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Our Sales SA positions will require 25-35% travel to conferences, partner offices, and customer sites. This role will support opportunities on the East coast. At RapidScale, exceptional technology is powered by exceptional people. We deliver secure, reliable managed and advisory services across private, public, and hybrid clouds, helping organizations innovate, adapt, and grow. As an Elite Broadcom VMware VCSP Partner and top partner with AWS, Azure, and Google, our solutions focus on business outcomes with embedded cyber resiliency and AI to protect today and enable tomorrow backed by the strength of the Cox family of companies. What does the Sales Solutions Architecture Team do? Sales Solution Architects work in partnership with Solutions Specialists (Sales Representatives) and serve as their technical counterparts in all phases of the sales lifecycle. From evangelizing technologies to demonstrating our feature-rich Cloud Reliability Platform, our job is to help customers figure out and solve their cloud initiatives. We do this by taking a consultative approach in our discovery and assessment phases with the output being solutions that are built with reliability, performance, and security baked-in on top of our Managed Cloud Portfolio. As an integral part of the Solutions Architecture team, you will design systems that are purpose-built and well suited to their target infrastructure. What You'll Do: As a Solution Architect you will: • Provide Pre-Sales technical support to the GTM Team to drive revenue and cloud adoption, • Conduct full technical discovery and assessment workshops to identify pain points and gather business and technical requirements. This will include Well-Architected Reviews, Migration Readiness Assessments, Total Cost of Ownership (TCO) analysis, etc., • You will architect client solutions to meet client requirements using a well architected framework methodology, • Clearly communicate proposed architectures in the pre-sales cycle for early validation and verification to the internal teams responsible for implementing and providing ongoing support, • Be a technology evangelist and educate prospects and customers on the cloud solution that makes the most sense for their business and technology requirements, • Interface with Product Marketing and provide feedback for improving product quality and capabilities by leveraging information gathered in field engagements, • Collaborate in the creation of technical collateral (e.g. SOWs, HLDs), and help develop sales staff by providing formal training, • Produce cost and labor estimates and SOWs for potential projects, • Provide thought leadership by speaking at industry events such as trade shows, panels or marketing events as well as publishing blog posts, white papers and participating in case studies What Technical Attributes We're Looking for In You: • Relevant Industry-leading certification required: AZ-305 (Azure Solutions Architect - Expert), • Deep understanding of the following Public Cloud Platforms: Microsoft Azure, AWS, • Understanding of containerization & virtualization technologies; e.g Kubernetes, Docker, • Understanding of IAAS / PAAS / SAAS platforms; e.g. EC2, VMs, etc., • Understanding IaC tools; e.g. Puppet, Ansible, ARM/Bicep, Terraform, • Understanding of different Disaster Recovery and data protection principles, • Understanding of PCI, HIPAA, GDPR regulatory compliance frameworks, • Understanding of Relational and Non-Relational Databases (MySQL, Oracle, MS SQL Server, NoSQL), • Expertise in networking, compute, storage and OS fundamentals What General Attributes We're Looking for In You: Ideal candidate must be enthusiastic, a self-starter, and willing to step up to new challenges. Must be comfortable in the dynamic atmosphere of a technical organization with a rapidly expanding customer base. Minimum Qualifications: • A BA/BS Degree with 6+ years of experience, or a MS Degree with 4+ years of experience, or a Ph.D with one year of experience, or 10 years of overall experience without a degree, • Professional Level Public Cloud Certification (AWS, Azure, Google), • Background and experience working in the context of a sales team, • Strong presentation, written and verbal communication skills, • Strong analytical problem-solving ability, • High level of comfort communicating effectively across internal organizations, • Ability to speak at public events in front of large audiences is a bonus, • Fluency in English USD 155,200.00 - 232,800.00 Compensation: Compensation includes a base salary in the range of $155,200.00 - $232,800.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $52,800.00. 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

Senior Distinguished Engineer, AI Compute (Remote Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns. * At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications • Degree in Computer Science or a Master’s Degree in Software Engineering, • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management), • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference, • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

ROLE SUMMARY The Senior Infrastructure Architect is responsible for designing and implementing enterprise‑class infrastructure solutions that support organizational objectives. The role focuses on defining technology standards, leading integration and migration efforts, optimizing performance, and ensuring alignment with security, compliance, and architectural best practices. This position requires deep technical expertise across cloud and on‑premises systems, strong strategic planning capabilities, and the ability to guide complex infrastructure programs from concept through execution. ROLE RESPONSIBILITIES Lead infrastructure integration activities across user experience, collaboration platforms, data center/cloud architecture, directory services, and Office 365 environments.Collaborate with enterprise architecture to design and publish standards, blueprints, patterns, principles, best practices, and technical guidelines.Define strategic direction for public cloud, directory services, collaboration services, network, storage, server platforms, databases, and security technologies.Promote the use of shared systems and tools to reduce costs and enable cross‑team collaboration.Ensure solutions do not duplicate existing capabilities and remain aligned with IT and business strategies.Serve as a level‑4 escalation point for operational teams, providing problem resolution and root‑cause analysis.Plan lifecycle and refresh cycles to ensure solutions align with the broader application, desktop, network, server, and storage ecosystem.Develop and maintain a long‑term infrastructure technology vision, assessing current capabilities and future needs.Ensure installations and upgrades follow all policies, procedures, and licensing requirements.Identify, implement, and monitor best practices for infrastructure architecture.Review software requirements and design solutions for high availability and disaster recovery. TECHNICAL QUALIFICATIONS Minimum 12 years of IT infrastructure experience, including at least 5 years working as an infrastructure architect.Ability to lead Infrastructure and DevOps teams in delivering enterprise‑grade solutions.Expert knowledge of Windows Server, enterprise networking, public cloud IaaS/PaaS, Microsoft Exchange/Office 365, Active Directory/Entra ID, SQL Server, virtualization platforms, and enterprise SAN storage.Cloud certifications in Azure or AWS at the architecture level. GENERAL QUALIFICATIONS Strong understanding of enterprise application infrastructure and experience designing enterprise‑class architecture.Excellent written and verbal communication skills.Ability to present architectural recommendations to C‑level executives.Experience leading complex infrastructure projects.Experience supporting merger and acquisition infrastructure planning.Strong analytical skills and ability to understand the broader technology landscape.High curiosity and interest in emerging technologies.Strong negotiation and influencing skills.Experience in IT consulting preferred.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant’s compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee’s start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit . A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time. #IDS

Warby Parker is seeking a Staff Software Engineer to lead the development of our search, recommendations, and personalization platform. You'll architect and build the systems that help millions of customers discover their perfect eyewear, working at the intersection of large-scale data processing, machine learning, and distributed systems. Reporting to the Senior Director of Engineering, you'll collaborate with Product Managers, Data Scientists, and cross-functional teams to design and deliver high-performance backend services that power product discovery across our retail and e-commerce channels. Your work will directly impact how customers find and engage with our products, requiring both technical excellence and strategic thinking to balance user experience, business objectives, and system scalability. What you'll do: • Be the technical leader of teams designing and developing world-class backend applications that power our business, • Promote the adoption of new technologies that advance and evolve our product, • Tackle challenges of scale though solid engineering practices and creative problem solving, • Ensure your products are resilient and meet well-defined service level agreements with client stakeholders, • Lead code reviews and help maintain high standards of code quality, • Exceed quality expectations through a strong test-minded approach at every step of the SDLC, • You have a degree in Computer Science or related field, or equivalent work experience with 7+ years in professional software development, • Has demonstrated experience building and scaling search, recommendation, and personalization systems in production environments, • An expert in high-level languages such as Golang, Python, or C# with deep understanding of their ecosystems and best practices, • Has a mastery of domain modeling, system design, and data architecture patterns relevant to information retrieval and machine learning systems, • Proficient in cloud technologies (particularly AWS), distributed systems, and service-oriented architectures with focus on high-availability and low-latency services, • Understand the full stack of modern recommendation systems including data pipelines, feature engineering, model serving, and A/B testing frameworks, • Well-versed in agile work processes and comfortable breaking down complex search and ML initiatives to deliver value incrementally, • A clear, concise communicator who can translate technical concepts for cross-functional stakeholders and influence architectural decisions, • Possesses a strong belief in accountability and holds engineering teams to high standards around code quality, testing, observability, and performance, • Demonstrated ability to deliver complex software projects with a high level of autonomy while mentoring others, • Experience with AWS cloud infrastructure, particularly services like OpenSearch/Elasticsearch, SageMaker, Personalize, or Bedrock, • Background in machine learning engineering, including model training, evaluation, and deployment pipelines, • Experience with vector databases and semantic search technologies For applicable postings, the range listed is a good faith estimate of the compensation for this position at the time of posting. Final compensation is thoughtfully determined by a variety of factors, including the candidate's qualifications, experience, internal equity, and relevant market data. For applicable postings, non-exempt employees are eligible for overtime pay if you are required to work more than 40 hours in a workweek. Some benefits of working at Warby Parker for full-time employees: • Health, vision, and dental insurance, • Life and AD&D Insurance, • Paid sick leave1, • Paid Holidays1, • Vacation days per year1, • Retirement savings plan (401(k)), • Parental leave (non-birthing parents included), • Short-term disability, • Employee Stock Purchase Plan, • Employee Assistance Program (EAP), • Bereavement Support, • Optical Education Reimbursement, • Free eyewear, • Employee Assistance Program (EAP), • Employee Stock Purchase Plan, • Free eyewear, • Paid sick leave2 If you are a California resident, please review the additional privacy disclosures available in Section 8 of our Privacy Policy, which provides a summary of how we collect, use, disclose, and share personal information about you and explain your rights under the California Privacy Rights Act ("CPRA"). 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. CO only: The application window for this position is anticipated to close on the apply before date listed. We encourage interested candidates to apply through our Career website. 1 WA only: Full-Time employees' paid sick leave is accrued at a rate of 1 hour per every 26 hours worked. Full-time employees receive 5 paid holidays and 5-10 vacation days per year (after waiting period, depending on tenure and hours worked). 2 WA PT only: Paid sick leave (accrued at a rate of 1 hour per every 30 hours worked). About Us: Warby Parker was founded with a mission: to inspire and impact the world with vision, purpose, and style. We're constantly asking ourselves how we can do more and make a greater impact, and that starts by reimagining everything that a company and industry can be. We want to demonstrate that a business can scale while doing good in the world, without charging a premium for it. And we've learned that it takes creativity, empathy, and innovation to achieve that goal. Since the day we launched in 2010, we've pioneered ideas, designed products, and developed technologies that help people see. We offer everything you need for happier eyes at a price that leaves you with money in your pocket, from designer-quality glasses and contacts to eye exams and vision tests, and you can meet us online, at our stores, or even in your home. Wherever and whenever you need it, we're there to make exceptional vision care simple and accessible. (Delightful, too.) Ultimately, we believe in vision for all, which is why for every pair of glasses or sunglasses we sell, a pair of glasses is distributed to someone in need through our Buy a Pair, Give a Pair program.

Role: Senior Application Security Architect Location: Rockville, MD or Tysons Corner, VA or Woodbridge, NJ or Jersey City, NJ (3 days onsite & 2 days remote per week) Job Description: Senior Application Security Architect The Senior Application Security Architect is responsible for designing, implementing, and overseeing enterprise-wide application security architecture and standards. This role focuses on establishing security frameworks, conducting architecture reviews, developing security baselines, and leading strategic security initiatives that have broad impact across the organization. The position requires a blend of technical expertise, architectural thinking, and leadership to embed security throughout the software development lifecycle. We are looking for a versatile resource who can handle multiple tasks at the same time and have great attitude. Job Responsibilities: • Design and establish enterprise application security architecture frameworks and reference models aligned with business objectives and risk tolerance, • Lead architecture reviews of applications and systems to identify security gaps and recommend appropriate controls, • Develop and maintain security baselines, standards, and patterns for different technology stacks (web, mobile, API, microservices) and deployment models, • Create and evolve threat modeling methodologies (STRIDE, PASTA, OCTAVE) and facilitate threat modeling sessions with development teams, • Define secure coding standards and security requirements for different application types based on data classification and risk profile, • Architect security solutions for authentication, authorization, encryption, and secure communication channels, • Establish security guardrails for cloud-native applications, serverless architectures, and infrastructure-as-code implementations, • Design and implement API security strategies including OAuth/OIDC flows, API gateways, and rate limiting, • Integrate security architecture principles into CI/CD pipelines to support DevSecOps initiatives, • Evaluate and recommend security tools and technologies for the enterprise security tech stack, • Develop security architecture roadmaps and guide implementation of security capabilities, • Partner with development teams to design secure solutions that balance security requirements with business needs, • Lead strategic security initiatives with enterprise-wide impact, • Leverage GenAI technologies to enhance security architecture reviews and automate security analysis, • Maintain documentation of security architecture decisions, patterns, and reference implementations, • Develop and deliver security architecture training to raise security awareness among developers and architects, • Stay current with emerging security threats, technologies, and architectural approaches, • Perform security design reviews for new applications and major changes to existing applications, • Architect secure data handling practices including encryption at rest and in transit Qualifications: • Bachelor's degree in Computer Science, Information Security, or related technical field required, • 5+ years of experience in application security, with at least 2 years in security architecture roles, • Deep knowledge of secure design principles, threat modeling methodologies, and security patterns, • Experience designing security controls for cloud environments (AWS, Azure, GCP), • Proficiency in evaluating and implementing application security tools (SAST, DAST, IAST, SCA), • Hands-on experience with security testing tools such as Burp Suite, OWASP ZAP, and other proxy tools, • Experience with secure software development practices and DevSecOps implementation, • Strong understanding of OWASP Top 10, SANS CWE, and other security standards, • Knowledge of secure authentication mechanisms (MFA, SSO, OAuth 2.0, SAML, OIDC), • Experience with secure API design and implementation of API security controls, • Knowledge of regulatory requirements (PCI-DSS, GDPR, SOX, etc.) and their architectural implications, • Experience with containerization, microservices, and API security, • Proficiency in one or more programming languages (Java, Python, JavaScript preferred), • Experience with secure code review techniques and identifying common vulnerability patterns, • Knowledge of cryptographic protocols and implementations, • Experience with security requirements for modern application architectures (SPA, serverless, etc.), • Excellent communication skills with ability to translate complex security concepts to technical and non-technical audiences, • Experience leading cross-functional security initiatives and influencing stakeholders Certifications such as CSSLP, CISSP, AWS Security Specialty are highly desirable

Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts, • Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 5+ years of software engineering experience with 2+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components., • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world's most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI. • Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery., • Design and implement scheduling primitives to optimize the lifecycle of training jobs., • Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures, • Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability., • Work closely with Finance and Procurement teams to drive our capacity planning process., • Participate in our team's on call process to ensure the availability of our services., • Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment., • 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes)., • Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++), • Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling., • Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling., • Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput, • Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments., • Experience with distributed training techniques such as DeepSpeed, FSDP, etc., • Experience with the NVIDIA software and hardware stack (CUDA, NCCL), • Experience with PyTorch About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

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.

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you'll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers., • Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement., • Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers., • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection., • Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs., • Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale., • Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies., • Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response., • Proven experience in a senior role, with 5+ years of full-time software engineering experience., • Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana)., • Extensive experience with at least one major cloud provider (AWS, Azure, or GCP)., • Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups., • Proficiency in Python or JavaScript/TypeScript, and SQL. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and About the team Join our team as a Platform Engineer focused on network architecture and site reliability. In this role, you will own the design and implementation of our cloud network architecture, ensuring our platform is resilient, secure, and scales effectively across multiple AWS accounts, environments, and regions. You'll architect solutions for complex networking challenges like hierarchical CIDR allocation across accounts and integrations, implement disaster recovery and regional redundancy strategies, and establish the reliability practices that keep our healthcare platform running. Working closely with leadership and cross-functional teams, you'll build the foundational infrastructure that supports our rapidly growing platform while ensuring we can handle failures gracefully and recover quickly. Position Responsibilities: In this role, you'll own critical infrastructure that ensures platform reliability and scalability. You will: • Design network architecture: Architect and implement hierarchical CIDR allocation strategies across multiple AWS accounts, environments, and external integrations, ensuring proper subnet organization and IP address management., • Build multi-region capabilities: Design and implement regional redundancy and multi-region failover strategies to support disaster recovery requirements and improve platform availability., • Manage cloud networking: Own VPC design, subnets, routing tables, security groups, NACLs, VPC peering, Transit Gateway, and other AWS networking components across our infrastructure., • Implement disaster recovery: Establish and regularly test disaster recovery procedures, backup strategies, and failover mechanisms to ensure business continuity., • Evaluate multi-cloud solutions: Assess and prototype solutions across AWS, Azure, GCP, and Oracle Cloud to determine optimal approaches for specific use cases and integrations., • Monitor platform health: Define and implement platform health indicators, SLIs, SLOs, and monitoring that provide early warning of infrastructure issues and track reliability improvements., • Ensure security and compliance: Work with security teams to implement network security best practices, maintain compliance requirements (HIPAA, SOC2, FedRAMP), and conduct security reviews., • Drive infrastructure reliability: Participate in on-call rotations, lead incident response for infrastructure issues, conduct postmortems, and implement improvements to prevent recurrence., • Automate infrastructure management: Build infrastructure-as-code using Terraform to manage network resources, implement self-service capabilities, and ensure consistency across environments. Requirements: • 5+ years of infrastructure engineering, DevOps, or site reliability engineering experience., • Experience leading projects or teams: Demonstrated ability to lead technical initiatives, drive architectural decisions, or mentor other engineers., • Extensive AWS expertise: Deep production experience with VPC, subnets, routing, security groups, Transit Gateway, Direct Connect, Route 53, and other AWS networking services., • Network architecture experience: Proven track record designing and implementing complex network architectures including CIDR planning, subnet design, and multi-account strategies., • Disaster recovery expertise: Experience designing and testing disaster recovery procedures, backup strategies, and multi-region failover capabilities., • Infrastructure as code: Strong experience with Terraform for managing cloud infrastructure at scale., • Site reliability practices: Understanding of SLIs, SLOs, error budgets, incident management, and reliability engineering principles., • Strong development skills: Proficiency in Python or similar languages for automation and tooling., • Security mindset: Understanding of network security principles, encryption, IAM, and compliance requirements in regulated industries. Preferred Qualifications: • Multi-cloud experience: Hands-on experience with Azure, GCP, or Oracle Cloud networking and cross-cloud connectivity., • Rust development experience or interest in learning Rust for infrastructure tooling., • Advanced AWS certifications: AWS Solutions Architect Professional, AWS Advanced Networking, or similar certifications., • Container networking: Experience with ECS, EKS, or Kubernetes networking, service mesh, and load balancing., • Database networking: Understanding of database replication, Aurora Global Databases, and cross-region data synchronization., • CDN and edge networking: Experience with CloudFront, edge locations, and content delivery optimization., • Cost optimization: Track record of reducing infrastructure costs while maintaining or improving reliability., • Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$130,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our core infrastructure in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail. What You'll Do: • Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers, • Implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Collaborate with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs., • Deliver experiments at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • 4+ years of full-time engineering experience, post-graduation, • Experience scaling products at hyper growth startups, • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies, • Proficient in Python or Javascript/Typescript, and SQL, • Experience with Kubernetes, • Experience with major cloud providers (AWS, Azure, GCP) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructureto join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: • Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure., • Own services or systems and define their long-term health goals, while also improving the health of surrounding components, • Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product., • You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus., • Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment., • Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment., • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering., • Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$184,000—$259,440 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$165,600—$233,496 USDThe base salary range for this full-time position in the location of St. Louis is:$138,000—$194,580 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. • Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements, • Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs), • Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows, • Deploy and configure AI models and agents within customer security and compliance boundaries, • Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation, • Architect multi-agent systems that orchestrate between different models, tools, and data sources, • Implement evaluation frameworks to measure agent performance and iterate toward business objectives, • Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement, • Create sophisticated prompt engineering strategies optimized for customer-specific domains and data, • Build and maintain prompt libraries, templates, and best practices for customer use cases, • Conduct systematic prompt experimentation and A/B testing to improve model outputs, • Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate, • Serve as the primary technical point of contact for strategic enterprise accounts, • Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration, • Provide technical training and knowledge transfer to customer teams, • Work closely with Scale's product and engineering teams to translate customer needs into product improvements, • Document technical architectures, integration patterns, and best practices, • Debug complex technical issues across the entire stack, from data pipelines to model outputs, • Rapidly prototype solutions to unblock customers and prove out new use cases, • Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems, • Identify opportunities for productization based on common customer patterns, • 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design, • Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API), • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure, • Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions, • Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures, • Experience building and deploying AI agents or autonomous systems in production, • Knowledge of vector databases and semantic search systems, • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines, • Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools, • Previous work in a devops, platform, or infra role, • Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role, • Domain expertise in verticals like finance, healthcare, government, or manufacturing For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly. Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn. We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,000—$270,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary Join our mission to transform pharmacy benefits. In this development role, you will lead large, high-impact projects, working closely with product managers, designers, and clients to gather both business and technical requirements with a product mindset. You will be at the forefront of technical solutioning, driving enterprise API integrations, data migrations, data exchange, and prioritizing security. This role involves extensive client interactions, API development, and ensuring scalability. You will collaborate cross-functionally across internal teams and various departments within our client organizations to accelerate program technical deliveries. This is an exciting opportunity to redefine the pharmacy benefits landscape through collaboration and cutting-edge cloud technology. WhyYou'llLove Working Here • Opportunity to lead high-impact, client-facing initiatives that directly influence key business metrics., • Hands-on exposure to architecture, system design, and solving complex scalability challenges in real-world environments., • Be a catalyst in accelerating client migration and new client onboarding with direct visibility into outcomes., • Work on a team that values quick, elegant solutions to complex problems where your contributions shape the future of pharmacy benefits., • Lead the development and deployment of cutting-edge solutions from design to production., • Collaborate with product managers and cross-functional teams to refine and implement requirements, ensuring seamless integration and user experience., • Engage with major clients and cross-functional teams to architect innovative solutions and enhance product functionality., • Establish and maintain consistent, enterprise-grade APIs across services, ensuring interoperability and scalability while employing best practices for interactions with both partner and internal systems., • Build robust backend applications in Python on AWS Lambda, API Gateway, SMS, ECS, and other cloud technologies., • Implement backend code in a serverless, cloud-native environment (Flask/AWS Lambda/ECS)., • Design and implement scalable systems capable of handling high-volume transactions, ensuring robustness and reliability., • Ensure security best practices are followed in all aspects of development and deployment., • Conduct code reviews to maintain high code quality and standards., • Demonstrate technical leadership, driving timely execution and high-quality software delivery., • Make informed architectural decisions through careful evaluation and leveraging prior experience., • Self-manage tasks, collaborate effectively with both internal and external teams, and drive projects to successful completion., • 7+ years of related job experience with a broad range of technical skills., • Desire to work in a health technology company; previous Pharmacy Benefits Manager (PBM) experience is a plus., • Strong experience in Python (Flask/SQLAlchemy) and TypeScript (React)., • Advanced PostgreSQL database knowledge, including common table expressions, windowing functions, views, stored procedures, and indexing techniques (full-text or geospatial)., • Experience working with microservices, an API-based application paradigm, and distributed caching techniques., • Proven ability to deliver complex web applications to the cloud, targeting infrastructure as code with a security mindset (AWS, Terraform)., • Demonstrated ability to improve scalability and observability of systems., • Proficiency in Linux using Bash, Zsh, Python, Node.js and similar tools., • Experience with Git code management, preferably in a mono repository., • Strong knowledge of unit testing across multiple paradigms and integration testing using frameworks like Playwright., • Excellent verbal and written communication skills, enabling effective collaboration in a remote environment and with major clients' technical and non-technical teams, • Strong problem-solving skills and a proactive approach to identifying and addressing potential issues. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$150,000—$180,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

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)

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Hybrid (Local to NYC area) About the team The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx's Judi platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams. Position Summary: We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We're seeking a highly skilled and experiencedSenior Platform DeveloperIIto join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform. You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security. Position Responsibilities: • Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure, • Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform, • Write clean, efficient, and well-tested Python code for automation, tooling and service development., • Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity., • Administer and finetune container orchestration platforms such EKS and ECS., • Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities., • Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices., • Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards., • Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability., • Participate in on-call rotations to provide operational support and incident response., • Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives., • Mentor junior developers and contribute to a culture of technical excellence and continuous improvement., • Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency., • Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows., • Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services., • 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer., • Deep expertise inAWSinfrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis, • Excellent proficiency withTerraform,Python,SQL, and automation tooling., • Extensive experience withDockerand container orchestration (Kubernetes/EKS)., • Solid understanding and hands-on experience with SQL, database administration (PostgreSQLpreferred), and performance tuning, • Experience withCI/CDsystems (e.g., GoCD, GitHub Actions, Harness)., • Proven experience in automatingObservability & Monitoring (Grafana, Kibana, Prometheus),standardizing incident response for alerts to maintain SLAs and SLOs, • Hands-on experience in environments compliant withFISMA,SOC 2, and/orFedRAMP., • Background in buildinghighly scalable, performant SaaSplatforms., • Excellent communication, collaboration and problem-solving skills., • Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters., • Strong experience inproduction on callrotations and responding to alerts. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$160,000—$200,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: Join our Scalability team as a Senior Scalability Engineer focused on streaming andrealtimesystems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, andrealtimeevent processing. Your work will handle systems processing hundreds of thousands to millions of records per batch whilemaintainingstrict ordering guarantees andexactly-oncesemantics. Working closely with our clients and cross-functional teams,you'llbuild foundational streaming infrastructure while partnering directly with product teams to implementrealtimecapabilities that power critical business workflows. Position Responsibilities: In this role,you'llprovide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: • Own streaminginfrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records whilemaintainingstrict ordering and delivery guarantees., • Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization., • Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability., • Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support., • Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines., • Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack., • Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning., • Make strong architectural choices through careful evaluation and prior experience with distributed systems., • 10+ years of software engineering experience withdemonstratedprogression into technical leadership roles., • 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure., • Strong expertise in Python (Flask/SQLAlchemy) for production applications., • Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms., • Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms., • Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns., • AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration., • Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases., • Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability., • Rust development experience or strong interest in learning Rust for high-performance systems., • Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure., • Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms., • Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This range represents the low and high end of the anticipated base salary range. The actual base salary will depend on several factors such as: experience, knowledge, skills, and location of the job. Remote, US Salary Range$110,400—$213,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens. Teladoc Health Inc. seeks Senior Software Engineer (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017. Summary of Position Lead the design, development, and deployment of scalable software solutions for Teladoc's enterprise-level telehealth SaaS platform. (30%) Manage and mentor a team of software engineers, ensuring efficient project execution and timely delivery of features. (15%) Architect and implement microservices using PHP/Symfony, including specialized solutions like patient matching algorithms. (20%) Oversee containerized application management in Kubernetes across multi-cloud environments (AWS and Azure). (10%) Provide technical direction for core platform components and ensure adherence to engineering best practices. (15%) Drive the adoption of emerging technologies and contribute to company-wide standards in microservices architecture, CI/CD, and cloud infrastructure. (10%). Telecommuting: 100% Telecommuting, Will supervise 3 Software Engineers. Required Qualifications This position requires a bachelor's degree or foreign equivalent in Electronic Engineering, Computer Science, Information Science or a related field plus 7 years of experience as a Software Engineer, Full Stack Developer, or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. Alternatively, the employer will accept a master's degree, or foreign equivalent, in Electronic Engineering, Computer Science, Information Science or a related field plus 5 years of experience as a Software Engineer, Full Stack Developer or occupation involving software deliverables through the full development lifecycle for SaaS platforms. Additionally, the applicant must have employment experience with: (1) Developing and maintaining SaaS platforms and deployments utilizing PHP, Symfony, PostgreSQL, React, Redux, TypeScript, and Node.js; (2) Designing and implementing custom role-based authorization (RBAC) systems and comprehensive document management capabilities (APIs and front-end) within large-scale telehealth applications; (3) Deploying, monitoring, and maintaining applications within Kubernetes environments using Docker, Helm, CI/CD pipelines, and observability tools (Elasticsearch, Kibana, Grafana, and Prometheus): (4) Developing and enhancing software solutions within the healthcare industry by building backend APIs and microservices using PHP/Symfony, Node/Express, and frontend UI components using React.js, integrated with database systems (PostgreSQL and SQL Server); and (5) Migrating Kubernetes-deployed applications and services between cloud platforms from AWS to Microsoft Azure, to support international market infrastructure. RATE OF PAY: $189,592.00 -$189,592.00 per year Applicants who are interested in this position should apply by emailing resume to ___. Reference Job Code: 9522990_2026 or via ___ and search for Senior Software Engineer. We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details. As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified. Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Why join Teladoc Health? * Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our ___. * Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference. * Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day. * Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways. * Enjoy an inclusive ___ centered around you and your family, with tailored programs that address your unique needs. * Explore ___ with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on ___. As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind. Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available ___.

DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX) This Jobot Job is hosted by: Alex Millan Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms. They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment. Why join us? Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale. Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows. Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency. Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment. Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities. Job Details Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership. Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization. Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks. Proven expertise in AWS and Azure cloud environments. Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps). Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates). Skilled in Python, Bash, or PowerShell for automation and deployment scripting. Familiarity with Docker, Kubernetes, and container orchestration in production environments. Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics. Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR). Preferred: Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert. Experience with MLOps, streaming data, and cloud cost optimization. Background in Agile/Scrum methodologies with tools like Jira or Asana. 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. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: As a SLED Sr. Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customer's business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo. What You Will Be Doing: • Serving as the technical point of contact for your accounts and account managers in your assigned territory., • Building a comprehensive understanding of customers' goals and objectives, and articulating how our offerings address their needs., • Creating and owning value-based relationships at all levels in customer organizations., • Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win., • Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences., • Advising the sales team on effective ways of positioning Elastic products, solutions and services., • Onboarding, educating and enabling our partners, and supporting them in sales cycles., • Crafting collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs., • Being the voice of the customer and community to communicate needs, gaps, and improvements to our engineering and leadership teams., • Deepening both your sales and technical skills through education while taking advantage of all the professional development opportunities provided by Elastic. What You Bring: • 6+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)., • Implementation experience with SaaS platforms using web technologies (TCP/IP, HTTP, HTML, JavaScript, RESTful APIs), particularly cloud-based, high-performance solutions., • A track record of success in a technical presales role-enough experience selling and implementing technology to earn your customer's trust., • A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies., • A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships., • A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors., • An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?, • The ability to inspire groups, both large and small., • A willingness to travel 40% within region, as well as occasionally internationally., • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field AND 3+ years of proven experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies., • Professional experience in architecting/operating solutions built on one or more cloud service providers like AWS, Azure, or GCP., • Experience with cloud solutions, virtual platforms, software development, and operational management practices., • US CITIZENSHIP REQUIRED Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary, • Health coverage for you and your family in many locations, • Ability to craft your calendar with flexible locations and schedules for many roles, • Generous number of vacation days each year, • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service, • Up to 40 hours each year to use toward volunteer projects you love, • Embracing parenthood with a minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email ___. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see ___ for our Privacy Statement. Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $107,500-$170,100 USD The typical starting Target Variable range for this role is: $46,000-$72,800 USD The typical starting On-Target Earnings (OTE) range for this role is: $153,500-$242,900 USD #LI-AM2

This job is with S&P Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Grade Level (for internal use): 14 The Information Architecture team is at the forefront of S&P Global's data transformation journey, driving enterprise-wide initiatives that shape how our organization leverages data as a strategic asset. We are a collaborative, innovation-focused team that values strategic thinking, technical excellence, and the ability to translate complex architectural concepts into business value that impacts millions of users worldwide. * Lead the development and execution of enterprise-wide information architecture strategy, ensuring alignment with business objectives and technology roadmaps across all divisions * Drive the design and implementation of scalable data governance frameworks, establishing standards and best practices for data management across the organization * Partner with senior leadership and cross-functional teams to identify and prioritize architectural initiatives that enhance data accessibility, quality, and business intelligence capabilities * Oversee the evaluation and integration of emerging technologies and platforms, positioning S&P Global at the forefront of data architecture innovation * Mentor and develop a high-performing team of information architects and data specialists, fostering a culture of continuous learning and technical excellence * Establish and maintain relationships with key technology vendors and industry thought leaders, ensuring access to cutting-edge solutions and market insights S&P Global states that the anticipated base salary range for this position is $170,000 to $265,00. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. Include for roles that are bonus plan eligible, including sales commission plans. * Master's degree in Computer Science, Information Systems, Data Science, or related technical field, or equivalent combination of education and experience * 12+ years of progressive experience in information architecture, data management, or enterprise technology leadership roles * Proven track record of leading large-scale data architecture initiatives in complex, multi-divisional organizations * Deep expertise in data modeling, database technologies (such as SQL Server, Oracle, PostgreSQL), and modern data platforms including cloud solutions (AWS, Azure, Google Cloud) * Strong leadership and team management experience, with demonstrated ability to build and scale high-performing technical teams * Excellent communication and presentation skills, with ability to articulate complex technical concepts to executive audiences * Experience in financial services, media, or data-intensive industries with regulatory compliance requirements * Hands-on experience with big data technologies such as Hadoop, Spark, or similar distributed computing frameworks * Knowledge of data governance tools and frameworks (such as Collibra, Informatica, or Alation) and experience implementing enterprise data governance programs * Industry certifications in cloud platforms, data management, or enterprise architecture (such as AWS Solutions Architect, TOGAF, or DAMA-DMBOK) About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: * Health & Wellness: Health care coverage designed for the mind and body. * Flexible Downtime: Generous time off helps keep you energized for your time on. * Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. * Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. * Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. * Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH102 - Senior Management (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

Technology Cyber Security Architect Cooley is seeking a Cyber Security Architect to join the technology team. Position summary: Cooley Technology embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, the Cyber Security Architect will work to maintain and monitor the security practices and systems implemented by the firm.The Cyber Security Architect will proactively identify and mitigate cyber threats to protect our organization's assets with a focus on emerging technologies and artificial intelligence (AI) security. Working collaboratively with Technology and Innovation teams, the position will design advanced security architecture and threat detection techniques. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Design and maintain enterprise security architecture across on-premises, hybrid, and AI-enabled environments, • Define security standards, patterns, and reference architectures aligned with business objectives and regulatory requirements, • Conduct security architecture reviews for new systems, applications, AI/ML platforms, and major technology changes, • Partner with engineering, infrastructure, DevOps, and data teams to embed security, privacy, and governance into system design and delivery, • Design security controls for AI and ML systems, including data pipelines, model training environments, inference platforms, and AI integrations, • Identify and mitigate risks related to AI systems, such as data leakage, model poisoning, prompt injection, and adversarial attacks, • Evaluate and recommend security tools, platforms, and AI-enabled security technologies, • Ensure architectures comply with applicable legal, regulatory, and industry frameworks (e.g., NIST, ISO 27001, SOC 2, GDPR, emerging AI regulations), • Establish guardrails for responsible and secure use of generative AI and large language models, including access controls, monitoring, logging, and auditability, • Support incident response, forensic investigations, and post-incident architecture improvements, • Provide guidance and mentorship to security engineers and other technical stakeholders, • Communicate architectural decisions and security risks clearly to technical and non-technical audiences, including senior leadership, • Required to participate in a 7x24 on-call rotation, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 3+ years direct applicable experience (e.g., cybersecurity, infrastructure, or systems architecture). Senior level candidates considered with 5+ years direct applicable experience., • Strong knowledge of network security, identity and access management (IAM), encryption, and endpoint security, • Ability to translate business requirements into secure technical designs, • Extensive knowledge and experience with the configuration of security controls and secure migration of enterprise applications, • Experience with implementing security tools and architecture such as:, • Access Controls, • Data Loss Prevention (DLP), • Web Application Firewalls (WAF), • Secure SDLC and Software Security, • Firewalls, • Anti-malware and anomaly detection controls, • Data encryption in transit and at rest, • Network security, • Monitoring, • Bachelor's Degree in Information Technology, Computer Information Systems, Computer Science, Information Security, or related discipline, • Familiarity with security frameworks and best practices (NIST CSF, Mitre ATT&CK, Zero Trust, OWASP, emerging AI regulations), • Familiarity with common security controls in the enterprise (Firewall, Proxy, AV, SIEM, etc.), • Experience with incident response procedures, • Working knowledge of securing AI-enabled applications and services, including data access controls, model integration, and API security, • Experience applying existing security frameworks and controls to emerging technologies, including AI and automation platforms, • Extensive knowledge and understanding of security issues, techniques, and implications across multiple computer platforms, • Demonstrated experience leading and developing others by providing technical guidance and leadership to project teams, • Solid knowledge and understanding of security regulations and best practices such as the ISO 27000 family of standards, • Solid knowledge and understanding of systems development life cycle (SDLC), • Demonstrated experience translating business requirements into architectural deliverables and technical specifications, • Demonstrated experience communicating technical information to business clients and less experienced technologists, • CISSP, CISM or equivalent, • Experience with CI/CD pipelines, • Cloud Architecture and/or Cloud Security Certifications (AWS, Azure, GCP), • Cloud Security Alliance (CCSP, CCSK) (ISC)2, • Additional security certifications Competencies: • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to interact well with all levels of staff and coordinate with several teams to achieve objectives, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Ability to multi-task and work in fast-paced environment, • Entrepreneurial by nature, • Excellent attention to detail, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Proactive, analytical mindset, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Description Amazon Web Services (AWS) is looking for experienced and motivated technologists who possess a unique balance of technical breadth/depth and strong interpersonal skills. As a Solutions Architect, you will partner some of the world's largest financial services companies, AWS Sales, and several other AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems and accelerate the adoption of AWS services. In collaboration with sales, you will drive revenue growth across a small set of global financial services customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build mindshare and broad use of AWS within enterprise customers. The ideal candidate must be self-motivated with a proven track record to connect technology to measurable business value. You should also have a demonstrated ability to think strategically about business, products, and technical challenges. Here are some other qualities we are looking for: • Enjoy working with large, global customers. You will have a passion for educating, training, designing, and building cloud solutions for a diverse and challenging set of enterprise customers., • Have a strong understanding of large-scale computing solutions. Key job responsibilities • As a key member of the account team, partner with customers to ensure their long-term success by helping them harness the power of AWS services to accelerate their business., • Formulate and execute a cloud adoption strategy that delights our customers and builds strong relationships that lead to strategic revenue streams that exceed AWS objectives., • Become a trusted advisor by gaining deep knowledge of AWS services, design patterns and best practices, and sharing that knowledge with clients, other SAs and the wider AWS builder community., • Act as the voice of the customer for AWS service teams to enhance the AWS platform, • Work with other SAs to develop reusable solutions to common business and architectural problems., • Educate customers by leading workshops and hands-on classes to demonstrate how to use AWS services., • Network and build deep relationships with senior technical individuals within customer organizations to enable them to be cloud advocates., • Author and contribute to AWS customer-facing publications such as whitepapers, blog posts and open source projects, and speak at public events., • Help hire, on-board and train new SAs via mentorship and builder programs. Travel up to 20% could be included and will be discussed at the interview stage About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications • 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience, • 3+ years of design, implementation, or consulting in applications and infrastructures experience, • 10+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications • 5+ years of infrastructure architecture, database architecture and networking experience, • Knowledge of software development tools and methodologies, • Experience working with end user or developer communities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 169,000.00 - 228,600.00 USD annually

Data Architect, NoSQL, Big Data, SQL, SQL-like query, Relational, Json, AVRO, Data Modeling, Erwin, Hadoop, HDFS, Hive, Query Engines, Presto, Cloud (AWS / Azure). Must be able to work independently, acting as the lead expert in data, and work with business analysts, project managers, architects, ap

This remote role involves collaborating with engineers and product managers to create scalable solutions.

Opportunity to join the industries top AI Consulting firm, building out both traditional machine learning and cutting-edge generative AI projects of the future! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $250,000 per year A bit about us: We are seeking a dynamic and innovative Machine Learning Solution Architect to join our team. This role is a unique opportunity to join a passionate and mission-driven team that is building a 100 million dollar company looking to quadruple in scale. The successful candidate will be responsible for developing and implementing machine learning models, utilizing AWS, Python, Scala, and other technologies to design and develop data pipelines. The role requires a deep understanding of Spark, Snowflake, and experience consulting. The candidate should have a minimum of 6 years of experience in a similar role. Why join us? • Competitive Base Salary, • Company paid health plan for employees, • Flexible Hours, • Very generous PTO, • Dental and Vision, FSA, HSA, • Small team, autonomy, • Many more great perks! Job Details Responsibilities: • Design, develop, and implement end-to-end cloud-based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)., • Ensure the robustness, scalability, and enterprise-level security of solutions., • Collaborate with the data science team to transform prototypes into new products, services, and features., • Build and maintain data platforms for machine learning model development, ensuring that data is readily available for insight generation., • Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity., • Collaborate with cross-functional teams to understand their business needs and proactively suggest / implement solutions to leverage technology and data., • Provide thought-leadership and consulting services across the business, leading internal teams in the application of ML techniques and practices., • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or PhD will be a plus., • Minimum of 6 years of experience as a Machine Learning Engineer or similar role., • Demonstrated experience with ML Model, AWS, Python, Scala, Data pipelines, Spark, Snowflake, and consulting., • Proven experience in designing and implementing machine learning solutions at scale on AWS., • Solid experience in software development with a focus on quality, performance, and scalability., • Proven ability to design and implement robust data pipelines., • Strong experience with data modeling, data access, and data storage techniques., • Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders., • Strong problem-solving skills, attention to detail, and ability to think creatively., • Ability to work independently and as part of a team in a fast-paced, dynamic environment., • Strong passion for learning and adapting to new technologies., • AWS Certified Machine Learning or similar certification will be a plus. 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. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

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At least 8+ years of hands-on experience in Platform Engineering, SRE, or cloud engineering roles. Proficiency in AWS cloud platform including infrastructure-as-code and CI/CD pipelines. During the first six months, the Platform Engineering Architect will have learned enough about MIO's business, pr

A leading cloud solutions provider seeks an Analytics Specialized Solutions Architect to guide customers in leveraging AWS services to solve complex data challenges. This role entails collaborating with technical teams, participating in architectural reviews, and sharing best practices as a thought

Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Expertise in AWS Connect Contact Flows, Lambda (Python or Node. Job Title: Senior AWS Connect Solutions Architect & Lead Developer.

Overview AWS Cloud Architect with Oracle DBA experience - Fulltime - Remote Responsibilities Extensive experience in migrating Oracle databases to the AWS cloud platform, specifically with AWS Database Migration Service (DMS), AWS Schema Conversion Tool (SCT), and Oracle Database.

CI/CD & Automation: Proven ability to create and manage CI/CD pipelines using tools such as Jenkins, CircleCI, GitHub Actions, or Argo. Responsibilities Architect and Maintain Cloud Infrastructure: Build, maintain, and scale our AWS cloud infrastructure using infrastructure‑as‑code and modern