced, and constantly evolving environment. Be your truest self. Work on your terms. Make a difference. We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. Sounds too good to be true? Check out our Glassdoor Page. We thought so too, but we're here and happy we hit that 'apply' button. • Unlimited Vacation, • Flexible Working Options, • Health Insurance, • Parental Leave, • Employee Stock Option Plan, • Home Office Allowance, • Professional Development Stipend #LI-Remote

Job Description At KeyData Cyber, we're shaping the future of identity security. Recognized by Gartner and KuppingerCole as a leading IAM professional services firm, we specialize exclusively in designing, deploying, and managing end-to-end Identity and Access Management programs for organizations across North America. With 20 years of experience, 50M+ identities managed, and 1,000+ successful deployments, our team is our strongest asset and is built by design to help clients protect critical infrastructure, enable digital transformation, and ensure compliance with confidence. We deliver comprehensive solutions across IAM domains, including: • Workforce IAM (Access Management, Identity Governance and Administration, Privileged Access Management) We are currently looking for a CyberArk Architect to join the Identity & Access Management (IAM) team. In this role, you will be responsible for designing, implementing, and supporting enterprise Privileged Access Management (PAM) solutions using CyberArk across complex environments. You will play a key role in architecting secure privileged access strategies, enabling cloud-based privileged access, and driving governance frameworks. This role will support enterprise CyberArk initiatives across privileged access, cloud PAM, and identity security domains. Current priorities include CyberArk Privileged Cloud, Workforce Password Management, and Vendor Privileged Access solutions, while also supporting broader PAM programs. Location: United States, Remote Employment Type: 10 months contract Working Hours: This role follows Pacific Standard Time (PST) hours, from 9:00 AM to 5:00 PM What You'll Do: • Act as the lead architect and SME for Privileged Access Management (PAM) solutions, including CyberArk Privileged Cloud, CyberArk Identity, and related privileged access capabilities., • Design and implement secure solutions for privileged credential management, including Workforce Password Management, Vendor Privileged Access, session controls, and secure third-party access., • Lead deployment of browser extensions, mobile applications, user onboarding, and phased adoption activities related to Workforce Password Management solutions., • Collaborate with clients, system administrators, and application owners to define PAM requirements and design scalable, secure architectures., • Develop end-to-end solution architecture, detailed technical designs, and support deployment and implementation activities., • Define and implement PAM governance frameworks, policies, and operational processes., • Assess client environments to identify security gaps, recommend improvements, and define target architectures and roadmaps., • Lead implementation of CyberArk components including vault, CPM, PSM, Secure Web Sessions and cloud-native privileged access solutions., • Support integration with cloud platforms and enterprise systems for privileged access use cases., • Develop SOPs, runbooks, and implementation/deployment plans for privileged access and identity governance solutions., • Provide technical leadership, mentor junior engineers/architects, and guide delivery teams., • Conduct knowledge transfer sessions and educate stakeholders on PAM architecture, frameworks, and best practices., • Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience., • 3+ years of experience in Information Security / Cybersecurity., • 3+ years of hands-on experience designing and implementing CyberArk PAM solutions, including CyberArk Privileged Cloud.•, • Strong experience in CyberArk Workforce Password Management and Vendor Privileged Access Management implementations., • Proven experience in gathering PAM business requirements and translating them into technical design documents., • Experience defining PAM strategies, roadmaps, and governance frameworks for enterprise clients., • Hands-on experience with CyberArk components (Vault, CPM, PSM) and cloud-based PAM deployments., • Good understanding of infrastructure technologies including databases, LDAP, directory services, operating systems, and networking., • Strong problem-solving skills with the ability to communicate complex technical concepts effectively., • Ability to work independently as well as collaboratively within a team environment., • CyberArk certifications such as Certified Delivery Engineer (CDE), Sentry, Certified Delivery Engineer (CDE), Privilege Cloud, or Identity certifications., • Experience in consulting or client-facing roles., • Knowledge of programming/scripting languages such as Java, Python, or PowerShell., • Familiarity with cloud platforms (AWS, Azure, GCP) and their privileged access models. At KeyData Cyber, we put people first, valuing learning, growth, and work-life balance. We offer extensive opportunities to advance your career through leading digital identity projects across North America. Our culture is built on respect, inclusion, and equal opportunity for everyone. Accessibility & Accommodations If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition , and we will make all reasonable efforts to accommodate your request. BrightHire technology is used during the preliminary interview stage for recording, transcription, and candidate evaluation as part of our hiring process. Apply now to join the KeyData Cyber team and be part of our mission to secure the future of digital identity across North America.

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint., • Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable., • Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions., • Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components., • Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence., • Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment. What We're Looking For: • BS in Computer Science, Machine Learning, or related field, or equivalent professional experience., • 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment., • Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models., • Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning., • Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX)., • Strong software engineering fundamentals: testing, CI/CD, containerization, and system design., • Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference., • Demonstrated ability to ship production-grade ML systems and mentor team members., • Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publications or open-source contributions in RL, distillation, or efficient ML. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. State Street Investment Management ("State Street IM", formerly State Street Global Advisors) is seeking a Global Head of Quality Assurance (QA) to lead and modernize the firm's Quality function across a highly regulated, global investment management environment. This executive role is responsible for defining and executing the firm-wide QA and Quality Engineering strategy, including the adoption of AI-enabled testing, test automation at scale, and the evolution toward a modern, engineering-driven quality model. The role will establish a consistent global QA operating model and partner closely with business-aligned engineering teams across regions, including US, China and India, to ensure predictable, high-quality delivery. Reporting to the Global Head of Architecture and Engineering Governance within the COO organization, this role is central to State Street IM's transformation toward a Product, Platform, and Service (PPS) operating model. The Global Head of QA will work closely with COO leadership, engineering, and product teams to embed quality, risk management, and controls throughout the software delivery lifecycle-aligning technology outcomes with business strategy, regulatory expectations, and enterprise architecture standards. Key Responsibilities Strategy & Operating Model • Define and execute the enterprise QA and Quality Engineering strategy, including AI-driven testing, automation, performance testing, and the transition from traditional QA to an engineering-led quality model., • Establish and continuously evolve the global QA operating model, aligned to enterprise technology standards, control expectations, and the PPS transformation., • Lead and scale global QA teams with clear role definitions, capability development plans, talent pipelines, and performance management practices., • Build a strong culture of engineering excellence, accountability, and continuous improvement within the QA organization., • Partner closely with distributed QA and testing teams in US, China and India, establishing consistent quality standards, delivery governance, and execution discipline., • Provide hands-on technical leadership in test architecture, automation frameworks, and CI/CD quality integration., • Evaluate and govern QA tooling and platforms, incorporating secure-by-design principles and compliance with technology risk requirements., • Embed quality and controls throughout the SDLC/STLC, partnering with engineering and product leaders to ensure compliant and auditable delivery., • Establish and monitor KPIs, KRIs, and controls, providing executive-level dashboards and insights on quality, stability, and release readiness., • 15+ years of experience in software testing and Quality Assurance, with deep expertise in modern QA and Quality Engineering practices., • Proven track record of building and transforming global QA organizations, including large-scale transitions from manual testing to automation- and engineering-driven models., • Demonstrated experience leading or partnering with QA/testing teams in China and/or India within global enterprises., • Strong technical foundation in test automation frameworks, CI/CD pipelines, and software engineering principles, with the ability to provide architectural and tooling guidance., • Excellent program and delivery management discipline, including planning, dependency management, RAID governance, and execution rigor., • Exceptional communication and stakeholder management skills, with the ability to convey complex technical and risk topics to executive audiences., • Demonstrated ability to lead through influence within matrixed, regulated organizations, delivering measurable improvements in quality, resilience, and risk reduction., • Strong background in technology-enabled operating model transformation, including standardization, automation at scale, and governance maturity., • Hands-on experience applying AI/ML techniques to software testing, including intelligent test generation, prioritization, analytics, or defect prediction., • Deep expertise in Quality Engineering or SDET-led models, with proven "shift-left" and "shift-right" testing adoption., • Advanced experience with UI, API, data, performance, and resiliency testing across modern technology stacks., • Experience integrating QA into DevOps and CI/CD pipelines, enabling continuous quality and fast feedback loops., • Proven ability to architect scalable test solutions for cloud-native, microservices, or distributed platforms., • Familiarity with AWS and/or Azure and testing in cloud-based environments. The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit . Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

This job is with Klaviyo, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Role Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You’ll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers’ automations run reliably and without delay. As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance. On the Flows Platform team, we focus on the core of Klaviyo’s automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features. We are responsible for: • Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently., • Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day., • 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing., • Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks)., • Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state., • Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB)., • A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing)., • Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems., • Experience using AI coding tools like Claude Code or Cursor to accelerate development. Nice to Have, • Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka., • Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes)., • Experience creating technical designs for complex features or system migrations., • Background in building platforms that support other engineering teams., • Experience building cloud-native solutions, ideally on AWS We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$116,000—$174,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. This posting is for an immediate new hire to our team. For those graduating in the fall of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities job posting instead to be considered for roles opening at that time. Thank you.RESPONSIBILITIES: • Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations., • Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency., • Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions., • Contribute to the team’s codebase with high-quality, testable, and well-documented code., • Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems., • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement., • Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence.QUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience., • 2+ years of experience in backend software development with a strong foundation in computer science principles, • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., • Experience building and maintaining APIs, integrations, and distributed systems., • Comfortable working with relational databases, data modeling, and query optimization., • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems., • Excellent communication skills and ability to work cross-functionally with technical and non-technical teams, • Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment, • A growth mindset and eagerness to learn from feedback and new challenges., • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job DescriptionAbout You: You are a senior DevOps engineer with a track record of designing and owning infrastructure at scale. You don't just improve existing systems — you identify what's missing, architect the solution, and see it through to production. You're equally comfortable writing Terraform modules, debugging a flaky CI pipeline, and leading a cross-team initiative to improve deployment reliability. You've worked in environments where the stakes are high and the systems are complex. You understand that in regulated or safety-critical domains, how you ship software matters as much as what you ship. You can take ownership of a problem end-to-end and deliver without needing a playbook handed to you. You want to work on something more interesting than a typical SaaS platform — at Merlin, the infrastructure you build supports software that flies real aircraft. And unlike most senior DevOps roles, there is no on-call rotation — nights and weekends are yoursResponsibilities: • Infrastructure Architecture — Own the design and evolution of Merlin's cloud and on-premises infrastructure across AWS and Azure. Make architectural decisions that balance cost, reliability, security, and compliance., • Infrastructure as Code — Lead Terraform-based IaC initiatives across the organization. Establish standards, review infrastructure changes, and drive the team toward fully code-managed environments., • CI/CD Platform Ownership — Set the technical direction for CI/CD pipelines across multiple interdependent systems using GitHub Actions. Drive reliability, performance, and maintainability improvements at the platform level., • Security & Compliance — Own DevSecOps tooling — security scanning (SAST, SCA, container scanning), SBOM generation, and artifact integrity. Ensure pipelines meet contractual and regulatory obligations including export control and CDRL requirements., • Cloud Environment Management — Manage cloud infrastructure across commercial and government-aligned environments, including Azure GCC High or equivalent FedRAMP/DoD-compliant platforms., • Deployment Automation — Design and improve deployment pipelines to test systems, bench hardware, and flight test aircraft using Docker, Debian packaging, Ansible, and JFrog Artifactory., • Cross-Team Collaboration — Partner with flight software engineers, systems engineers, IT, and leadership to ensure infrastructure supports program priorities. Communicate clearly and document your work to drive adoption across teams.Qualifications: 3–5 years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or a related role * Deep expertise with Infrastructure as Code — Terraform required; CloudFormation or Pulumi also acceptable * Strong hands-on experience with AWS and Microsoft Azure — AWS is our primary cloud for engineering infrastructure; both platforms are active parts of the role * Strong experience with CI/CD platforms — GitHub Actions preferred; Jenkins, GitLab CI, or CircleCI also acceptable * Solid experience with Linux system administration (Ubuntu preferred) * Proficiency with Docker for building, publishing, and deploying container images * Strong scripting skills in Python and Bash * Experience with security and compliance tooling — SAST, SCA, SBOM generation, container scanning, or artifact signing * Experience with configuration management tools — Ansible preferred; Chef, Puppet, or similar also acceptable — including managing software and configuration state across physical systems and embedded hardware targets (e.g., bench hardware, flight test aircraft), not just cloud or server infrastructure * Familiarity with artifact repositories — JFrog Artifactory, Nexus, or similar package/container registries * Strong problem-solving skills, attention to detail, and ability to work independently with minimal direction * Excellent communication and documentation skills Nice to Have: • Experience with government-aligned cloud environments — Azure Government, GCC High, or equivalent FedRAMP/DoD-compliant platforms, • Experience working in GCC High (Microsoft Azure Government Community Cloud) or other FedRAMP/DoD-compliant cloud environments, • Experience with Debian packaging (dpkg, dch, Launchpad PPAs, or S3-hosted APT repos), • Experience with software products that include a physical systems component — aircraft, robotics, medical devices, autonomous vehicles, or similar, • Familiarity with distributed pub/sub frameworks (e.g., ROS2) and underlying middleware such as DDS and Zenoh, • Knowledge of networking fundamentals and network security best practices, • Experience working in a regulated environment (aerospace, automotive, medical, defense) where traceability and process compliance matter, • Familiarity with SITL (Software-in-the-Loop) or HIL (Hardware-in-the-Loop) simulation infrastructure, • Familiarity with dev containers and containerized development environments, • Familiarity with orchestration techniques for automated regression and simulation-level integration testing (e.g., ReSim or similar frameworks)

Job Description Job Title: AWS Engineer Job Type: Contractor Location: Remote Job Summary: Join our pool of expert AWS Engineers and be at the forefront of impactful future projects with our customer's team. We are seeking professionals who are passionate about AWS cloud technologies, automation, and secure, scalable infrastructure. This is an excellent opportunity for experienced engineers eager to collaborate on innovative solutions and be considered for upcoming opportunities. Key Responsibilities: • Design, deploy, and manage AWS infrastructure using EC2, S3, RDS, and other core services., • Implement and maintain identity, access management, and network configurations (IAM, VPC)., • Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or CloudFormation)., • Monitor system performance and troubleshoot issues utilizing AWS CloudWatch and related tools., • Develop and maintain scripts in Bash and Python to streamline operational tasks., • Ensure robust security practices and compliance across all cloud operations., • Proven expertise with AWS core services: EC2, S3, IAM, VPC, RDS, and CloudWatch., • Solid foundation in Linux administration and shell scripting (Bash)., • Experience developing automation with Python., • Deep understanding of network basics and cloud security best practices., • Hands-on with Infrastructure as Code tools such as Terraform or CloudFormation., • Skilled in troubleshooting, monitoring, and optimizing cloud environments., • AWS Certified Solutions Architect or similar certifications., • Experience working in a customer-facing or consulting capacity., • Background in designing highly available, fault-tolerant systems in AWS environments.

Job Description At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Software Engineer (Backend, Health Records) to build the foundational systems that enable secure, scalable ingestion and utilization of health data. In this role, you will shape the infrastructure that connects external healthcare ecosystems with WHOOP’s platform, transforming complex health records into meaningful, actionable insights. Your work will directly power personalized health experiences and expand WHOOP’s ability to deliver long-term value to members. RESPONSIBILITIES: ● Lead the design and development of backend systems for ingesting and processing health record data from external sources (e.g., EHRs, third-party health platforms) ● Architect and implement robust data pipelines to clean, normalize, and structure health record data for reliable downstream consumption ● Design and maintain secure, scalable APIs and services that expose health record data to internal systems and member-facing features ● Define and enforce access control mechanisms and data governance standards to ensure privacy, security, and compliance with healthcare regulations ● Drive technical decision-making and system architecture to support scalability, reliability, and extensibility of health record systems ● Collaborate cross-functionally with product, data science, and engineering teams to unlock new health insights and capabilities ● Mentor other engineers and contribute to raising the technical bar across the team QUALIFICATIONS: * 5+ years of experience building and operating backend systems and APIs in production environments * Experience working with healthcare data standards (e.g., FHIR) and integrating with external health data sources * Strong understanding of data privacy, security, and access control models, particularly for sensitive health data * Experience designing scalable data pipelines for ingestion, transformation, and validation of complex datasets * Proficiency in backend technologies such as Java (or similar), relational databases (e.g., Postgres), and cloud infrastructure (e.g., AWS) * Experience with distributed systems and designing for high availability and reliability * Demonstrated ability to lead technical initiatives and influence system architecture * Strong cross-functional communication skills and ability to operate effectively in a fast-paced environment * Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description Job Title Principal Software Engineer - Python AI Pipelines Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing. ● Deploy and manage containerized services using Docker. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Work with cloud services and distributed architectures to ensure high availability. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems ● Experience with Machine Learning Tools and Frameworks ● Expertise in building scalable APIs (REST, GraphQL, gRPC). ● Hands-on experience with Docker and containerized application development. Great to Have ● Strong experience with workflow orchestration, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery). ● Familiarity with PromptFlow or similar workflow automation tools. ● Experience working with cloud-based distributed systems (AWS, GCP, Azure).

Job DescriptionAt WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Software Engineer to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.RESPONSIBILITIES: • Architect, develop, and maintain backend services and APIs that power business-critical systems and integrations., • Lead the design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency., • Partner with stakeholders across the business to deeply understand needs and translate them into technical solutions., • Drive technical excellence through code reviews, best practices, and mentorship of other engineers., • Ensure reliability, performance, and security across backend systems, with a focus on scalability as WHOOP grows., • Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.QUALIFICATIONS:, • BS in Computer Science, Engineering, or equivalent experience., • 5+ years of professional backend software engineering experience., • Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., • Experience designing and maintaining APIs, integrations, and middleware., • Solid understanding of relational databases, data modeling, and query optimization., • Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems., • Proven ability to collaborate cross-functionally and deliver solutions that balance business and technical needs., • Experience mentoring engineers and contributing to a culture of learning and growth., • Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) is seeking a forward‑thinking Cloud Security leader with a strong grounding in AI Security to join our Boston-based team. This role offers a unique opportunity to define and advance our cloud security strategy across modern, mission‑critical platforms, operating at the intersection of technology, risk, and business impact. As a core member of our cybersecurity leadership team reporting directly to the CISO, you will drive the evolution of our cloud and AI security ecosystems—establishing governance, controls, and compliance across our cloud infrastructure while helping secure our growing Artificial Intelligence footprint. If you are passionate about shaping the future of cloud security and influencing how secure systems and services are built and governed, we’d welcome the conversation. Duties & Responsibilities: • Cloud Security /AI Security Strategy & Governance:, • Develop and maintain the organization’s cloud security and AI security strategy, standards, and policies across IaaS, PaaS, and SaaS environments., • Define and enforce cloud architecture security principles aligned with Zero Trust., • Identify and enforce AI security controls and configurations aligned with our cloud architecture, • Lead cloud and AI risk assessments, gap analysis, and initiative planning., • Guide migration and modernization efforts to ensure secure-by-design implementations., • Operational Security & Threat Management:, • Oversee the configuration, monitoring, and continuous improvement of:, • CSPM (Cloud Security Posture Management), • CWPP/CNAPP (Cloud Workload Protection / Cloud-Native Security), • SIEM/SOAR integrations for cloud telemetry, • Identity threat detection (ITDR), • Direct incident response for cloud-related security events in collaboration with SOC/IR teams., • Ensure continuous monitoring for misconfigurations, vulnerabilities, and anomalies., • Identity, Access, and Data Protection, • Support cloud & AI IAM frameworks (least privilege, conditional access, workload identities)., • Drive cloud-related adoption of encryption, secrets management, and key management (BYOK/CMK)., • Ensure efficacy of data classification and DLP controls across cloud environments., • DevSecOps & Engineering Partnership, • Embed security controls and testing into CI/CD pipelines in collaboration with AppSec., • Oversee IaC scanning and container security while supporting SAST/DAST and supply chain security., • Collaborate with engineering to remediate findings and architect secure workloads., • Compliance & Risk Management, • Ensure cloud environments meet regulatory and compliance requirements., • Own cloud security and AI security audits and evidence collection., • Mature asset inventories, risk registers, and control documentation., • Leadership & Stakeholder Management, • Build and mentor a team of cloud security & AI security engineers/analysts., • Provide regular reporting to security leadership and executives., • Partner across technology, infrastructure, DevOps, and architecture. Qualifications, Skills and Experience: • 5–10+ years of experience in cybersecurity, with a focus on cloud security., • Hands-on experience with AWS, Azure, or GCP security services., • Strong knowledge of:, • Cloud IAM and identity governance, • Network security (VPCs/VNets, firewalls, segmentation), • Cloud-native monitoring, threat detection, and logging, • Infrastructure-as-Code (Terraform, CloudFormation, Bicep), • Experience with CSPM, CWPP/CNAPP, SIEM, SOAR, and vulnerability management tools., • Knowledge of compliance frameworks and cloud shared responsibility models. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates, • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders, • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework, • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Boston is $150,000.00 to $220,000.00, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization