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Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user experiences. At Scale, you'll work on a mix of cutting-edge customer-facing AI applications and internal SaaS products. Our engineering team powers projects like TIME's Person of the Year AI experience (), a powerful system that enables businesses to build and deploy AI agents at scale. Whether it's developing interactive AI assistants, enterprise-grade web applications, or refining our core SaaS platform, you'll play a crucial role in shaping how AI integrates into real-world applications. • Build and enhance user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies, • Develop and refine features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents, • Design, build, and optimize polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind, • Work closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences, • Integrate frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure, • Ship features at a rapid pace while maintaining a high level of code quality, performance, and accessibility, • 5+ years of experience developing frontend or fullstack applications in a modern tech stack, • Strong proficiency in Next.js, React, TypeScript, and Tailwind, with an eye for building polished, user-friendly interfaces, • Experience working on high-visibility, customer-facing applications and making trade-offs between speed and quality in fast-paced environments, • A passion for AI and experience working on interactive AI applications, agent-based systems, or data-rich web platforms, • Familiarity with backend technologies such as FastAPI, PostgreSQL, GraphQL, and cloud infrastructure like AWS, Azure, or GCP, • A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life This role is a unique opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale. If you're excited by the intersection of AI, frontend engineering, and product design, we'd love to hear from you. The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400-$310,500 USD . Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. 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. 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:$248,400—$310,500 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 ___. 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.

Posting Type Hybrid Job Overview The Advanced Software Engineer designs, builds, and operates cloud-native web applications that power our business. This role blends strong technical skills with a collaborative mindset to deliver secure, scalable, and high-performance solutions on Microsoft Azure while continuing to grow technical depth and architectural understanding. Job Description and Requirements WhatYou'llDo * Design, develop, andoperatesecure, maintainable, and scalable web applications using object-oriented principles, modern architecture, and cloud-native patterns. * Build andmaintainsolutions for data migration and integration between systems, including workflow automation and data transfer processes. * Participate in design discussions, share ideas, and implement solutions that follow best practices for performance, reliability, and security. * Write clean, testable code and apply automated testing, static analysis, and observability tools to ensure reliability and maintainability. * Work across both front-end (modern JavaScript frameworks) and back-end (service-oriented systems built on .NET or similar) components. * Use microservices, containers, and managed Azure services (.NET, Cosmos DB, SQL Server, App Services, Docker) to deliver scalable cloud platforms. * Leverage AI-assisted coding tools (e.g., Copilot, Cursor) to accelerate development, reduce boilerplate, and focus on solving meaningful business problems. * Collaborate closely with peers, designers, and product managers through pair programming, code reviews, and shared design sessions. * Contribute todocumentation, help refine engineering practices, and learn from senior engineers to strengthen your craft. WhatWe'reLooking For * 3-5 years of professional experience building commercial-grade software and/or cloud-native applications. * Practical experience with cloud services, Docker, .NET, JavaScript, Cosmos DB, or SQL Server. * Solid understanding of object-oriented design, distributed services, and modern development practices. * Experience with data integration concepts, including ETL workflows and API-based integrations (prior experience with Relativity Integration Points is a plus, but notrequired). * Demonstrated ability to deliver solutions in collaborative, fast-paced environments. * Strong problem-solving, communication, and teamwork skills. 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: $103,000 and $155,000 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: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). 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: $104,000 and $156,000 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: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

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 Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. 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___.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Contact Center Engineer to join our national Contact Center & Customer Experience practice. This role is responsible for the design, implementation, and optimization of next-generation Contact Center as a Service (CCaaS) solutions, leveraging platforms from Cisco, Amazon Web Services, Genesys, and Five9, and integrating AI-driven capabilities from Google, Amazon, and Microsoft. You'll collaborate with cross-functional teams, partner ecosystems, and clients across industries to transform traditional contact centers into modern, AI-powered engagement platforms that deliver intelligent, seamless customer experiences. Responsibilities include: • Lead design and deployment of CCaaS and hybrid contact center solutions using Cisco Webex Contact Center, Amazon Connect, Genesys Cloud CX, and Five9., • Architect AI-enhanced customer experiences through conversational AI, speech recognition, and automation tools such as Google Dialogflow, AWS Lex, and Microsoft Copilot frameworks., • Develop and integrate APIs between contact center, CRM, WFO/WFM, analytics, and AI systems., • Collaborate with clients to translate business requirements into scalable, cloud-first architectures., • Drive solution standardization and reusable frameworks to accelerate delivery and improve quality., • Provide Tier 3 engineering support, performance tuning, and troubleshooting across multi-vendor environments., • Serve as a trusted advisor to customers on technology modernization, AI adoption, and omnichannel strategy., • Mentor and support junior engineers through knowledge sharing and best practices documentation. Required Skills and Professional Experience • 5+ years of proven hands-on experience designing, implementing, or supporting modern Contact Center or CCaaS platforms (Cisco, AWS, Genesys, or Five9)., • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional or military experience., • Working knowledge of cloud ecosystems and DevOps principles-including AWS, Azure, or GCP., • Demonstrated experience integrating AI/ML solutions (Dialogflow, Lex, Azure AI, Copilot, etc.) with CCaaS workflows., • Familiarity with serverless development and API-driven architectures (Lambda, Node.js, Python, JavaScript, REST)., • Exposure to CRM and WFO/WFM integrations (Salesforce, ServiceNow, Verint, Calabrio, etc.)., • Understanding of Infrastructure as Code (IaC) tools (CloudFormation, Terraform, or CDK) and automation frameworks., • Strong troubleshooting, diagnostic, and analytical skills in complex multi-platform environments., • Knowledge of Speech Analytics, Generative AI, and intelligent routing in customer experience platforms., • Experience developing custom integrations or microservices supporting CCaaS functionality., • Understanding of identity, access management, and data security within cloud environments (SAML, OAuth, IAM)., • Familiarity with data analytics and reporting pipelines leveraging AI for customer insight. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: 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. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JH1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

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. 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 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 ___. 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's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are looking for a Mission Software Engineering Manager to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale's government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows. You will: • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap., • Work directly with customers to understand their problems and translate those into features in Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • 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., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Deploy and maintain Scale software at customer sites, • Develop customer requested features and work closely with them to ensure that they win customer love., • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • 5+ years of full-time engineering experience, post-graduation, • 2+ years of prior engineering management or equivalent experience and has managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Linux experience: Understanding of shell scripting, operating systems, etc, • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc), • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • 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 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 ___. 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 Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. 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. Salary Range$180,000—$220,000 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 Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. 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 ___. 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.

Senior Technology Development Operations Engineer Cooley is seeking a Senior DevOps Engineer to join the Infrastructure & Development Operations team. Position summary: The Technology Development Operations (DevOps) Engineer is responsible for building, maintaining, and optimizing the infrastructure and automation pipelines that support Cooley's custom application delivery. Working under the guidance of the Development Operations Manager, this role focuses on improving the efficiency, security, and reliability of the firm's hybrid cloud environments and CI/CD workflows. The engineer will collaborate closely with development, data, and infrastructure teams to ensure seamless integration and deployment of applications. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Build, configure, and maintain DevOps infrastructure across hybrid cloud environments (AWS, Azure, on-prem), • Develop and maintain Infrastructure as Code (IaC) using Terraform and related tools, • Implement and manage CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins, • Automate provisioning, configuration, and deployment processes to support rapid and secure software delivery, • Monitor system performance, availability, and security using tools like Datadog, AppDynamics, or New Relic, • Participate in incident response, root cause analysis, and postmortem documentation, • Support release management processes across Dev/Test/Prod environments, • Work with development and data teams to integrate applications into the DevOps-managed environment, • Attend stand-ups and planning sessions to stay aligned with product and infrastructure roadmaps, • Provide documentation and knowledge sharing for operational processes and tooling, • Consult peer teams for feedback during the design, testing, and implementation stages, • 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, • 6+ years of experience in cloud infrastructure and DevOps, • Proficiency in AWS or Azure architecture, configuration, and security, • Experience designing CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform skills, including use of Terragrunt and advanced workflows, • Hands-on experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Experience deploying .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's degree in Computer Science, IT, Engineering, or associated discipline, • Experience with ETL workflows and tools such as AWS EMR, Azure Synapse, Data Factory, Hive, Spark, or Airflow, • Experience deploying AKS/EKS/GKE via IaC, • Familiarity with enterprise Data Lake environments (e.g., Databricks, Snowflake) Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues., • Excellent organizational, planning, and time management skills and ability to work either independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of business professionals, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy 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 $155,000 - $220,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. 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.

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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).

Identity and Access Management ("IAM") Engineer Cooley is seeking an IAM Engineer to join the Security 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 Technology Identity and Access Management ("IAM") Engineer works independently and serves as a key contributor in designing, implementing, and operating secure, compliant, and scalable identity services. This role supports the firm's IAM program across Entra ID (Azure AD), Privileged Access Management, Active Directory, SSO/MFA/Conditional Access, Identity Governance processes, Cloud Identity (AWS), and Certificate Lifecycle Management. The position partners closely with Cybersecurity, Innovation and Technology teams, HR, as well as business stakeholders to deliver reliable identity capabilities that protect firm data and enable business operations. Specific duties include, but are not limited to, the following: Position responsibilities: • Deliver and operate IAM capabilities across provisioning, authentication, authorization, and identity lifecycle processes, • Administer and improve Microsoft Entra ID (Azure AD) and on-prem Active Directory including account lifecycle management, group/role administration, delegations, and directory hygiene, • Implement and support Single Sign-on (SSO), Multi Factor Authentication (MFA), and Conditional Access controls, ensuring authentication standards are applied consistently and exceptions are documented and governed, • Engineer and maintain identity integrations for SaaS and on-prem applications, including federation and enterprise application configurations, • Support the Privileged Access Management (PAM) program by onboarding privileged identities, implementing credential protection and rotation workflows, supporting access approvals and break-glass procedures, • Execute identity governance workflows such as joiner/mover/leaver workflows, access requests, access reviews, exception handling, and remediation activities in coordination with IAM leadership and HR/Technology stakeholders, • Implement cloud identity solutions using secure access patterns for human and workload identities, aligned to firm standards and least privilege, • Contribute to certificate lifecycle management efforts, including inventory support, ownership mapping, issuance/renewal processes, and automation initiatives, • Implement, manage and maintain internal and external certificate platforms, • Automate and standardize IAM operations through scripting or other automation workflows to improve efficiency, consistency, and reliability, • Monitor IAM systems and access posture for issues or anomalies and partner with Cyber Security and other Technology teams to resolve findings, • Develop and maintain clear documentation, procedures, and runbooks for IAM systems and integrations, • Participate in on-call rotation and after-hours support, as required, • All other duties as assigned or required Skills & 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, • 4+ years of progressive IAM/directory/authentication or relevant experience in an enterprise environment. Senior level candidates must have 5+ years' directly applicable experience., • Hands-on experience with Entra ID (Azure AD) and Active Directory administration, including identity lifecycle management and enterprise account administration, • Hands-on experience implementing and supporting SSO/MFA/Conditional Access controls, • Experience with identity and access protocols such as SAML, OAuth, OpenID Connect, LDAP, and SCIM, • Experience supporting or engineering Privileged Access Management (PAM) workflows, • Experience working with cloud identity services, including roles, policies, and federation for human and workload identities, • Bachelor's degree in computer science, Information Systems, or related field, • Experience with PAM tooling and privileged identity workflows and/or identity governance, • Familiarity with AWS IAM and broader cloud IAM patterns, • PowerShell scripting (or equivalent) to support automation and operational consistency, • Experience with CrowdStrike Identity Protection, • Experience with Tenable Identity Exposure, • Experience with SIEM solutions, • Prior law firm or professional services experience, • Relevant certifications such as CISSP, Azure, AWS or other IAM-focused certifications Competencies: • Entrepreneurial by nature, • Strong analytical and problem-solving skills, with the ability to design, implement and troubleshoot identity and access solutions, • Demonstrates sound technical judgement when implementing authentication, access controls, and security integrations, • Works independently while effectively prioritizing tasks and managing multiple workstreams, • Communicates clearly and professionally with both technical and non-technical stakeholders, • Maintains a high level of accuracy, documentation, and attention to detail in operational work, • Adapts quickly to changing requirements, technologies, and priorities, • 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 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 $130,000 - $195,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. 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.

Senior Cyber Security Engineer Cooley is seeking a Senior Cyber Security Engineer to join the Security 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 Engineer is expected to recognize that the Cooley Technology department is a service organization first and foremost and will be evaluated on this requirement equal in importance to the technical or operational responsibilities outlined later in this document. The Cyber Security Engineer will work to maintain and monitor the security practices and systems implemented by the Firm. The Cyber Security Engineer will implement and manage security systems and tools as directed by Firm policies, procedures, and management. Specific duties include, but are not limited to, the following: Position responsibilities • Review, analyze and monitor security system reports and logs for suspicious activities, trends and patterns. This includes but is not limited to web filters, mail gateways, firewalls, encryption systems, anti-malware systems, IDS/IPS, • Configure, maintain, and administer security products and solutions used within the Firm, • Configure, maintain and administer firewalls, VPN, privileged access management (PAM), data loss prevention, EDR, and security information event monitoring (SIEM) systems, • As a member of the Incident Response team respond to alerts, warnings, incidents, and help desk tickets to ensure minimum exposure of Firm assets under the direction of the Cyber Security Manager, • Participate in troubleshooting efforts on all cyber security related problems to include the establishment, management, and use of TAM arrangements with specified security vendors, • Participate as a technician/engineer on Technology and Innovation projects, • Conduct risk and security reviews on products as directed by the Cyber Security Manager or Technology management, • Recommend controls to ensure the appropriate level of protection and adherence to the goals of the overall information security strategy, • Monitor Technology security metrics and measures to include monitoring security system logs, Windows server logs, and network monitoring systems, • Provide consultation and conduct internal investigations that may require forensic analysis under the direction of the Cyber Security Manager and/or Technology management, • Respond to audit findings as directed by the Cyber Security Manager and/or Technology Management, • Evaluate and recommend commercial security vendors and products, • 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, • 5+ years of experience in information security with the proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Proven practical experience in information security and well-rounded knowledge of Technology, • Experience working with:, • Active Directory, • Firewalls, • Intrusion Detection and Prevention Systems, • Endpoint Detection and Response (EDR) and management console, • Web filter/proxy technologies, • Encryption technologies - whole disk, e-mail, and data at rest, • Vulnerability scanners, • Data loss prevention, • Email gateways and anti-spam services, • Privileged account management systems, • Security information and event management systems, • AWS and Azure Cloud Services, • Bachelor's Degree in Information Technology or Computer Information Systems, • CISSP or equivalent certifications and/or experience, • Experience working with the following products:, • Palo Alto Network's Firewalls and Prisma Access, • Tenable Vulnerability Scanner, • VMWare, • Cyberhaven Data Loss Prevention, • Proofpoint Email Gateway and Anti-Spam, • Forensic Tools, • S/MIME email encryption, • Delina Secret Server, • Crowdstrike, • Google SecOps SIEM, • Two factor authentication technologies, • Penetration testing tools, • Patch management systems Competencies: • Exceptional customer service skills, • Excellent analytical, problem-solving, customer service, project management and communication skills, • Goal-oriented, • Excellent decision making, integrity and working with IT management, business users and staff, • Excellent oral and written communication skills, including technical and user documentation, • Strong organizational skills, • Ability to work independently and under high pressure with tight schedules and deadlines, • Ability to interact well with all levels of business professionals, • Excellent active listening skills, • Flexible and patient with process development/execution and adherence to instruct project management practices, • Capable of grasping new concepts quickly and without prior experience, • Detail-oriented, • Ability to multi-task and work in fast-paced environment, • Ability to interact and coordinate with several teams to achieve objectives, • Ability to solve problems independently and simultaneously, effectively managing multiple tasks, • Professional demeanor at all times 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 $145,000 - $210,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. 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.

Job Description: Overview: We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Chatham Financial is looking for an AI Solutions Engineer to design, build, and deploy custom AI solutions that address high-value business workflows. This is a hybrid technologist and trusted advisor role.You'llwork closely with stakeholders to understand operational challenges and build AI-powered solutions that create measurable value.You'llown problems end-to-end-from discovery through production. This is a hybrid technologist and trusted advisor role.You'llembedwith client teams, understand their operational challenges, and build AI-powered solutions that create measurable value. Think startup CTO meets management consultant-you'llownproblems end-to-end. What You'll Do: Client Engagement * Work directly with private equity firms, real estate investors, and capital markets clients to understand their workflows andidentifyAI opportunities * Lead discovery conversations to uncover pain points and scope solutions * Present recommendations to both technical and executive stakeholders Solution Design & Architecture * Architect custom AI solutions including workflow automation, data extraction, intelligent reporting, and AI agents * Evaluate when to use LLMs vs. traditional ML vs. rule-based approaches * Design systems that integrate with existing client infrastructure Hands-On Building * Write production code-Python, modern web frameworks, LLM integrations (OpenAI, Anthropic, etc.) * Build RAG systems, agentic workflows, and custom AI applications * Own the full stack from data ingestion to user interface Rapid Prototyping * Build working prototypes in days/weeks, not months * Validate value quickly with real users and real data * Iterate based on feedback and measured outcomes Production Deployment * Take solutions from prototype to production * Ensure reliability, security, and maintainability * Support ongoing optimization and enhancement Contributors to your success: * 7+ years of software engineering experience, ideally with client-facing or consulting exposure * Strong programming skills in Python; experience with TypeScript/JavaScript a plus * Hands-on experience building with LLMs (GPT, Claude, etc.)-RAG, prompt engineering, fine-tuning, or agentic systems * Experience taking AI/ML projects from prototype to production * Excellent communication skills-can explain technical concepts to executives and collaborate with non-technical stakeholders * Comfortable with ambiguity-can scope problems, make decisions, and own outcomes end-to-end * Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent experience * Experience in financial services, private equity, or real estate * Background at a startup (especially as early engineer) or consulting firm * Experience with data pipelines, ETL, and working with messy enterprise data * Familiarity with cloud platforms (AWS, Azure, GCP) * Experience with vector databases, embeddings, and semantic search About Chatham Financial: Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, visit___. Chatham Financial is an equal opportunity employer.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Diversified global enterprise operating at the intersection of media, information services, and technology. With a long-standing history of innovation and reinvention, we support a broad portfolio of businesses spanning digital media, financial services, healthcare, data analytics, and software-driven platforms. Why join us? This is a chance to build the future of automation at enterprise scale. You won’t be maintaining legacy processes—you’ll be designing how systems integrate, how data flows in real time, and how AI-driven automation transforms IT operations. You’ll have the autonomy to shape the roadmap, deliver visible wins quickly, and influence how a large organization modernizes asset management and governance. If you’re a hands-on engineer ready to step into automation and AI leadership, this role offers real ownership, meaningful impact, and the opportunity to leave behind systems that are smarter, faster, and built to last. Job Details Director, Asset Automation & Systems Integration Job Description About the Role We are seeking a forward-thinking and highly technical Director of Asset Automation & Systems Integration to lead the transformation of enterprise asset management capabilities. This role goes far beyond traditional IT asset management. It is focused on building the foundation for a fully automated, AI-enabled future where disparate systems integrate seamlessly, data flows automatically, and manual reconciliations are eliminated. The ideal candidate is a hands-on technologist with proven experience in systems integration, automation, and modern infrastructure engineering. This role manages a small, established asset management team, but the primary focus is on designing and delivering next-generation solutions: connecting critical data sources to the CMDB, developing live integrations, enabling AI-driven automation, and shaping the long-term roadmap for automation and digital workforce capabilities. This is a rare opportunity to build the future of IT operations at scale and is well suited for an engineer with an identity, cloud, or network background who is ready to expand into AI and automation leadership. Key Responsibilities Systems Integration & Automation Design, build, and maintain integrations between CMDB platforms, identity systems, security tools, cloud services, and network portals. Evaluate failed or inefficient integrations, conduct retrospectives, and recommend scalable, sustainable solutions. Create and execute a technical roadmap to achieve live, automated data flows across the enterprise. AI & Automation Roadmap Drive adoption of AI tools and autonomous agents to enhance IT operations. Partner with automation teams to leverage shared toolkits and establish best practices. Position the asset management function for a future where governance and operations are highly automated. Leadership & Stakeholder Management Manage and mentor a team of asset management professionals, guiding them toward higher-value, automation- and AI-driven work. Collaborate closely with infrastructure, identity, cloud, network, and security engineering leaders. Engage senior leadership, providing clear updates, recommendations, and strategic guidance on automation initiatives. Strategic Delivery Deliver near-term automation wins while building toward long-term AI-enabled capabilities. Collect, analyze, and synthesize input from engineering and security teams to ensure the CMDB contains meaningful, actionable, and trusted data. Own retrospectives on unsuccessful initiatives and propose cost-effective, technically sound alternatives. Qualifications Technical Expertise (any of the following) Identity Engineering: Experience with modern identity platforms such as SailPoint, Okta, or equivalent. Cloud Engineering: Azure, AWS, or Google Cloud with hands-on experience in integrations and automation. Network Engineering: Strong experience with network portals, device integrations, and providers (e.g., Cisco, Meraki, Palo Alto). Required Skills Proven experience designing and implementing integrations across enterprise systems. Deep technical understanding of automation concepts, APIs, and system interoperability. Strong knowledge of data normalization, deduplication, and synchronization. Ability to create and execute a technical roadmap. Curiosity and demonstrated aptitude for AI and emerging automation technologies. Preferred Qualifications Prior leadership or small-team management experience. Experience with ServiceNow CMDB or equivalent platforms. Strong business acumen, with the ability to balance cost, efficiency, and risk in technical decision-making. 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. 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Join to apply for the Senior Software Engineer role at Altana Join to apply for the Senior Software Engineer role at Altana Get AI-powered advice on this job and more exclusive features. AI can be a powerful tool for good in the world – at Altana we apply AI to the world’s largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world’s most important organizations, including Lloyd’s, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you’ll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Engineering team is responsible for building out the platforms, API’s, services, workflows, and logical architectures for bringing this vision to life. We are creating a platform fundamentally driven by AI, which scales to a massive trove of data, and a diverse customer base; it is a complex system that will stretch engineering in many directions. You’ll work closely with our Data Scientists on projects to analyze and observe world-scale datasets, write code that can scale to produce never-before-seen insights, and construct APIs to deliver our product vision. You Will Ingest product requirements, define technical requirements, and design practical, iterative technology designs that achieve the goal while fitting into our overall technical and product roadmaps. Personally develop and deploy services creating and supporting our overall architecture. Build and maintain distributed data processing and machine learning pipelines. Analyze and propose technical solutions to invent, enable, and enhance our product offerings. Be responsible for automating, testing, and deploying your work. Review the code and technical designs authored by your fellow team members, and hold a high bar for quality. Mentor junior developers and help them level up their skills. You Have BS or MS degree in Computer Science, or equivalent experience. 5+ years of real-world professional experience writing back end or data-driven software in demanding environments. You’ve deployed production code and services to cloud-hosted environments. You have demonstrated experience delivering incremental releases from proof-of-concept to MVP to production. Self-starter with demonstrated experience working on large, complex problems. You care deeply about engineering excellence, clean code, and knowledge-sharing. You have strong written and verbal communication skills. Nice To Have, But Not Required Experience with Python Machine Learning toolsets (Numpy, Pandas, Dedupe). Experience with container technologies like Docker and Kubernetes. Technologies we love to use at Altana Languages: Python, PySpark Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS/Azure, MLFlow, Celery Datastores: Databricks and Delta Lakes This role can be based in any of our Altana hub locations, with hybrid work flexibility: New York City or San Francisco, CA Why it’s great to work at Altana We love to collaborate, and we win as a team! We are committed to engineering excellence We value personal and professional development We learn from diverse backgrounds and perspectives We impact the world, from enabling developing countries to identifying drug traffickers At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation. Offers related to employment at Altana will come from an Altana.ai email address. We will never ask for payment as part of the interview or onboarding process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Altana by 2x Sign in to set job alerts for “Senior Software Engineer” roles. 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A Cloud Security & Networking Engineer with strong experience in Azure and hybrid cloud environments, and deep understanding of secure connectivity patterns including interconnects, FastConnect, ExpressRoute, and BGP-based routing. Design and implement secure cloud networking architectures across Az

AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. In data engineering at PwC, you will focus on designing and

CTG is seeking a Senior Cloud Desktop Engineer to support the global migration from legacy VDI to modern cloud desktop environments.Manhattan, NY (onsite 3 days/week).Design, implement, and optimize cloud desktop solutions (Azure Virtual Desktop, Citrix, or similar).Collaborate with global teams on

AWS Certified Solutions Engineer, CCSK, TOGAF, SOA, and ITIL Demonstrated experience in working with cloud-based technologies (Amazon Web Services & Azure) in an enterprise computing environment. Proven DevOps expertise including automation and continuous delivery model Consistent track record for s

Professional certifications in major cloud providers for security such as AWS Certified Security – Specialty, Microsoft Certified: Cybersecurity Architect Expert or Azure Security Engineer Associate and other related certificates such as Certified Information System Auditor (CISA), Certified Infor

Job DescriptionCompany Description We are a boutique IT recruiting agency that strictly works with IT consulting companies and managed services providers. We place candidates on a permanent, full time basis (no contract or contract-to-hire positions). Job Description Tier 2 Field Technician (New York City | Hybrid Field + Remote) Full-Time | MSP Environment We’re looking for a confident, customer-friendly Tier 2 Field Technician to support our clients throughout NYC. This role blends remote work with frequent onsite visits, and is perfect for someone who enjoys variety, problem-solving, and being the “face” of the company at client locations. If you're looking to grow your skills, build deeper technical experience, and eventually move into higher-level engineering roles, you’ll feel right at home here. What You’ll Do * Provide Tier 2 support across multiple client environments—both remotely and onsite. * Work from home on remote tickets, while spending 3–4 days per week onsite handling escalations, hands-on troubleshooting, and client requests. * Support desktops, laptops, mobile devices, network hardware, servers, and cloud services. * Troubleshoot issues involving Microsoft 365, Windows OS, macOS, Azure AD/Entra ID, printers, connectivity, and business applications. * Deploy and support firewalls, switches, access points, and other network components. * Assist with small-to-medium projects such as workstation rollouts, network upgrades, migrations, and hardware refreshes. * Maintain accurate documentation in RMM/PSA tools and communicate clearly with both clients and internal teams. * Build strong relationships through professionalism, reliability, and excellent communication. What You Bring * MSP experience is required—you’re comfortable with multi-client environments and shifting priorities. * Solid Tier 2 troubleshooting experience across Windows, macOS, Microsoft 365, networking basics (DNS, DHCP, VLANs), and common business software. * Comfort supporting field hardware—workstations, WiFi, printers, cabling basics, routers, and switches. * Ability to solve problems independently and escalate appropriately when needed. * Strong communication skills and a client-first, service-oriented mindset. * Ability to navigate NYC for onsite visits (subway/walking is perfectly fine). * A desire to learn, grow, and take on more responsibility over time. Growth & Advancement Opportunities We invest heavily in professional development, and this role is designed to be a launching pad. As you grow your technical depth and take on more responsibility, you’ll have opportunities to advance into: * Senior Support Engineer * Project Engineer / Implementation Specialist * Systems Administrator * Systems Engineer * Cloud Engineer (M365/Azure) * Network Engineer We want you to move forward, not stay stuck in tickets forever. Why You’ll Love This Role * A healthy balance of remote work and onsite client interaction. * A supportive MSP team that values collaboration and continuous learning. * Exposure to a wide variety of environments, keeping every day interesting. * Clear pathways to advance into higher-level engineering and system administration roles. If you love helping people, enjoy being hands-on in the field, and want a career path that grows with you, we’d love to talk. Qualifications MSP Experience necessary. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Seeking a highly skilled Azure Hybrid Desktop Support Engineer to join our IT team. This role sits at the intersection of end-user support, modern endpoint management, and cloud infrastructure, supporting a hybrid environment spanning on-prem Active Directory and Microsoft Azure (Entra ID). The ideal candidate combines hands-on desktop support experience with modern management tools (Intune, Autopilot) and thrives in a fast-paced, high-performance environment supporting demanding users. Key Responsibilities End-User Support & Operations • Provide white-glove desktop support for executives, traders, and business users, • Troubleshoot Windows 10/11, Microsoft 365, and line-of-business applications, • Support conference rooms, AV systems, and collaboration tools (Teams, Zoom), • Support and maintain hybrid identity environments (on-prem AD + Microsoft Entra ID), • Administer Azure AD Connect, synchronization, and identity troubleshooting, • Manage devices via Microsoft Intune / Endpoint Manager, • Deploy and maintain Windows Autopilot for zero-touch provisioning, • Automate repetitive tasks using PowerShell, • Assist with desktop engineering initiatives (image management, patching, policy deployment), • Support endpoint security tools (Defender for Endpoint, AV/EDR platforms), • Assist with access control, MFA, and device compliance policies, • Participate in audits, remediation, and security hardening initiatives Required Qualifications • 3–5+ years of experience in desktop support / end-user computing, • Strong experience with:, • Windows 10/11 administration, • Microsoft 365 (Outlook, Teams, OneDrive, SharePoint), • Active Directory (users, groups, GPOs), • Hands-on experience with:, • Microsoft Intune / Endpoint Manager, • Azure AD (Entra ID) in a hybrid environment, • Solid troubleshooting skills across:, • OS, applications, networking basics, and hardware, • Experience with:, • Azure AD Connect / hybrid identity sync, • Windows Autopilot deployments, • Defender for Endpoint or similar EDR tools, • Exposure to:, • VDI environments (Citrix, VMware Horizon, Azure Virtual Desktop), • Patch management tools (WSUS, Intune Update Rings), • Background in financial services, hedge funds, or high-performance environments

Job DescriptionSalary: $60K-$200K Depending on Experience Pathway Partners LLC is looking for talented Network Engineers at both Junior and Senior levels to join our ranks for future projects. You would play key roles in designing, operating, and maintaining customer LAN, WAN, and WLAN networks. Junior Network Engineer Types of skills and experience we are looking for: • At least 2 years of experience in network engineering, • Cisco CCNA certification (or equivalent), • Basic understanding of LAN, WAN, and WLAN technologies, • Familiarity with network protocols (TCP/IP, DHCP, DNS, etc.), • Basic knowledge of network security principles, • Assist in designing and implementing network solutions, • Perform basic network troubleshooting and maintenance, • Help with network documentation and inventory management, • Participate in network monitoring and basic issue resolution, • Support senior engineers in larger projects and deployments, • Learn and apply network management tools for anomaly detection Senior Network Engineer Types of skills and experience we are looking for: • 5+ years of experience in network engineering, • Cisco CCIE certification (or equivalent advanced certification), • Extensive experience with LAN, WAN, and WLAN technologies, • In-depth knowledge of routing and switching protocols, • Strong background in network security and best practices, • Experience with cloud networking (AWS, Azure, or GCP), • Design, develop, test, and deploy complex data communication networks, • Lead network architecture planning and implementation, • Perform advanced troubleshooting and optimize network performance, • Implement and manage network security measures, • Mentor junior engineers and oversee their work, • Evaluate and recommend new networking technologies, • Implement advanced network management systems to detect anomalies, mitigate failures, and prevent unauthorized access Junior and Senior Network Engineers Traits we are looking for across Network Engineer candidates: • Experience in designing, developing, testing, and deploying data communication networks, • Familiarity with network management tools for monitoring, alerting, and anomaly detection, • Strong analytical and problem-solving skills, • Excellent communication skills, both written and verbal, • Ability to work effectively in a team environment, • Willingness to participate in on-call rotations for network support If you have experience building and maintaining robust, secure, and efficient networks, we want to hear from you. Share your resume for potential network engineering projects. Depending on the project, roles may short- or long-term, as well as part-time consultancy or full-time employment. Full-time employees of Pathway receive competitive benefits.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionSoftware Engineer - Video Content Augmentation Job Title: Back-End Software Engineer (Rust) Location: New York, NY (Hybrid - 4 days onsite) Salary Range: $145,000 - $200,000 (Base) About the Role We are seeking an experienced and passionate Back-End Software Engineer with strong proficiency in Rust and Java to join a dynamic team driving innovation in the sports technology space. As a key contributor, you'll play a vital role in building scalable, high-performance systems that power real-time data products for millions of users across the globe. This position is ideal for engineers who thrive in a fast-paced, collaborative, and Agile environment. You'll be encouraged to take ownership of projects, continuously improve processes, and stay at the forefront of emerging technologies. Key Responsibilities * Design, develop, and maintain high-performance server-side applications using Rust * Lead new Rust projects and help transition legacy Java frameworks to Rust * Collaborate closely with front-end developers to ensure seamless integration * Design and maintain robust relational databases (e.g., PostgreSQL, MySQL) * Build and maintain RESTful APIs and web services * Optimize applications for speed, scalability, and reliability * Write clean, maintainable, and well-documented code * Troubleshoot, debug, and solve technical challenges * Stay current with industry trends and emerging tools/technologies Required Qualifications * Proven experience as a back-end software engineer * Strong proficiency in Rust and its ecosystem * Experience with Java and frameworks like Spring * Solid understanding of relational databases and data modeling * Proficient in building and consuming RESTful APIs * Familiarity with Git and modern version control practices * Strong analytical and problem-solving skills * Excellent communication and teamwork abilities Preferred Qualifications * Experience with cloud platforms (AWS, GCP, or Azure) * Familiarity with Agile/Scrum development methodologies * Knowledge of testing frameworks (e.g., JUnit) Benefits * Competitive salary and annual leave * Comprehensive health insurance * Skills training and professional development opportunities * Social and team-building events throughout the year * Wellness programs and initiatives Additional Information This is a full-time role based in New York, with a hybrid working model requiring 4 days per week in-office. The exact compensation will be based on location, experience, and seniority. We are committed to fostering a diverse and inclusive workplace. All qualified applicants are encouraged to apply and will be considered regardless of background, identity, or status. • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 02/13/2024 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Our client is an established, privately held, growing, New York-area government contractor. Our client’s focus is in providing Information Technology (IT) Services to city, state and federal government clients. We are currently seeking a skilled IT Cloud Specialist to work in a full-time onsite role on a large scale project at a client location in Manhattan, New York City / Newark, New Jersey. Reporting to the IT Project Manager, the IT Cloud Specialist is responsible for assisting in the design, implementation, management, and support of cloud computing networks utilizing Virtual Desktop Infrastructure (VDI), Azure Virtual Desktop (AVD) and Citrix technologies to ensure a smooth end-user experience, optimal performance, and strong security across the IT infrastructure. The ideal candidate will have relevant technical education / certifications, 5+ years of IT cloud computing experience and strong technical expertise in VDI, Citrix, and AVD. Experience in Construction or Building related organizations is highly desirable. Must be solution and customer-focused with effective communication skills, and demonstrated ability to meet user needs with IT cloud solutions. PRIMARY RESPONSIBILITIES INCLUDE: • Configure, implement, manage, maintain, troubleshoot and support IT cloud solutions within Microsoft Azure and Citrix Cloud., • Configure, install and update cloud software, manage user accounts and monitor networks and system performance., • Assist in designing, deploying, and managing VDI solutions such as Citrix XenDesktop / XenApp or Microsoft AVD., • Manage documentation, contribute to improvement efforts, and automate processes using scripting., • Oversee VDI image management, troubleshoot and resolve issues related to Citrix VDI and AVD, ensuring high availability and disaster recovery, monitoring performance, and collaborating with IT security teams to enforce security policies., • Work closely with Project Management, IT, Engineering and other stakeholders. Ensure that cloud solutions and systems perform properly and that all business requirements are successfully met., • Implement and support new client requirements and customizations., • Consistently engage with clients and stakeholders to maintain relationships and ensure high levels of satisfaction. CANDIDATE REQUIREMENTS INCLUDE: • Bachelor’s Degree in Computer Science, Information Technology, or closely related field. Relevant IT cloud certifications such as Microsoft Azure, AWS Cloud, Google Cloud, CompTIA Cloud+ or Certified Cloud Security Professional (CCSP). Other VDI-related certifications such as VMware VCP-DTM, Citrix CCA-V/CCP-V, or Microsoft AZ-140 a plus., • 5+ years of experience implementing, managing and supporting large scale IT Cloud networks and platforms., • Prior experience in Construction or Building-related organizations is highly desirable., • Experience managing VDI, including Citrix and/or Microsoft AVD. Hands-on experience with Citrix Virtual Apps and Desktops, Citrix ADC, and Citrix Cloud services. Proficiency in Windows Server administration, Active Directory, and networking concepts required. Proficient knowledge of the VDI stack and experience with scripting languages like PowerShell. Familiarity with monitoring tools for Citrix environments (Citrix Director)., • Experience with other virtualization technologies (VMware, Hyper-V), and knowledge of security best practices for virtualization and remote access., • Ability to work in a fast-paced environment and manage multiple tasks simultaneously., • Experience with Project Management principles and practices such as ITIL, Scrum, LEAN, Agile, or DevOps., • Effective problem-solving and relationship-management skills. Prior experience collaborating closely with users, clients, stakeholders and technology suppliers to resolve technical issues., • Excellent verbal, written and interpersonal communication skills with users, clients, team members, technical staff, and management. Able to interface, communicate and maintain effective relationships with team members and all levels of management on an ongoing basis and work as a trusted IT professional., • Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) for use in communication, analysis & tracking., • Key Competencies: Collaborative Work Style, Customer Service Focused, Problem-Solver, Professional, Resourceful, Results-Focused, Solutions Focused, Self-Motivated, Team-Player., • Must be able to pass a required background check and/or security clearance to work on government projects. TEAM RESPONSIBILITY: Serve as a key member of the client's IT team. Collaborate with internal team members, users, clients and vendor partners. Mentor team members. KEY RELATIONSHIPS / STAKEHOLDERS: • IT Project Manager, • Internal Team Members, Users, Clients and SME's, • Client and Technology Partners RELOCATION ELIGIBILITY: No relocation assistance provided. Local, qualified New York City metro area candidates will be given preference and priority. Qualified candidates willing to self-relocate to the New York City metro area will also be considered. COMPENSATION & BENEFITS INFORMATION: • Base Salary Range: $120,000 - $150,000, commensurate with experience and qualifications, • Benefits Include: Health & Dental Insurance, Paid Time Off, 401-K with match, FSA, Company Paid Training, etc. POSSIBLE COMPARABLE TITLES: • IT Cloud Engineer, • IT Cloud Architect, • IT Cloud Administrator, • IT Cloud Consultant, • DevOps EngineerCompany DescriptionTalent Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries. Visit us at: Solution Partners is a full-service Talent Acquisition and Solutions Firm. Our primary focus is the placement of senior-level professionals and executives for clients in Healthcare, Consumer Products, Business-to-Business Services and related industries.\r\n\r\nVisit us at:

Job DescriptionAbout Us:Versana is an industry-backed data and technology company on a mission to make the syndicated loan market better. By digitally capturing agent banks’ data on a real-time basis, Versana provides unprecedented transparency into loan level details and portfolio positions, bringing efficiency and velocity to the entire market. Through our centralized platform, participants can rest assured they are accessing the loan market’s most credible source of deal information. With the support of our investors, Versana is fast becoming the technology of choice to usher in the long-awaited transformation of the syndicated loan market. About You:We are seeking a Performance Test Engineer to build and evolve Versana’s performance testing framework to ensure stability, scalability and reliability across web, API, and data-processing services. The ideal candidate will design, implement, automate, and analyze performance test in Agile environments and collaborate with the engineering team to resolve bottlenecks and optimize throughput, latency, and resource utilization. Key Responsibilities • Design, develop, and maintain performance test plans, scenarios, and scripts (JMeter, k6)., • Automate performance tests in CI/CD pipelines (GitHub/ADO/AzureDevops) with environment provisioning., • Define SLAs/SLOs and benchmark targets, establish baselines and regression gates., • Execute load, stress, soak, spike, and capacity tests, capture and analyze metrics., • Diagnose bottlenecks across app, DB, network, and container layers and recommend tuning actions., • Integrate monitoring/telemetry (Datadog) and produce actionable reports for engineering and leadership., • Collaborate with architects on system design for performance, resiliency, and cost efficiency., • Contribute to reusable test data strategies and shift-left performance validations in Scrum teams.Must Haves, • Bachelor’s degree and 3+ years in performance testing for enterprise applications., • Proven expertise in script creation, scenario design, execution, and result analysis using JMeter and/or k6., • Strong programming/scripting skills in Java and JavaScript, experience with test harnesses and custom plugins., • Hands-on experience with cloud platforms (Azure) and container orchestration (Docker, Kubernetes)., • Familiarity with messaging, caches, and databases, SQL proficiency for data validation and query tuning., • Experience integrating performance tests into CI/CD, artifact versioning and results gating., • Proficient with observability/APM tools (e.g., Datadog) and log/trace correlation.

Job Description We are looking for a skilled DevOps Engineer to join our Engineering team. In this role, you will report directly to the Director of Engineering and be responsible for building and maintaining the infrastructure, tools, and processes that power our platform at scale. You will work closely with the Software Engineers and the Product team to ensure our systems are reliable, scalable, and secure. You'll own our CI/CD pipelines, cloud infrastructure, and observability stack — and play a key role in shaping how we build and ship software. What you will do • Design, build, and maintain our cloud infrastructure., • Manage and scale Kubernetes clusters, Helm deployments, and GitOps workflows using ArgoCD., • Build and improve CI/CD pipelines to enable fast, reliable deployments., • Monitor system health and respond to incidents., • Manage data pipelines and database infrastructure (Aurora, Snowflake, CDC pipelines)., • Partner with the Director of Engineering to define and execute infrastructure strategy., • 2+ years of experience in a DevOps, SRE, or an Infrastructure Engineering role., • Strong experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes., • Hands-on experience with ArgoCD, GitOps principles, and Crossplane., • Experience with CI/CD tools and solid scripting skills in Bash and Python., • Excellent communication skills to effectively communicate complex technical information to non-technical team members and stakeholders., • Experience with data infrastructure (Snowflake, CDC pipelines, Aurora)., • Experience deploying and managing AI agents in production environments. GTpwF7XxEW

Job DescriptionJob Title: Sr. Security EngineerDuration: 6 months Contract To HireLocation: Looking for someone near our physical NY office (NYC) and datacenter (Weehawken, NJ) who could support on-site physical equipment (powering off a firewall, checking cable connectivity, shipping equipment, configuring equipment that is not remotely accessible). About the PositionClient X is seeking an exceptional Senior Security Engineer to join its IT Security Team in our New York office. This person will join a distributed, highly collaborative team that is responsible for the setup and maintenance of security equipment for a global network. The successful candidate will demonstrate strong technical skills and will have the technical credibility to be a lead participant in the architecture, design, and implementation of complex security solutions including interconnectivity with third party partners and market data providers and DMZ configuration and hardening. In addition to exceptional technical skills, the ideal candidate will demonstrate an ability to provide the highest level of support for troubleshooting incidents. Experience with updating problem records in an incident tracking system is needed and he or she must be comfortable interacting with various individuals or in an ever-changing environment. This person will help to lead projects where close coordination and communication is required with other areas such as the networks, database management, system services, and application development organizations. The ideal candidate will have at least eight years of hands on technical experience with firewall design and implementation with physical and\or virtual Next Generation firewalls and will have at least three years of experience in working with cloud implementations. Experience with automation technologies such as Ansible Tower would also be helpful. Specific Responsibilities Include • Operational management of security platforms including, but not limited to, firewalls, load balancers, web proxies, endpoint security technologies., • Documentation and implementation of firewall policy and rule changes., • Manage physical equipment such as the rack, stack and installation of security equipment in any company location including enterprise data centers, • Assist in supporting the security platforms protecting our enterprise systems and environment, • Assist and train team members in the use of cloud security tools and the resolution of security issues, • Provide technical support for complex, medium to high risk systems problems, • Instill cooperation and/or resolve problems on security related activities that span other areas such as network, database management, applications development, and other systems related areas, • Implement automated approach to delivering key security management processes, • Communicate security risks and solutions to business partners, platform & product teams, • Partner with Security Architecture to evaluate cloud security technologies, provide feedback on designs, and implement processes and integrations of highly complex solutions., • Develop procedures for automating security tasks during build and deployment Skills & Experience Required:, • Bachelor’s degree with a degree in Computer Science, Computer Engineering, EE or comparable discipline preferred, • Eight plus years of hands on firewall design, implementation, and change management experience with physical and\or virtual Next Generation firewalls., • Three plus years of hands on experience working with cloud implementations, • Extensive knowledge with relevant experience in at least five of the following categories:, • Serve as a project lead or a project member on projects of varying size and complexity and risk., • Third party and VPN connectivity architecture and design, • DMZ network segmentation design best practices, • Intrusion Detection/Prevention System tuning, • Security hardening and configuration techniques, • Application firewall design, • Antivirus / Endpoint protection design and implementation, • Patching and vulnerability remediation management, • Web Proxy architecture / design, • Cloud (IaaS, PaaS, and SaaS) hosted security solutions, • PKI and certificate management concepts, • Preferred security certifications:, • PCNSA, • Microsoft Azure security Engineer Associate, • CISSP, • GSEC, • GCIH, • GMON, • Sufficient level of knowledge in other technical areas such as database management and networking so incumbent can represent his/her area on major cross functional problems that span other areas, • Broad knowledge of monitoring tools, • Diagramming using Visio or equivalent tools, • Excellent organizational skills and superior troubleshooting / problem solving ability

Job DescriptionAbout Us Globaledit, a division of CoCreativ, is the leading SaaS platform for creative production workflow management. Our platform empowers top brands, retailers, and entertainment companies to collaborate more efficiently and bring content to market faster. We are expanding our product team to build new features, improve platform usability, and integrate emerging technologies that drive creative productivity. About the Role We’re looking for a Senior DevOps Engineer to take ownership of our cloud infrastructure, deployment pipelines, and system monitoring. This role is ideal for someone who is highly autonomous, thrives in complex problem-solving, and is passionate about building resilient, scalable serverless systems. You’ll play a critical role in ensuring our engineering teams can deploy code safely and efficiently, while continuously improving our AWS environment and DevOps processes. This role requires someone who’s just as comfortable rolling up their sleeves to debug a critical incident as they are stepping back to identify long-term architectural improvements or cost optimization opportunities. What You’ll Do • Own our AWS serverless infrastructure, including Lambda, API Gateway, Step Functions, S3, ECS, EFS, Route 53, and CloudFront., • Design, build, and maintain CI/CD pipelines, primarily in Azure DevOps (or comparable tools like TeamCity, GitHub Actions, etc.)., • Debug and resolve infrastructure issues end-to-end, understanding how data flows through our system and proactively identifying points of failure., • Implement and lead best practices for monitoring, alerting, and incident response using Datadog., • Establish and manage DevOps backlogs, priorities, and tasks independently, without needing constant direction., • Champion operational excellence by driving initiatives that reduce incidents, improve observability, and increase deployment confidence., • Collaborate closely with backend and frontend engineering teams to support deployment, configuration, and production readiness of new services., • Identify opportunities for cost savings and infrastructure right-sizing and drive those initiatives through to completion., • Contribute to documentation, process improvement, and DevOps tooling—leveraging automation wherever possible. Who You Are • 7+ years of DevOps or SRE experience, with at least 5 years in a Senior or Lead role., • Deep knowledge of AWS services, particularly in serverless architectures., • Strong understanding of how data flows through cloud-based systems, and where failures are likely to occur., • Proficient with CI/CD pipelines—experience with Azure DevOps is preferred, but equivalent tools are acceptable., • Skilled in debugging, root cause analysis, and proactive infrastructure monitoring, ideally using Datadog., • Comfortable with coding and scripting (C#, NodeJS, Bash, etc.) and able to build infrastructure solutions hands-on., • Self-starter—you take initiative, organize your work, prioritize effectively, and don’t require micromanagement., • Calm under pressure during incidents, but focused on preventing them through automation and systems design., • Excellent communicator who can explain technical problems and solutions to various stakeholders. Nice to Have • Advanced AWS knowledge and certifications, • Experience with SRE practices, SLOs, SLIs, and service monitoring, • Cost optimization experience in AWS environments, • Previous experience building observability systems with Datadog from the ground up, • Hands-on development experience from ideation to production deployment, • Comfortable coding solutions without over-reliance on AI coding tools, but savvy in using them for productivity when appropriate Benefits The anticipated salary range for this role is $150,000 - $175,000 annually. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience, and skills relative to the defined job requirements. This is a hybrid role with several days per week onsite in our studios in Tribeca and requires flexibility to work in-office and remotely. We offer a competitive benefits package including major medical, dental and vision insurance, FSA, HSA, and employee discounts. Industrial Color is a division of CoCreativ, a family of integrated creative production companies. Industrial Color partners with top brands, agencies, and creative professionals providing a full range of essential production services. For over 30 years, we've led the industry through a culture of innovation, bringing state-of-the-art digital production and post-production solutions to our clients. Our headquarters is based in Tribeca, NY, with offices in Los Angeles and studios in Brooklyn and Los Angeles. Our clients include: L'Oreal, Publicis, Procter & Gamble, Tommy Hilfiger, Absolut Vodka, Nike, Estee Lauder, Amazon.

Job DescriptionAbout the Role A fast‑scaling, AI‑native healthcare platform is seeking a Full‑Stack Engineer with strong Python and React experience. This is a high‑impact opportunity to build foundational systems that directly improve patient access to specialty medications. You'll work in a startup environment where ownership, speed, and collaboration matter. What You'll Do • Design, build, and maintain full‑stack features using Python (backend) and React (frontend), • Develop APIs and backend services that power core workflows in specialty medication access, • Build intuitive, high‑performance interfaces for providers, care teams, and operations staff, • Translate complex healthcare workflows into scalable, elegant software solutions, • Write clean, maintainable, well‑tested code, • Participate in architectural discussions and influence core technical decisions, • Contribute to performance, reliability, and security best practicesWhat You Bring, • 2+ years of professional full‑stack engineering experience in a startup environment, • Strong proficiency in Python (Django, FastAPI, Flask, or similar), • Strong proficiency in React (hooks, state management, modern frontend patterns), • Experience building and consuming RESTful APIs, • Familiarity with relational databases (PostgreSQL, MySQL, etc.), • Ability to thrive in fast‑moving, ambiguous environments, • Strong communication skills and cross‑functional collaborationNice to Have, • Experience in healthcare, health tech, or regulated environments, • Familiarity with cloud infrastructure (AWS, GCP, Azure), • Experience with CI/CD pipelines and Docker, • Interest in AI‑driven systems, intelligent automation, or agentic workflowsWho Thrives Here, • Engineers who want meaningful ownership, • Builders who enjoy solving complex, real‑world healthcare problems, • Candidates with stable, growth‑oriented career paths (not freelance/contract heavy), • Those who want to help define the technical foundation of an AI‑native platformAdditional Details, • Full‑time role, • Partial benefits, • Bachelor's degree required

Job DescriptionAbout Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.Salary Range: US$ 140,000-190,000/yearRole Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Key Responsibilities • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable.Success in This Role Looks Like, • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly.Required Qualifications, • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions.Preferred Qualifications, • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related)Nice-to-Have, • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. I0GDC3XJwj

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job: Technical Lead, Applied AI Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases. You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings. As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions.- Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries.- Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders.- Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives.- Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment.- Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle. About you- You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.- You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.- You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation.- You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.- You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus.- You have strong software engineering skills, including API design, backend/full-stack development, and system architecture.- You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers.- You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent. Ideally, you have:- Contributed to open-source projects, particularly in the LLM or AI space.- Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption.- A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities. Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!What we offer • \uD83D\uDCB0 Competitive salary and equity., • \uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family., • \uD83D\uDC74\uD83C\uDFFB Pension : 401K (6% matching), • \uD83C\uDFDD️ PTO : 18 days, • \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport, • \uD83C\uDFC0 Sport: $120/month reimbursement for gym membership, • \uD83E\uDD55 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger), • \uD83C\uDF0E Visa sponsorship, • \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job Description About the Role: We are seeking an exceptional Senior Full Stack Engineer to join our elite team. In this role, you will play a pivotal part in building both the frontend and backend services for Brkfst. Your responsibilities will extend to collaborating with our data science team to host models and deliver them through APIs. We are looking for engineers who can demonstrate a "bias to ship" mindset and a strong sense of urgency. Our goal is to assemble small teams of highly talented individuals who can independently solve problems and self-organize to achieve our objectives. Responsibilities include but are not limited to; • Full Stack Development: Lead the development of both frontend and backend services for Brkfst's innovative solutions., • RESTful Design: Create robust and scalable APIs following RESTful design principles., • Microservices Architecture: Design and implement microservices architecture to ensure flexibility and scalability., • Collaboration: Collaborate closely with product managers, data scientists, and TPMs to understand requirements and deliver high-impact solutions., • Model Hosting: Work with the data science team to host machine learning models and deliver them through APIs for integration into our products., • Autonomy: Operate with a high degree of autonomy and self-organization to drive projects forward without extensive oversight., • Bachelor's or Master's degree in a related field., • Proven experience as a Full Stack Engineer with a track record of delivering high-quality software., • 5+ years of experience in coding and programming with TypeScript, Python, or similar languages., • 3+ years of experience working with relational databases like MySQL or PostgreSQL., • 3+ years of experience working with front-end JavaScript libraries such as React, Angular, or Vue., • Proficiency in Docker containerization., • Hands-on experience with CI/CD pipelines and tools such as Azure Pipelines, Jenkins, or GitHub Actions., • Knowledge of cloud platforms (AWS, Azure, GCP)., • Experience with Scrum & Agile Methodologies., • Proficiency in RESTful API design and microservices architecture., • Excellent communication skills and the ability to work collaboratively in a cross-functional team., • Self-motivated, proactive, and able to work independently with minimal supervision., • Ability to quickly understand complex problems and devise effective solutions., • Familiarity with Event-Driven Architecture is a plus., • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $141,000-$171,300, • Possesses essential capabilities, • Level 2 - $171,300-$201,600, • Possesses developing capabilities, • Level 3 - $201,600-$231,900 Possesses notable capabilities. • Level 4 - $231,900-$262,200, • Possesses strong capabilities, • Level 5 - $262,200-$292,500, • Possesses advanced capabilities. About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Paseo de la Reforma 296, Piso (Floor) 25, Oficina 111, Ciudad de México, CDMX 06500, México

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job DescriptionPosition Summary The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays. Job Responsibilities: • Standardizing Azure Security best practices, processes, and procedures., • Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation., • Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats., • Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response., • Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them., • Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR)., • Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc., • Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access, • M365 Compliance and Security Centers, • Collaborating with team members to develop and document security standards and policies that align with industry’s best practices., • Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures., • Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation., • Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team., • Participation in security tabletop exercises.Required Experience:, • Very strong hands on 5-10 years' experience in Cloud Information Security and AI Security Engineering., • Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security., • Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience, • Strong Purview Environment Experience, • Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate., • Experience in some specific vertical industry (Healthcare) preferred., • Documentation of security tools, deployment configuration, incident reports, etc., • CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred., • Ability to communicate technical information in a clear manner, both written and verbally, to end users, • Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred., • Availability to work nights and weekends during (un)planned outages and other special circumstances, with 24/7 accountability., • Availability to enter on call rotation. FZS0onPR06

Job DescriptionCloud and Storage Engineer Employment Type: Full-Time, Experienced Department: Information technology CGS is seeking a Cloud and Storage Engineer to develop and implement full-scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in support of a large federal agency. The ideal candidate will be able to excel in a fast-paced environment and successfully produce standards and implementation processes for storage configuration, optimization, replication, and storage security. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Develops and implements full scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in a multi-enterprise, complex, geographically dispersed solution; ranging from single servers to multi-tier, multi-platform solutions connected through fiber channel to multiple EMC Storage Arrays with petabytes of storage capacity. - The SAN architecture considers the following aspects relating to SAN: performance, capacity, replication, disaster recovery, backup disk storage, and backup & recovery.- Defines and sets a strategic direction for the SAN and backup environment. - Designs and implements customer storage requirements into an enterprise solution that will be developed, installed, configured, and deployed in the environment. - Provides overall storage and backup capacity planning, and utilization reporting. - Produces standards and implementation processes for storage configuration, optimization, replication, virtualization, storage security, and disaster recovery.- Troubleshoots complex SAN infrastructure issues and works with customers both internal and external to effectively resolve issues.- Reviews, plans, and participates in executing regularly scheduled maintenances and/or projects on the storage infrastructure. - Develops technical documentation, tiered storage and storage-as-a-service roadmaps, presentations, and cost models.- Responsible for managing, maintaining, and developing the SAN infrastructure as part of a team to ensure 24/7/365 uptime. - Architects and maintains private cloud environment. Professional experience with Gov Cloud (AWS, Azure, etc.) and hybrid cloud architectures desired. - Performs security related tasks which include, but are not limited to, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications:- Bachelor’s in computer science, business, or other relevant discipline.- Eight (8) years of relevant work experience may be substituted for degree requirement.- Must have significant, direct experience in Dell EMC products such as OneFile System (OneFS), MDS SAN switches, storage arrays (Unity, Isilon, VNS, and Data Domain), and RecoverPoint. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We are seeking a highly skilled Sr. Engineer, IT Security to lead enterprise-wide cybersecurity initiatives and strengthen our security posture across on-premises and cloud environments. This role involves designing and implementing advanced security solutions, including Zero Trust, DLP, Cloud Security, Network Segmentation, IAM, and Security Automation. The ideal candidate will collaborate with cross-functional teams to identify risks, develop mitigation strategies, ensure regulatory compliance, and proactively defend against evolving threats while safeguarding our systems, data, and infrastructure.Responsibilities: • Design, build, deploy, and maintain enterprise security technologies and solutions aligned with business objectives, compliance requirements, and the cybersecurity program., • Develop, document, and enforce security policies, standards, and procedures based on frameworks such as NIST, CIS, ISO 27001, and SOX while advancing overall security maturity, governance, and processes., • Lead strategic security initiatives, including Zero Trust architecture, Data Loss Prevention (DLP), Cloud Security, Network Segmentation, IAM, Endpoint Security modernization, and security automation., • Manage and improve email security, DNS security, and other protective controls to defend against phishing, malware, data exfiltration, and domain-based threats., • Lead vulnerability management programs and drive remediation efforts, providing visibility into risks and progress to stakeholders., • Oversee incident response lifecycle—detection, analysis, containment, remediation, post-incident review—and continuously enhance disaster recovery and business continuity plans., • Monitor and analyze security events and network activity (e.g., traffic analysis, host behavior, forensics, kill chain, Windows event analysis), tuning tools, and event correlation for accurate threat detection., • Collaborate with IT, DevOps, and digital teams to embed security into system design, application development, deployment pipelines, and cloud infrastructure., • Evaluate and review vendor and partner security practices to ensure alignment with organizational standards., • Produce regular security dashboards and metrics to report on incidents, threats, and operational effectiveness., • Lead security awareness training, mentor junior engineers, and guide cross-functional teams on secure design principles and best practices., • Stay current on emerging threats, vulnerabilities, and technologies to enhance enterprise resilience.Requirements:, • Bachelor’s degree in Computer Science, Cybersecurity, or related field; Master’s preferred., • 7+ years of experience in information security engineering, architecture, or operations., • Expertise in cloud security (AWS, Azure, GCP), data protection, IAM/SSO/MFA, email and DNS security, and secure network architecture., • Hands-on experience with key security technologies: firewalls, VPN, NAC, EDR/MDR, IPS/IDS, SIEM, DLP, vulnerability management, and email security platforms (Proofpoint, Mimecast, Microsoft 365 Defender)., • Strong understanding of Zero Trust, endpoint protection, DevSecOps, security automation, and scripting (Python, PowerShell, Bash)., • Proven ability to lead incident response, risk assessments, threat detection, and remediation efforts., • Experience implementing DNS protection solutions (Cisco Umbrella, Cloudflare, Infoblox, Valimail)., • Knowledge of security frameworks and compliance standards: NIST CSF, CIS Controls, ISO 27001, SOX., • Demonstrated success in leading security awareness programs, mentoring team members, and advancing security program maturity., • Relevant certifications preferred: CISSP, CISM, CISA, GIAC, Microsoft Security certifications, AWS Security Specialty, Azure Security Engineer Associate., • Strong communication, leadership, and ability to manage multiple security initiatives.Must Have:Strong Technical Security Foundation & Architecture, • Deep knowledge of network, cloud, and endpoint security., • Hands-on experience with firewalls, SIEM tools (e.g., Splunk, Sentinel), EDR/XDR, IAM, and vulnerability management., • Understanding of encryption, authentication, and secure architecture design.Incident Response & Threat Management Skills, • Ability to detect, analyze, and respond to security incidents effectively., • Skilled in log analysis, threat hunting, and forensics., • Familiarity with MITRE ATT&CK, common attack techniques, and SOC operations.Risk Assessment & Communication, • Strong ability to assess vulnerabilities, prioritize risks, and implement mitigations., • Can translate technical findings into business impact and communicate clearly with both technical and non-technical teams.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Site Reliability Engineer - this is a fully remote role for US or Europe based candidates (as long as they can work EST hours) We are a fast-growing software company supporting and developing Hedera, an open-source, proof-of-stake, EVM-compatible public ledger built for enterprise and Web3 use cases. Hedera is governed by a global council of industry-leading organizations across multiple sectors and regions, ensuring long-term stability, decentralization, and sustainability. About the Role We are hiring a Senior Site Reliability Engineer to join the HashSphere engineering team. HashSphere is a greenfield, enterprise-focused distributed ledger platform built on Hiero, designed for private and consortium deployments with a strong emphasis on security, privacy, and scalability. This role is hands-on and high impact. You will own the design, deployment, and reliability of mission-critical, multi-region infrastructure used by large organizations across financial services, supply chain, and healthcare. You will partner closely with product, security, and platform leadership to shape architecture, reliability strategy, and operational standards from the ground up. This is not a support role. We are looking for someone who has operated real systems at scale, measured outcomes, and taken end-to-end ownership. What You’ll Do * Design, build, and operate highly available, multi-region distributed systems with clear recovery strategies and tested RTO/RPO. * Partner with the Head of SRE to define the reliability roadmap, platform architecture, and operational standards. * Own large-scale Infrastructure as Code using Terraform, including reusable modules, multi-account patterns, and policy guardrails. * Operate and scale Kubernetes environments (EKS, GKE, or AKS) using GitOps practices (ArgoCD), Helm, and strong RBAC and network policies. * Build and maintain secure CI/CD pipelines, including blue/green and canary deployments, promotion and rollback strategies, and artifact integrity (SBOM, signing). * Define and improve SRE practices, including SLOs, error budgets, observability, and measurable reductions in MTTR/MTTA. * Work closely with product and engineering teams to translate customer and business requirements into reliable, secure platform services. * Contribute to the operational support and continuous improvement of customer-facing HashSphere deployments. Required Qualifications * 7+ years of experience in SRE, platform engineering, or infrastructure engineering operating production distributed systems. * Strong multi-cloud experience (AWS, GCP, or Azure), with SME-level depth in AWS or GCP. * Proven experience running multi-region production systems, including disaster recovery testing, runbooks, and real incident ownership. * Deep, hands-on experience with Kubernetes at scale (EKS/GKE/AKS), including GitOps workflows and production-grade security controls. * Extensive experience with Terraform-first Infrastructure as Code in large, real-world environments (not POCs). * Strong security and compliance mindset, including Zero Trust principles, secrets management (Vault or cloud-native equivalents), and exposure to regulated environments (PCI, SOC 2, HIPAA, NIST). * Comfortable owning systems end to end, with clear metrics and outcomes to show impact. Nice to Have * Experience with distributed ledger or blockchain systems, particularly private or consortium deployments. * Familiarity with Hedera services such as HCS, HTS, Hedera SDKs, or the Smart Contract Service. * Understanding of EVM-based systems and smart contract tooling (Solidity, Hardhat). * Experience operating active-active, globally distributed architectures. * Prior experience supporting financial services or other highly regulated industries. Compensation & Package Equity & Tokens Performance Bonuses Health insurance & 401k for US employees only.

Job Description Maxana is seeking an experienced Backend Engineer for a confidential client — a well-funded AI platform company used by ML teams globally. In this role you will own features end to end across APIs, CLI tooling, billing systems, and platform integrations. The team is small and senior, the engineering bar is high, and you will work directly with product and engineering leaders. Key Responsibilities • Write clean, efficient, production-grade code in Go (Golang), • Build and scale APIs, CLI tools, billing systems, and security integrations, • Set technical direction for large projects alongside engineering and product leadership, • Evaluate and strengthen technical architecture, tooling, and processes, • Champion software quality, drive continuous delivery, and proactively reduce technical debt, • Mentor engineers on system design and operating in high-uncertainty environments Requirements • 5+ years of production Go experience in a SaaS environment, • Broad knowledge of backend and frontend systems — APIs, CLIs, billing, security protocols, • Experience with cloud platforms: AWS, GCP, or Azure, • Familiarity with containerization — Docker and Kubernetes a strong plus, • Prior startup or high-growth company experience required, • Competitive base salary + equity ($110,000–$270,000 range), • Medical, dental, and vision, • Flexible paid time off, • Learning and development stipend, • Working for a globally recognized company

Job Description TITLE: Senior Intune Mobility EngineerLOCATION: Hybrid - New York or ChicagoDURATION: 6 monthsPosition SummaryCompany X is seeking a highly motivated Senior Intune Mobility Engineer to join the Desktop Engineering Team. The candidate will be responsible for the 3rd party application lifecycle, automating workflows, documentation, enterprise workstation management, project management and level 3 support.This person will be required to use exceptional communication skills to interact with geographically distributed teams of varying knowledge levels, while collaborating on incidents and projects. This position can be in Chicago or NY.Essential Job FunctionsThe Senior Intune Mobility Engineer’s primary responsibilities include: • Lead the design, implementation, and management of Microsoft Endpoint management/Intune solutions., • Lead architecture and design sessions for Mobile applications, planning for both business and technical requirements and assist with product roadmap development., • Implement system security requirements defined under Information Security standards., • Work on projects that include multi-tier application review, onboarding, and maintenance., • Develop and execute test plans to check infrastructure and system performance., • Maintain SME level knowledge on various mobile and desktop products., • Work with application vendors regarding application compatibility for upgrades and migration projects, including being a liaison between vendors and IT staff., • Schedule upgrades and migrations with users, maintain change management data, complete the upgrades in deployment system, facilitate and track feedback from the users - post-rollout., • Create end user documentation and training material for IT Staff., • Incident & service management; logging of requests, support calls and escalating where appropriate into the Service Management tool., • Share a rotation / on-call nights and weekend support.Preferred Qualifications, • Expert level troubleshooting skills, able to quickly identify client issues, and be able to conduct in-depth diagnostics on Microsoft Intune products and services., • Experience with troubleshooting and configuring device connectivity., • Strong understanding of generally accepted system administration methodologies, tools, and techniques, and desire to instill these practices in both individual and teammates’ work., • Knowledge in MAM (Mobile Application Management), Apple Business Manager (ABM), VPP / DEP, and Android Zero Touch., • Active Directory concepts such as Kerberos, LDAP, Certificates and Security Groups., • Understanding of networking, firewalls, and common datacenter infrastructure., • Understanding of Industry best practices for mobile security and separation of corporate and personal priorities., • Good written documentation skills and demonstrable experience of documenting systems and procedures., • Passion for providing outstanding support for inbound incident tickets, as well as foresight to assess risk and scale., • Ability to maintain skillset up to date as the product evolves continually., • Excellent interpersonal and communication skills, including an ability to interact with users of varying technical skill levels., • Strong project management skill with some experience leading projects., • Ability to work independently and without the need for supervision, as well as collaboratively within the team and across various IT groups and business units., • Knowledge of Cloud Identity (Azure Active Directory, AAD Sync, Role-based access control)., • Knowledge of BlackBerry UEM., • Knowledge of Certificate and Certificate Chain Authority., • Knowledge of SQL queries and ability to create ad-hoc custom reports., • Experience in Financial sector preferred.Basic Qualifications, • Bachelor’s degree in Computer Science or Management Information Systems., • Minimum of 5 years of experience working in a large implementation of 1000 or more mobile devices., • Minimum of 2 years with Microsoft Intune mobile device management., • Minimum of 3 years of technical experience supporting an industry-leading MDM solution (Intune, AirWatch, Blackberry, MobileIron).

Job Description Job Title: AI/ML Engineer Job Type: Full-Time Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing toproprietary AI infrastructure, youll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. Youll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling. Key Responsibilities: • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications., • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain., • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock., • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference., • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions., • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD)., • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration., • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments., • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain., • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock)., • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes., • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines)., • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise., • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques., • Prior exposure to government or highly regulated cloud environments and compliance standards.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). About the Role We're hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you'll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally. Who You Are • 3–5 years of relevant experience in a similar role, • Strong programming proficiency in Python, • Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)., • Familiarity with cloud platforms (AWS, GCP, Azure), • Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate), • Strong experience with Linux/Unix, • Excellent communication and presentation skills, both written and verbal, • Ability to break down and solve complex problems through customer consultation and execution, • Background in robotics, • TypeScript experience, • Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM, • Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes, • You love collaborating with top AI teams to solve real-world ML and GenAI challenges, • You're curious about how to optimize AI workflows at scale, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Platform and Product Teams. You will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our product and platform systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards. As a Staff Software Engineer at Maven, you will: • Lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing needs of Maven's platform and backend teams., • Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems., • Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles., • Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards., • Mentor and guide and mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience., • Minimum of 8 years of experience in backend development and platform architecture, with a proven track record of building highly scalable, performant, and reliable systems., • Experience designing and implementing complex distributed systems, including microservices architecture, containerization, and orchestration., • Strong expertise in developing cloud-based solutions, with hands-on experience in one or more cloud platforms (AWS, Google Cloud, Azure, etc.), including infrastructure as code and serverless architectures., • Proficiency in multiple programming languages (Java, Python, Go, etc.), • Experience building distributed systems with microservices and relational and nosql databases., • Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles., • Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment. The salary range for this role is $225,000 - $260,000 per year. You may also be entitled to receive a bonus, equity, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, and remotely via San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .