19 jobs found

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges. We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: • 100% paid employee premium for healthcare, vision and dental plans. • 10% 401k benefit. • Generous PTO + 10 paid holidays. • Education/training allowances. Anticipated Salary Range: $115,199.00 - $145,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is a cutting-edge technology company that is dedicated to developing innovative software solutions for our clients. We are currently seeking a talented and experienced Software Engineer to join our team to help build foundational AI integration frameworks and agentic platforms. As a Software Engineer focused on AI Integration, you will be responsible for designing, developing, and implementing the agentic platform for our proprietary Data Lake tool, JCRSD. This role is primarily focused on Python-based components and requires strong container orchestration skills to ensure seamless deployment. This role is not focused on training foundational AI models from scratch. Instead, you will take industry best practices, open-source capabilities, and large language models (LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. If you are a self-motivated, creative software engineer who loves Python, Kubernetes, and treating AI as a complex software integration problem, we would love to hear from you. Level Essential Job Responsibilities Design and develop Python-based components for our core agentic platform. Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs. Collaborate with cross-functional teams to help them expose their Java-based APIs to our AI agents. Implement strict enterprise AI guardrails, ensuring data privacy, sensitive data scrubbing, prompt injection defenses, and output validation to meet stringent security requirements. Maintain an inquisitive nature, responsiveness, and excellent testing skills (including automated testing pipelines for non-deterministic AI outputs). Possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines in a fast-paced, small-business environment. Other duties as assigned. Minimum Qualifications Security Clearance - Must obtain and maintain a U.S. Government Security Clearance, but not required on day one; U.S. Citizenship required. Can also consider candidates with current Secret or TS level clearance. At least 5 years of experience in Software Engineering, with a strong focus on Python backend development and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience. Kubernetes Proficiency: Demonstrated, hands-on experience deploying and managing containerized workloads in Kubernetes (K8s). Applied AI Experience: Hands-on experience integrating commercial LLM APIs (e.g., OpenAI, Anthropic) or open-source models into production backend applications. AI Concepts: Demonstrated understanding of modern applied AI concepts such as prompt engineering, agents, function-calling/tool-use, and Retrieval-Augmented Generation (RAG). Experience in designing enterprise APIs, RESTful web services, and Microservices architecture. Experience with configuration management tools (e.g., Git, CI/CD pipelines, Docker). Comfortable working on a Linux command line. Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Current Clearances: Active Secret or Top Secret clearances are a strong plus. Java Interoperability (Plus): Familiarity with Java frameworks (e.g., Spring) or Java-based software capabilities to assist disparate teams in connecting their components to the agent platform. Familiarity with Python-based AI integration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Experience with Vector Databases, semantic caching, and AI observability tools. Experience with NiFi, Kafka, and cloud-based infrastructure (AWS, Azure). Experience in SQL databases (e.g., Postgres, MySQL), distributed databases, or NoSQL databases. Prior experience or familiarity with Big Data Platforms or Data Lake architectures. DoD 8140 / 8570 IAT Level II compliance certifications may be required in this position as directed by the customer. We have many more additional great benefits/perks that you can find on our website at .

Job Description JOB SUMMARY: The Senior Software Engineer is responsible for designing, developing, and maintaining scalable software applications, APIs, and enterprise systems that support business objectives. This role serves as a technical leader within the engineering team, helping drive architecture decisions, engineering best practices, secure development, production reliability, and mentorship of junior and mid-level engineers. This position requires strong full-stack engineering experience, with emphasis on modern .NET APIs, Angular-based web applications, SQL Server-backed systems, secure service integrations, and maintainable enterprise software. Responsibilities Design, develop, test, and deploy scalable software applications, services, and APIs. Build and maintain ASP.NET Core REST APIs that orchestrate downstream enterprise services, SQL Server databases, and internal or third-party integrations. Develop and support Angular/TypeScript web applications using modern frontend patterns, reusable components, routing, forms, and service-based API integration. Lead technical design discussions and contribute to architecture decisions across frontend, backend, data access, and integration layers. Write clean, efficient, secure, and maintainable code following established engineering standards and design patterns. Collaborate with product managers, architects, QA, business stakeholders, and other engineering teams to define requirements and deliver solutions. Review code, provide technical guidance, and mentor junior and mid-level engineers. Troubleshoot and resolve complex defects, integration issues, performance problems, and production incidents. Implement resilient service integration patterns, including retry strategies, timeout handling, structured error handling, and graceful downstream failure handling. Maintain secure authentication and authorization flows using OAuth/OIDC, JWT claims, role/permission checks, and secure configuration practices. Contribute to CI/CD pipelines, automated testing, deployment readiness, and DevOps practices. Support production reliability through structured logging, correlation IDs, metrics, distributed tracing, and other observability practices. Document technical designs, processes, API contracts, and system architecture. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The mission of Agentic WorkSpaces is to enable AI agents to work the way people do. Across the industry, agents are becoming digital workers. Like every team member, they need identity, permissions, governance, and a trusted place to do their work. The Agentic WorkSpaces Client team builds the front door to that place: the client software people use to securely access and operate the desktop and web applications their businesses rely on, and the software AI agents will use to do the same. We build the client software that runs on customer endpoints across major operating systems and browsers, and we own critical parts of the connection and user experience for Amazon WorkSpaces, a highly scaled system that delivers remote desktops and streamed applications to millions of end users every day. We are evolving that same client experience to carry agentic workloads, which require secure access, enterprise permissions, governance, observability, and human oversight. Learn more: We are looking for a Software Development Engineer to design, build, and operate customer-facing capabilities across native and web clients, advancing the client that enterprise agents will work through while supporting a system that millions of people depend on today. Industry consensus points to a growing share of cloud desktop workloads becoming agentic in the coming years. We build the client software those desktops are reached through, which is exactly why the Agentic WorkSpaces Client team can lead that shift. Today, most of the team's work is building and running the clients our users rely on; the agentic share of the roadmap grows from there. Your work includes secure session connectivity, client lifecycle, cross-platform architecture, user experience, performance, software updates, operational telemetry, and integrations supporting human and agentic workflows. You will own features from design through production, collaborate with teams across AWS, solve complex issues in customer-managed environments, and maintain a high bar for security, reliability, and operational excellence. Agentic WorkSpaces offers a combination most roles don't: the early build-out of agent infrastructure on the scale of a mature AWS service. You will not be starting from a blank page, and you will not be maintaining a system in stasis. You will shape the evolution of Amazon WorkSpaces by extending a proven system rather than rewriting it. The problems span operating systems, web technologies, networking, security, and distributed services, and your work will directly influence how people and AI agents securely interact with enterprise applications. We are passionate about our customers and love to solve their most critical problems. If you enjoy hard problems that span the client and the cloud, and want to work with a talented, inclusive team that prides itself on a great work environment, join us. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience leading large, fast-moving projects - Experience handling ambiguous or undefined challenges through strong problem solving abilities - Experience architecting, securing, and operating Amazon Web Services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Description At VIDA, we're passionate about driving positive change in lung and respiratory care through thoughtful, innovative technology. We're committed to reshaping the way organizations and physicians approach pulmonary medicine with powerful artificial intelligence and image analysis. Our talented team works hard every day to design cutting-edge solutions that truly improve patients' lives around the world. We're a small, fast-growing company with big benefits and the kind of culture that makes you smile. All we're missing is YOU! If you're looking to make a difference and channel your expertise into meaningful work that's changing the world for the better, we want to hear from you. Role Overview VIDA is seeking a technical, systems-oriented Release Manager to lead and continuously improve how software changes move safely and efficiently from development into production across VIDA's cloud-based products and services. This role goes beyond scheduling releases or manually coordinating deployments. You own and improve the release operating model-the processes, automation, controls, telemetry, and cross-functional practices that enable engineering teams to release independently while protecting product quality, customer data, production reliability, security, and VIDA's regulatory and compliance obligations. Operating within a healthcare and life-sciences SaaS environment, this role partners closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Quality, Security, and Compliance to establish a modern, risk-based software delivery model. You will also be VIDA's voice on AI-enabled software delivery process, making sure the added velocity from AI-assisted engineering is supported by effective testing, review, traceability, security controls, observability, and production safeguards. Key Responsibilities Release Strategy and Delivery Governance Define and continuously improve VIDA's software release strategy, standards, governance model, and success measures. Evolve VIDA toward a continuous, automated, and risk-based delivery model that minimizes unnecessary manual coordination and approvals. Establish release classifications based on clinical and customer impact, data sensitivity, reversibility, and blast radius. Define proportionate controls for each level of release risk, including when changes can proceed automatically and when additional testing, review, progressive delivery, or approval is required. Establish practical emergency-change and exception processes that preserve accountability and traceability without slowing critical remediation. Use production incidents, near misses, audit findings, and delivery friction to drive continuous improvement. CI/CD, Progressive Delivery, and Production Safety Partner with Engineering, Architecture, and Cloud Operations on paved-road CI/CD - trunk-based development, small batch sizes, reusable workflows, and standard deployment patterns. Agile processes that infuse automated quality, security, compliance, and operational checks into the software delivery lifecycle. Ensure release evidence-including source traceability, peer review, testing, security validation, deployment history, approvals, and post-release results-is reliable, searchable, and audit-ready. Align the release model to support decoupling of deployment from release using feature flags, canary and staged rollouts, and blue/green deployments, so teams ship continuously while customer exposure stays under separate control. Establish measurable release-health criteria and effective pause, rollback, forward-fix, and feature-disablement practices. Work with engineering teams to ensure critical services have clear operational ownership, observability, rollback strategies, and incident-response paths. Strengthen software supply-chain controls - dependency and secrets management, artifact integrity, SBOMs, and infrastructure-as-code validation. AI-Assisted Software Engineering Help define and operationalize VIDA's standards and guardrails for responsible AI-assisted software development. Ensure AI-assisted and AI-generated code remains subject to appropriate human ownership, peer review, testing, security validation, architecture standards, traceability, and production-readiness requirements through established processes. Partner with Security, Privacy, Quality, and Compliance to establish processes that protect source code, credentials, PHI, PII, customer information, and other sensitive data when AI development tools are used. Measure the impact of AI-assisted engineering on development velocity, quality, security findings, change failure rates, rollback frequency, and production incidents. Help VIDA increase engineering productivity through AI without weakening quality, security, regulatory compliance, or accountability. Delivery Performance and Continuous Improvement Establish a balanced software-delivery scorecard covering velocity, quality, reliability, security, compliance, and customer impact. Track and improve the four DORA metrics - deployment frequency, lead time, change failure rate, and recovery time - alongside rollback rate, escaped defects, and pipeline reliability. Use delivery data to identify systemic constraints including unreliable tests, slow environments, excessive manual steps, ineffective approvals, and recurring sources of production failures. Provide engineering and executive leadership with clear visibility into software delivery health, release risk, AI-development adoption, and improvement opportunities. Lead improvement initiatives that reduce release friction while increasing engineering autonomy and production reliability. Cross-Functional Leadership Partner with Engineering leaders and technical leads to establish clear service ownership and accountability for production changes. Work with Product Management on feature rollout, customer communication, staged availability, and release readiness. Collaborate with Quality Engineering to strengthen automated testing, risk-based validation, and quality signals. Ensure software-delivery practices meet VIDA policies, customer obligations, and applicable regulatory requirements. Support customer assessments and audits by maintaining defensible release and change-management evidence. Run the release capability as a platform product - treat engineering teams as your customers, measure adoption, and never become a centralized release bottleneck. Required Qualifications 5+ years of experience in software engineering, DevOps, release engineering, SRE, platform engineering, quality engineering, or a related technical delivery discipline. 2+ years leading or materially improving release management, CI/CD, DevOps, or production-readiness practices in a SaaS or cloud environment. Strong understanding of processes behind CI/CD, Test Driven Development, and infrastructure as code. Experience with progressive delivery approaches including feature flags, staged rollouts, canary or blue/green deployment, health-based promotion, and rollback. Strong understanding of software delivery metrics, observability, incident response, and operational reliability. Demonstrated ability to design risk-based processes that improve engineering velocity while maintaining production safety. Strong systems thinking and organizational-change experience leveraging Agile delivery methodologies such as ScrumBan, Kanban, SAFe, etc. Ability to engage credibly with engineers on technical details that impact process, releases, and messaging to internal/external stakeholders. Preferred Qualifications Experience in healthcare, life sciences, medical software, clinical trials, or another regulated SaaS environment. Familiarity with frameworks or requirements such as SOC 2, ISO 27001, HIPAA, GDPR, FDA 21 CFR Part 11, GxP/GCP, NIST, or OWASP. Experience with AWS, containerized or serverless systems, infrastructure as code, and modern DevOps tooling. Experience building reusable CI/CD workflows, internal developer platforms, policy-as-code controls, or developer self-service capabilities. Familiarity with software supply-chain security, vulnerability management, SBOMs, artifact integrity, and secrets management. Experience using or governing AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Cursor, or similar technologies. Experience supporting enterprise customer security assessments, compliance reviews, or external audits. Reporting Relationship This role reports to the VP of Engineering and works closely with Engineering, Architecture, Cloud Operations, Product Management, Data Science, Software Quality, Security, Privacy, Compliance, Customer Success, and Technical Support. Engineering teams and service owners retain accountability for the quality and operation of their services. The Release Manager provides the strategy, processes, standards, visibility, and oversight that enable those teams to deliver software safely and efficiently. All VIDA employees expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. VIDA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex . click apply for full job details

Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: As our new software engineer in CrowdStrike, you'll contribute to the LogScale application for observability, log management, and security events. As a member of the new US based engine team you will focus on the LogScale engine that makes LogScale scale by developing new features as well as improving existing functionality. This is a highly distributed system that ingests Petabytes of data per day through both our SaaS and On Premise offerings. You will be joining a distributed team of highly collaborative engineers who share a strong passion for the product. In this role you will get a chance to work on hard engineering problems that do not have well-defined solutions. You will become one of the go-to experts of the LogScale engine, and will have a broad understanding of the entire LogScale architecture. Teams in LogScale have a great amount of autonomy, and own a part of the LogScale experience, from ideation and development to deployment and feedback. This includes ensuring high quality of the features they deliver, by writing automated tests, and performing manual tests. Moreover, we do not just throw over features to our operations teams, but we constantly observe and monitor new features in production, with LogScale dashboards of course. An important part of our work is making sure that LogScale continues to be scalable in terms of efficiently ingesting and digesting events, querying for the right data, while also ensuring the stability of the clusters. Some of the critical elements that the team is working on improving is the query execution engine that makes the LogScale queries be lightning fast. The team is also working with our internal "global" data storage using Kafka and the storage engine that ensures data is stored in the right number of replicas as well as on the correct nodes and in bucket storage such as S3. You will be playing a crucial role in ensuring that LogScale can continue with its successful durability and high availability. This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. What You'll Do: Work in a team of friendly, trustworthy and knowledgeable colleagues Work on cross-team platform-level initiatives and projects Participate in scoping, designing and developing of new features and lead delivery of solutions to open-ended problems Contribute to moving the scalability of our LogScale engine to the next level Develop the LogScale backend in Scala and extending our engine to keep LogScale scale with increasing ingest load while ensuring high availability Communicate technical decisions through design documents, technical talks and improving our internal documentation. Provide technical advice on decisions, and research and propose new technologies Lead delivery of new solutions within the team and mentor team members through code reviews, pairing, documentation, design reviews and technical guidance Monitor and followup on features released to customers on-prem and on cloud Troubleshoot critical production issues both on our own Software as a Service customers and our on-premise customers What You'll Need: Must be a U.S. Citizen or US Permanent Resident. A passion for or personal interest in distributed systems and curiosity of how our running systems are doing Experience in software development in general and the ability to juggle making pragmatic tradeoffs between short-time delivery needs vs long-term product goals Experience in contributing to broad technical leadership in products or services Fluency in both functional and object oriented programming and the ability to pick up new languages on the go A can-do attitude, and that you thrive collaborating in a team and are not afraid of taking on responsibilities Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Experience programming in Scala Experience with commercial clouds (AWS, Azure, GCP) Experience with Kafka Hands on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $100,000 - $145,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.

Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Falcon Cloud Security (FCS) is a key product area for CrowdStrike. We're extending CrowdStrike's mission of "stopping breaches" into the public cloud and cloud-native workloads. CrowdStrike's FCS Cloud Security Posture Management (CSPM) offering provides visibility into your entire cloud infrastructure, continuous monitoring for misconfigurations, and proactive threat detection. As a member of the Falcon Horizon control plane group, you will be part of a fast-paced team taking on cloud-scale challenges and raising the bar on Cloud Security Posture Management. This role is hybrid, requiring a minimum of 3 days per week on-site from our New York City office. What You'll Do: Develop Go-based microservices to support new and existing features which help detect cyber attacks, as well as RESTful APIs to support and expand our industry leading CSPM platform. Take end-to-end ownership, both individually, and as part of a team, for the delivery of projects of increasing complexity. Relentlessly pursue quality by following engineering best practices including: Appropriate testing paradigms, effective peer code reviews, logging, monitoring, and resilient architecture patterns. Utilize Kafka for event-driven workflows; and Cassandra, ElasticSearch, or PostgreSQL for data storage. Provide on-call monitoring and operational & customer support for production services owned by our team. Reflect thoughtfully to improve architecture, models, user experience, performance, and stability following rapid prototyping and fast-paced decision making. Ultimately, develop a platform to help secure the entire lifecycle of cloud workloads for CrowdStrike customers. What You'll Need: U.S. citizen or Permanent Resident and work solely from U.S. soil Experience programming in at least one object-oriented programming language, featuring strong types. We write code in Golang. Learn it on the job with us! Experience developing and consuming RESTful API web services. Experience working with cloud providers such as AWS, Azure, GCP, and Oracle Cloud. Experience with infrastructure-as-code tools such as CloudFormation, Terraform and Azure Templates. Hands-on experience deploying, configuring, and using Docker containers in Kubernetes environments with Helm. Experience using a message queue. We use Kafka and SQS. (e.g., defining messages, estimating message sizes and rates, monitoring lag) Experience using RDBMS databases, and accompanying knowledge of SQL, such as Postgres. Strong debugging skills: ability to spot design flaws, race conditions and performance bottlenecks in complex architectures. Bachelor's degree or equivalent work experience. Proficiency with common algorithms, data structures, code whiteboarding. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: Prior industry experience or certification related to CNAPP, CSPM or Cloud Security. Experience with application observability incl. Prometheus metrics, Splunk logging, Grafana dashboards, and PagerDuty alerts. Experience handling production challenges related to Postgres, Kubernetes, and Kafka. Understanding data structures and various APIs, for full-text search of application logs and event data in Elasticsearch. Experience with Cassandra, CQL, and its wide-column store database. Experience using graph structures (ie. nodes, edges), graph data, and graph databases. This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements. Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.

Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: Falcon Vulnerability Assessment is the industry's first scan-less endpoint vulnerability assessment solution, delivering real-time, zero-impact assessments of endpoint security posture. Falcon Vulnerabiity Assessment adds preparation and readiness to the unparalleled prevention, detection and response provided by the Falcon platform, resulting in a stronger security posture and unprecedented breach protection. As part of CrowdStrike's cutting-edge Falcon Exposure Management pillar, you'll be at the forefront of cybersecurity innovation, elevating our industry-leading "stopping breaches" mission to unprecedented levels of sophistication and visibility. You'll architect and build the foundational risk intelligence platform that powers next-generation security insights, leveraging advanced algorithms, AI, and machine learning to deliver comprehensive visibility into risk compounding, attack path analysis, and posture scoring across hybrid environments-spanning hosts, cloud infrastructure, and identity assets. The core focus of this specific role is developing robust backend services that seamlessly ingest massive data streams, execute complex risk calculations, and deliver intelligent remediation automation. Working primarily with Golang microservices architecture and multiple database ecosystems, you'll build scalable solutions that protect organizations worldwide from evolving cyber threats. As a technical leader, you'll drive end-to-end product delivery, architect scalable solutions, and collaborate with cross-functional stakeholders to define priorities and scope. Your expertise will directly influence the cybersecurity landscape, protecting organizations from sophisticated threats while advancing the state of the art in exposure management This role also requires reasoning and judgment over large volumes of continuously changing data, at the scale CrowdStrike operates - work that conventional rule-based systems have only partially addressed. We're treating agentic reasoning as a core architectural element rather than a feature layered onto an existing system, which means real decisions are still open: where reasoning belongs, where determinism is the better answer, and how to make either hold up in production. This role is hybrid and attached to our Sunnyvale, CA office, requiring 2-3 days in office. What You'll Do: Design and build high-throughput, low-latency backend services and APIs in Golang and Python Architect and operate cloud-native infrastructure across AWS and GCP at scale (S3, SQS, Kubernetes/KEDA, and more) Build and maintain Kafka-based event streaming pipelines for near-real-time vulnerability event processing Drive backend engineering and process automation across the platform Partner with security researchers and platform teams (Intel, EPP) to deliver integrated capabilities Own service reliability - performance profiling, incident response, and root cause analysis on time-sensitive production issues Continuously re-engineer for improved architecture, performance, and stability Write high-quality, well-tested, production-ready code with a focus on observability and operability Build agentic capabilities into the product - systems that reason over real data, use tools, and produce explainable results customers can act on Take AI capabilities from prototype to production, owning latency, cost, correctness, and evaluation Design the guardrails and policies that make autonomous reasoning safe for enterprise customers What You'll Need: 10-15 years of backend engineering experience. Solid experience with Golang/Java in production systems. Strong understanding of distributed systems, microservices, and event-driven architectures. Hands-on experience with AWS cloud services (S3, SQS, and similar) Experience with Kafka or other event streaming platforms. Strong database skills - Cassandra, Elasticsearch/OpenSearch, Redis, or similar distributed data stores. Hands-on use of frontier-model SDKs (Anthropic, OpenAI, or similar) and AI-assisted development tools, with a realistic view of their capabilities and limits. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Ability to communicate effectively at all levels of an organization Strong collaboration skills and experience working in a global team Commitment to software quality - unit tested, code reviewed, and continuously integrated Bonus Points: Experience in cybersecurity - welcome, though not required Experience with Kubernetes and event-driven autoscaling (KEDA) Experience with observability tooling (Splunk, Grafana, LogScale, or similar) Familiarity with security vulnerability management or cybersecurity platforms Good understanding of Windows OS internals and the Windows API Experience with infrastructure-as-code (Terraform, CDK, or similar) Prior experience with large-scale data acquisition or content pipeline systems Experience with evaluation and observability tooling for agentic systems Experience with RAG pipelines, vector stores, or retrieval-augmented agents Experience with graph databases and complex data modeling Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.

Job Description As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About The Role: CrowdStrike's Falcon sensor runs on millions of endpoints globally, protecting more than half of the Fortune 500 companies. It's a high-performance, lightweight agent that detects and prevents sophisticated threats in real-time. It's one of the most widely deployed security platforms in the world, running across every major OS and architecture. Every Falcon sensor release ships to millions of endpoints, so knowing a release is healthy - and being able to prove it - is a high-stakes problem. We're looking for a Software Engineer to design and build the systems, metrics, and dashboards that give engineers and leadership one clear, trusted picture of sensor and release health. You'll join a small team of 4 engineers (remote and hybrid) focused on the metrics, dashboards, and developer tooling that give visibility into the overall health of our build system - tools that sensor engineers and leadership rely on every day. You'll start in our repo-health rotation to see firsthand where sensor teams get stuck - and continue building the automation that replaces that manual process with AI-assisted signals, so attention goes to the highest-priority work. This role sits at the intersection of developer tooling, metrics, and release quality. You'll work primarily in Python and Django on the backend, and React and CSS on the front end, turning raw signal into clear, actionable insight. We're also building out agentic workflows with Claude Code - you'll help create the skills and commands that both our automated systems and the sensor engineering team use day to day, solving problems like: How do we know a sensor repo is unhealthy before it becomes a crisis? How do we give every stakeholder a single source of truth on release quality? How do we quantify the health of the tools and processes our team owns? This role is a hybrid role with an expectation of at least 2x days in office each week, working out of one of the posted locations. What You'll Do: Design and build our sensor quality dashboard from the ground up, giving engineers and leadership full visibility into the health of active sensor releases across multiple metrics Own the process of defining new signals and metrics for repo and release health, and instrument the systems needed to capture them Spend time in our repo-health rotation, partnering with sensor teams to see firsthand where engineers get stuck - then build the tooling that fixes it Build and maintain metrics and visibility across all tooling and processes owned by our team Build and extend Claude Code skills, commands, and agentic workflows used by both our automated systems and the sensor engineering team Drive improvements by identifying gaps in visibility, prototyping solutions, and shipping dashboards and tooling that measurably improve how our team and stakeholders understand sensor health Work with our data stack - LogScale, PostgreSQL, and Valkey - to collect, process, and surface sensor health metrics reliably What You'll Need: 3+ years building production systems with a focus on developer tooling, metrics, or observability/monitoring Strong Python experience (we build on Django) Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Experience with AI-assisted development workflows (we use Claude Code and are building out agentic workflows day to day) Bonus Points: Cloud experience, applied to collecting and surfacing sensor health metrics Front-end (UI) experience (React, CSS) building robust, production-grade dashboards Experience with GitLab CI/CD A focus on AI fluency and staying current with AI-assisted tooling Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs on valid job requirements. If you need assistance accessing or reviewing this website, submitting an application, requesting an accommodation, or providing feedback on the job posting, please contact us at . Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $100,000 - $150,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please click here.

Job Description Job Description CoreWeave 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 . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 Job Description CoreWeave 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 . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are 4 years working w/ server hardware, components, and management technologies. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

Job Description Job Description Network Architect Location: Columbia, SC (On-site) Employment Type: Contract About the Role Our client's Division of Information Technology has an immediate need for highly specialized enterprise network engineering expertise to support critical infrastructure initiatives and ensure operational continuity across the organization's enterprise technology environment. The current workload, combined with strategic modernization efforts and increasing demands on enterprise networking, requires an experienced senior engineer capable of independently leading complex infrastructure design, implementation, automation, and operational support initiatives. This position will provide advanced engineering expertise necessary to complete critical enterprise networking projects, improve infrastructure resiliency, modernize aging systems, and establish technical standards that support the Client's long-term strategic objectives. The engagement will also provide technical leadership and knowledge transfer to strengthen ongoing operational support capabilities. This is an on-site position at the Client's downtown Columbia, SC campus. Occasional remote work is permissible, but the majority of work will take place on site. The Network Architect will serve as the Division's senior technical resource for enterprise network architecture, engineering, modernization, and operational excellence. Working collaboratively with Enterprise Architecture, Network Operations, Information Security, Cloud Services, Facilities Planning, project teams, vendors, and campus stakeholders, the incumbent will design, implement, and optimize the Client's enterprise networking environment. Scope of the Project Define and advance the long-term technical vision and architecture for the Client's Enterprise Data Network (EDN), translating institutional requirements into scalable, secure, resilient network solutions. Provide architecture and engineering leadership for enterprise LAN, WAN, wireless, data center, cloud, hybrid networking, and network security technologies. Lead complex network infrastructure projects and modernization initiatives that improve reliability, resiliency, scalability, security, and operational efficiency. Develop enterprise network architecture standards, engineering standards, reference architectures, technical roadmaps, lifecycle recommendations, and supporting documentation. Design highly available network infrastructure and connectivity across campus, data center, cloud, and external service environments. Advance network automation, orchestration, Infrastructure as Code, and deployment practices that improve consistency, efficiency, and reliability. Develop and improve enterprise monitoring, observability, alerting, analytics, capacity planning, and operational metrics supporting proactive infrastructure management. Provide senior technical leadership for complex infrastructure issues, priority incidents, architecture decisions, and advanced engineering challenges. Coordinate network architecture and engineering initiatives with Network Operations, Information Security, Cloud Services, Physical Network Infrastructure, Facilities Planning, project teams, vendors, contractors, and campus stakeholders. Evaluate emerging technologies, support technical procurement and vendor evaluations, and provide knowledge transfer and documentation supporting long-term operational sustainability. Daily Duties / Responsibilities Provide technical and project leadership for enterprise network architecture, advanced engineering, modernization, and infrastructure implementation initiatives, including hands-on engineering when required. Design and engineer scalable, resilient, and secure LAN, WAN, wireless, data center, cloud, VPN, firewall, and Network Access Control solutions. Develop and maintain enterprise network architectures, engineering standards, technical roadmaps, network diagrams, and other technical documentation; review and validate network designs and engineering solutions developed by other technical staff. Analyze institutional, business, and technical requirements and translate them into enterprise network designs and implementation strategies. Lead network modernization, lifecycle planning, capacity planning, and remediation of aging or at-risk infrastructure. Develop and implement monitoring, observability, automation, orchestration, and operational metrics to proactively assess and improve enterprise network health, capacity, performance, and operational efficiency. Serve as a senior technical resource and Tier III escalation point for complex network incidents and engineering issues, performing advanced troubleshooting and providing architecture-level guidance and resolution when required. Coordinate architecture and engineering activities with Network Operations, Information Security, Physical Network Infrastructure, Facilities Planning, project teams, contractors, consultants, vendors, and other stakeholders. Evaluate emerging technologies and solutions and provide technical recommendations supporting procurement, investment, and long-term infrastructure planning. Provide technical mentoring, knowledge transfer, and engineering guidance to Network Operations and other technical personnel; participate in maintenance windows and after-hours support when required. Perform other duties as assigned. Required Skills 4+ years of experience with enterprise network architecture and engineering within complex, mission-critical environments. 4+ years of experience with LAN/WAN technologies, including Juniper enterprise routing and switching, TCP/IP, enterprise routing protocols, DNS, DHCP, and IPAM. 4+ years of experience leading complex network architecture and engineering initiatives from requirements and design through implementation, troubleshooting, and operational transition. 4+ years of experience with enterprise infrastructure modernization, lifecycle planning, capacity planning, resiliency, and high-availability design. 4+ years of experience with network security architecture and technologies, including Fortinet firewalls and VPN/SASE technologies, Network Access Control (NAC), segmentation, and security policy implementation. 4+ years of experience with cloud and hybrid networking, including AWS or Microsoft Azure. 4+ years of experience with network automation, orchestration, scripting, and Infrastructure as Code concepts and technologies. 4+ years of experience with enterprise network monitoring, observability, analytics, metrics, and performance management. Preferred Skills Experience developing enterprise network strategy, architecture standards, reference architectures, and long-term technology roadmaps. Experience supporting network architecture and engineering in a complex higher education environment, including academic, research, administrative, and other diverse institutional technology requirements. Experience with Aruba and Cisco enterprise switching and wireless technologies, including software-defined and centrally managed network architectures. Experience implementing enterprise observability, telemetry, automation, and proactive or self-healing infrastructure capabilities. Experience with virtualization, cloud networking, and hybrid cloud infrastructure. Experience coordinating infrastructure projects with facilities organizations, architects, contractors, consultants, and external engineering firms. Experience supporting enterprise cybersecurity, zero-trust, segmentation, and secure network architecture initiatives. Required Education / Certifications Bachelor's degree in Computer Science, Information Technology, Network Engineering, Computer Engineering, or a closely related discipline, or equivalent work experience. Preferred Education / Certifications Juniper Networks Certified Professional - Enterprise Routing and Switching (JNCIP-ENT) or higher. Fortinet Certified Professional (FCP) or higher certification relevant to network security, firewalls, or secure networking. Cisco Certified Network Professional (CCNP Enterprise) or Cisco Certified Internetwork Expert (CCIE). Aruba networking certification relevant to enterprise switching, wireless, or network architecture. AWS or Microsoft Azure certification relevant to advanced networking or cloud network architecture. ITIL Foundation or higher. CompTIA Security+ Additional Skills Technical documentation, standards development, and architecture diagrams. Project management and enterprise implementation experience. Technical mentoring and knowledge transfer. Excellent written, verbal, analytical, and customer service skills. Advanced troubleshooting and technical leadership during complex or mission-critical network incidents. Strong technical communication, documentation, stakeholder coordination, vendor management, and knowledge-transfer skills. Demonstrated project leadership experience coordinating complex technical initiatives across multiple teams, stakeholders, vendors, and organizational units.

Job Description Job Description Job Title: Network Architect Consultant ( 13297 ) Location: Columbia, SC 29208 Work Arrangement: Fully Onsite Duration: 6 Months Extension: Possible Interview Process: 2 Rounds Virtual In Person Candidate Requirements Candidate must be a South Carolina resident or willing to relocate to South Carolina before starting at their own expense . Candidates must be US Citizens or Legal Residents . Position is primarily onsite at the University of South Carolina Columbia campus . Occasional remote work may be permitted, but the majority of work will be onsite. Key Responsibilities Lead enterprise network architecture, advanced engineering, modernization, and infrastructure implementation initiatives. Design scalable, resilient, and secure LAN, WAN, wireless, data center, cloud, VPN, firewall, and Network Access Control (NAC) solutions. Develop enterprise network architectures, engineering standards, reference architectures, technical roadmaps, network diagrams, and supporting documentation. Translate institutional, business, and technical requirements into enterprise network designs and implementation strategies. Lead network modernization, lifecycle planning, capacity planning, resiliency, and high-availability initiatives. Advance network automation, orchestration, scripting, Infrastructure as Code (IaC), and deployment practices . Develop and enhance enterprise monitoring, observability, telemetry, alerting, analytics, metrics, and performance management capabilities. Serve as a Tier III escalation resource for complex network incidents and advanced troubleshooting. Coordinate with Network Operations, Information Security, Cloud Services, Facilities Planning, contractors, consultants, vendors, and campus stakeholders. Evaluate emerging technologies and provide technical recommendations supporting procurement and long-term infrastructure planning. Provide technical mentoring, documentation, and knowledge transfer to operational teams. Participate in maintenance windows and after-hours support when required. Required Skills 4 years of enterprise network architecture and engineering experience within complex, mission-critical environments. 4 years with LAN/WAN technologies, including: Juniper enterprise routing and switching TCP/IP Enterprise routing protocols DNS DHCP IPAM 4 years leading complex network architecture and engineering initiatives from requirements and design through implementation, troubleshooting, and operational transition. 4 years with enterprise infrastructure modernization, lifecycle planning, capacity planning, resiliency, and high-availability design. 4 years with network security architecture and technologies, including: Fortinet firewalls VPN / SASE Network Access Control (NAC) Network segmentation Security policy implementation 4 years with cloud and hybrid networking using AWS and/or Microsoft Azure . 4 years with network automation, orchestration, scripting, and Infrastructure as Code (IaC) concepts and technologies. 4 years with enterprise network monitoring, observability, analytics, metrics, and performance management. Preferred Skills Enterprise network strategy, architecture standards, reference architectures, and long-term technology roadmaps. Network architecture and engineering experience within a complex higher-education environment supporting academic, research, administrative, and institutional requirements. Aruba and Cisco enterprise switching and wireless technologies. Software-defined and centrally managed network architectures. Enterprise observability, telemetry, automation, and proactive/self-healing infrastructure. Virtualization, cloud networking, and hybrid cloud infrastructure. Experience coordinating infrastructure projects with facilities organizations, architects, contractors, consultants, vendors, and external engineering firms. Enterprise cybersecurity, Zero Trust, network segmentation, and secure network architecture initiatives. Education / Certifications Required: Bachelor's degree in Computer Science, Information Technology, Network Engineering, Computer Engineering, or a closely related discipline OR equivalent work experience . Preferred One or More: JNCIP-ENT or higher Fortinet Certified Professional (FCP) or higher CCNP Enterprise CCIE Aruba networking certification AWS or Microsoft Azure certification relevant to networking/cloud architecture ITIL Foundation or higher CompTIA Security About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.

Job Description Job Description CoreWeave 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 . About the Role CoreWeave is seeking a highly skilled and motivated engineer to join our Hardware Engineering team. In this role, you will help design, develop, and optimize our server hardware infrastructure. You'll collaborate closely with cross-functional teams, external vendors, and key stakeholders to deliver performant, reliable, and scalable hardware solutions that power CoreWeave's rapidly growing infrastructure. You will own server hardware from provisioning through decommission. This hands-on role combines engineering and operational support. Engineering work includes automation across the hardware lifecycle, hardware and firmware management services, monitoring and alerting, and qualification and bring-up of new platforms. Operational support includes acting as a senior point of contact for hardware escalations, driving deep root-cause analysis across hardware and firmware, and working quality and RMA issues through to resolution with server vendors and OEMs. Both engineering and operational support are core responsibilities. You will support the systems you build and use what you learn from production failures to improve automation, telemetry, and platform design. You will work closely with data center operations teams, hardware technicians, and engineering teams to bring new regions online and keep existing infrastructure healthy. What You'll Do Design and develop server hardware infrastructure to support CoreWeave's high-performance workloads. Automate all aspects of the server hardware lifecycle, from provisioning and configuration through firmware management, monitoring, and decommissioning. Develop and maintain hardware and firmware management services that ensure reliability at scale. Develop and implement monitoring and alerting for server hardware health, improving alert quality to support reliable on-call response. Serve as a senior point of contact for hardware escalations, performing deep troubleshooting and root-cause analysis across hardware and firmware to drive long-term fixes. Participate in an on-call rotation for hardware escalations and improve the runbooks, alerts, and tooling that make the rotation sustainable. Collaborate with cross-functional teams to define hardware requirements, specifications, and system architecture. Work with server vendors and OEMs to evaluate, qualify, and deploy new platforms and resolve firmware, quality, and RMA issues. Support new data center region bring-up and hardware qualification. Analyze hardware system performance, identify bottlenecks, and implement improvements to efficiency and resilience. Establish and continuously refine processes for internal hardware testing, deployment, and performance optimization. Create and maintain accurate documentation of hardware designs, specifications, test procedures, and results. Support data center operations teams and hardware technicians with troubleshooting guidance, runbooks, and training so common issues can be resolved without engineering escalation. Turn recurring production failures into automation, better telemetry, and improvements to platform design and vendor solutions. Communicate status, trade-offs, and risks clearly to engineering, operations, and customer-facing stakeholders, including during active incidents. Who You Are 4 years working w/ server hardware, components, and management technologies. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Proficiency in Ansible or Python, with hands-on experience programmatically interacting with server BMCs using Redfish or IPMI; Redfish preferred. Experience collaborating with hardware vendors and OEMs to evaluate, qualify, and deploy server solutions. Demonstrated experience supporting and troubleshooting production infrastructure, participating in on-call or escalation rotations, and driving incidents through to root-cause resolution. Comfort with both building and automating systems and supporting infrastructure already in production. Proven ability to stay current with technologies and trends in server and data center hardware. Strong interest in automation and infrastructure scalability, with a commitment to continuous improvement. Excellent technical documentation skills and attention to detail. Strong analytical and problem-solving abilities, with a bias toward systematic, data-driven decisions. Excellent written and verbal communication skills in English, with the ability to work effectively with technical teams and cross-functional stakeholders. Preferred Qualifications Experience bringing up new data center regions or standing up infrastructure in a new geography. Experience with GPU platforms and rack-scale systems such as NVIDIA GB200 or GB300. Experience with BMC technologies and management interfaces such as Redfish or IPMI at fleet scale. Experience with firmware lifecycle management or hardware qualification programs in large-scale environments. Strong Linux systems administration and debugging skills at fleet scale. Familiarity with Kubernetes-based services, observability tools such as Prometheus and Grafana, and distributed production environments. Experience designing alerting, runbooks, and self-service tooling that enable operations teams to resolve common hardware failures without engineering escalation. Experience supporting external customers or partners in a technical troubleshooting capacity. Wondering if You're a Good Fit? We believe in investing in our people and value candidates who bring diverse experiences to our teams-even if you aren't a 100% skill or experience match. If some of this describes you, we'd love to talk. You enjoy solving problems at the boundary of hardware, firmware, and software. You want to both build systems and support them, and you use operational experience to improve what you build. You enjoy tracing intermittent hardware failures to their root cause and validating that a fix addresses the underlying problem. You look for opportunities to automate repetitive hardware procedures. You work effectively with operations, engineering, and vendor teams to resolve complex technical issues. You bring structure, accountability, and momentum to fast-moving environments. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 . click apply for full job details

Job Description Job Description Job Title: Application Security Tester / DevSecOps Lead Location: Berkeley Heights, NJ (onsite) Type: Contract Pay Rate: $70-$75 W2 " 10 years in Application Security / DevSecOps, with at least 2-3 years in a lead capacity. " Proven, hands-on experience implementing and enforcing SAST/DAST/SCA gates in CI/CD pipelines. " Direct experience with Fortify (SAST) in an enforcing/blocking configuration, ideally across multiple technology stacks. " Working knowledge of Sonatype (or equivalent SCA) and WebInspect (or equivalent DAST) in production pipelines. Experience: 10 Years Role Overview This is a hands-on DevSecOps Lead role responsible for owning and strengthening the security posture of the software delivery pipeline across three distinct technology stacks: modern cloud-native .NET Core / Azure AKS platform, legacy VB.NET / ASP.NET (.NET Framework 4.8) estate running on IIS, Core COBOL mainframe environment. The successful candidate will be responsible for configuring, tuning, and enforcing security controls within CI/CD pipelines, with direct accountability for transforming SCA, SAST, and DAST from advisory practices into mandatory, pipeline-blocking security gates across all three technology stacks. The role sits at the intersection of Application Security, DevOps Engineering, and Mainframe Modernization, requiring the ability to influence and collaborate effectively with developers across diverse environments from Kubernetes-based microservices and cloud-native applications to traditional COBOL batch workloads and CL-driven mainframe processes. The ideal candidate will combine deep technical expertise with hands-on execution, driving secure-by-design practices while ensuring security controls are seamlessly integrated into the software delivery lifecycle without compromising engineering velocity. Key Responsibilities Enforce Security Gates Across All Stacks " Convert Fortify SAST from advisory/report-only mode to a blocking gate: Critical and High severity findings must fail the build for the Modern (.NET Core/AKS), Legacy (.NET/IIS), and Core COBOL (mainframe) pipelines. " Define and tune Fortify rulesets, filters, and issue-suppression policies per stack to minimize false positives while preserving enforcement integrity. " Drive the exception/waiver process for findings that cannot be remediated immediately (compensating controls, documented risk acceptance, expiry dates). Extend and Mature Security Tooling Coverage " Extend Sonatype SCA to the legacy IIS/.NET Framework 4.8 / VB.NET stack, including NuGet and legacy package dependency scanning. " Assess Fortify (or Arcad) rulesets for COBOL, pilot on the mainframe codebase, and deploy where technically feasible; document coverage gaps and compensating controls where static analysis is not viable. " Maintain and tune WebInspect DAST scans against staging/pre-prod environments for all applications. " Integrate Dynatrace and Splunk signals into the security workflow for runtime visibility and post-deployment monitoring. DevSecOps Pipeline Engineering " Embed SAST (Fortify), DAST (WebInspect), and SCA (Sonatype) directly into CI/CD pipelines across GitHub Actions, Ansible, and Harness. " Implement build-breaker logic and quality/security gates so pipelines fail deterministically on policy violations, with clear developer-facing feedback. " Integrate SonarQube for code quality and security hotspots alongside Fortify, avoiding tool overlap/conflict. " Manage secure artifact promotion through Nexus, including scanning gates prior to promotion between environments. " Automate vulnerability remediation workflows: auto-ticketing, developer notification, re-scan verification, and closure evidence for audit purposes. Establish Remediation SLAs " Stand up a remediation pipeline with a target SLA of under 30 days for Critical/High findings across SAST, DAST, and SCA. " Build tracking, reporting, and escalation workflows (dashboards, ticket auto-creation, aging reports) so overdue findings are visible to engineering leadership and the CISO. " Define severity-based SLA tiers (e.g., Critical: 15 days, High: 30 days, Medium: 90 days) and get sign-off from engineering and compliance stakeholders. Governance, Metrics & Stakeholder Management " Report pipeline enforcement status, SLA compliance, and risk trends to the CISO and engineering leadership on a regular cadence. " Partner with development leads across all three stacks to drive remediation without stalling delivery velocity. " Contribute security control evidence to ISO 27001, SOC 2, NIST CSF, and ISO 42001 audit cycles. " Maintain documentation for tool configuration, gate logic, exception handling, and rollback procedures. AI-Augmented Findings Orchestration & Remediation " Operate AI agents to orchestrate findings intake across Fortify, WebInspect, and Sonatype - correlating, deduplicating, and prioritizing results into a single actionable queue. " Use AI-assisted triage to distinguish true positives from false positives, reducing manual review load while maintaining audit-defensible reasoning for every disposition. " Use AI agents for auto-generate remediation guidance and, where appropriate, remediation code suggestions for developers, with human review gates before merge. " Establish guardrails, human-in-the-loop checkpoints, and audit trails for all AI-driven security decisions to satisfy ISO 27001 / SOC 2 / ISO 42001 evidentiary requirements. " Measure and report AI-assisted triage performance (false-positive reduction rate, mean time to triage, agent accuracy drift). Tools & Platforms Category Tools Source Control GitHub / GitLab CI/CD GitHub Actions, Ansible, Harness Artifact Management Nexus SAST Fortify SCA Sonatype DAST WebInspect Code Quality / Build Gating SonarQube, Build Breaker Observability Dynatrace, Splunk Essential Skills & Experience " 10 years in Application Security / DevSecOps, with at least 2-3 years in a lead capacity. " Proven, hands-on experience implementing and enforcing SAST/DAST/SCA gates in CI/CD pipelines. " Direct experience with Fortify (SAST) in an enforcing/blocking configuration, ideally across multiple technology stacks. " Working knowledge of Sonatype (or equivalent SCA) and WebInspect (or equivalent DAST) in production pipelines. " Practical exposure to at least two of the three target stacks: cloud-native .NET/Kubernetes, legacy .NET/IIS, and mainframe/COBOL; candidates with all three are strongly preferred. " Experience with GitHub Actions, Ansible, and/or Harness pipeline authoring, including custom actions/plugins for security gating. " Familiarity with Nexus repository management and secure artifact promotion practices. " Experience defining and operating remediation SLA programs with measurable compliance reporting. " Exposure to compliance frameworks relevant to a lean, cloud-native SMB environment: ISO 27001, SOC 2, NIST CSF, GDPR; ISO 42001 awareness a plus. " Strong stakeholder management skills - able to hold the line on security gates while working constructively with developers across very different tech generations. " Hands-on experience with AI agents / LLM-based tooling for security findings orchestration, triage, and remediation workflows. " Demonstrated experience reducing false-positive rates through AI-assisted or ML-assisted triage, including training/fine-tuning models or rule-based classifiers on historical findings data. " Understanding of AI governance and safety practices (human-in-the-loop review, audit logging, model drift monitoring) as applied to security decision-making.

Job Description Job Description Description: Please share submission details to RM notes: Vision & Technology project. An ideal candidate should be experienced with machine learning and vision systems using PLC. 5 years of experience in Machine Vision & Edge AI development. Proficiency in Python and C Who we re looking for s Manufacturing Project Innovation Center (Manufacturing Innovation) Advanced Technology Department is looking for a passionate and highly motivated Advanced Technology Engineer The primary responsibility of this role is: Model Development & Training Speed Design and implement computer vision models for defect detection, segmentation, and classification. Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. Edge Optimization Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Client accelerators) to meet strict real-time latency requirements for moving-line inspection. Ensure consistent performance under varying lighting, optics, and surface conditions. Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. Align deployments with s ICS , GALC, and TVIP architecture standards for plant-level connectivity and reliability. Data Strategy & Quality Control Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group s objective to improve manufacturing competitiveness. What you ll be doing Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines. Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware Development of new technologies for PE and Manufacturing competitiveness improvement Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones. Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful. Close collaboration between both internal and external groups across including North American Manufacturing Centers ( NAMCs), Motor Corp (TMC), Technical Center (TTC) , PE support shops, IT ( One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments. What you bring Ability to travel to all North American Manufacturing Centers (NAMC s) including Canada and Mexico; and to Motor Corp (TMC) Japan Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N text follow up) Bachelor s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. 5 years of experience in industrial machine vision and edge AI deployment. Proficiency in Python and C with strong knowledge of ML frameworks (PyTorch, TensorFlow). Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models. Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture Experience balancing inspection accuracy with false positives vs flow-out risk in quality Requirements: Desired / Preferred Master s Degree in Engineering or Advanced Degree in related fields Academic research experience in new technology Project management work involving internal and external parties 6 months or greater Experience deploying equipment including establishing RJ, PFMEA, and quality control plan Experience deploying automotive production equipment Experience in Robotics to include operation, teaching, maintenance, and safety Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. Experience with high-speed inline inspection systems and vision-based process control. Knowledge of IIoT data pipelines and messaging standards. Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. Key Competencies Ability to deliver production-ready AI solutions under strict timelines. Strong problem-solving and cross-functional collaboration skills. Commitment to quality, reliability, and continuous improvement in manufacturing environments

Job Description Job Description Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you. Position: Agentic QA Engineer Generative AI & Agentic Systems (Agent, Multi-Agent Testing) Location: Dallas, TX _ Onsite only Duration: Long term Mode of interview: One Virtual and One face to face Mode of Job: 5 Days onsite Summary We are seeking a hands-on AI Engineer to design and execute end-to-end testing strategies for agentic AI solutions, including multi-agent systems in production-grade environments. This role partners with the Agentic Operations Team to ensure resiliency, reliability, accuracy, latency, orchestration correctness, and scale. You will establish QA frameworks, build reusable test artifacts, drive macro-level validations across complex workflows, and lead the QA function for Agentic AI from Dev to Prod. Key Responsibilities Agentic & Multi-Agent Testing Reliability, Resiliency, and Latency Accuracy & Macro-Level Validations Scale & Orchestration Dev Prod Readiness Define and own the QA strategy for agentic/multi-agent AI systems across dev, staging, and prod. Mentor a team of QA engineers; establish testing standards, coding guidelines for test harnesses, and review practices. Partner with Agentic Operations, Data Science, MLOps, and Platform teams to embed QA in the SDLC and incident response. Design tests for agent orchestration, tool calling, planner-executor loops, and inter-agent coordination (e.g., task decomposition, handoff integrity, and convergence to goals). Validate state management, context windows, memory/knowledge stores, and prompt/graph correctness under varying conditions. Implement scenario fuzzing (e.g., adversarial inputs, prompt perturbations, tool latency spikes, degraded APIs). Create resilience testing suites: chaos experiments, failover, retries/backoff, circuit-breaking, and degraded mode behavior. Establish latency SLOs and measure end-to-end response times across orchestration layers (LLM calls, tool invocations, queues). Ensure reliability through soak tests, canary verifications, and automated rollbacks. Define ground-truth and reference pipelines for task accuracy (exact match, semantic similarity, factuality checks). Build macro validation frameworks that validate task outcomes across multi-step agent workflows (e.g., complex data pipelines, content generation verification agent loops). Instrument guardrail validations (toxicity, PII, hallucination, policy compliance). Design load/stress tests for multi-agent graphs under scale (concurrency, throughput, queue depth, backpressure). Validate orchestrator correctness (DAG execution, retries, branching, timeouts, compensation paths). Engineer reusable test artifacts (scenario configs, synthetic datasets, prompt libraries, agent graph fixtures, simulators). Integrate tests into CI/CD (pre-merge gates, nightly, canary) and production monitoring with alerting tied to KPIs. Define release criteria and run operational readiness (performance, security, compliance, cost/latency budgets). Required Qualifications 7 years in Software QA/Testing, with 2 years in AI/ML or LLM-based systems; hands-on experience testing agentic/multi-agent architectures. Strong programming skills in Python experience building test harnesses, simulators, and fixtures. Experience with LLM evaluation (exact/soft match, BLEU/ROUGE, BERTScore, semantic similarity via embeddings), guardrails, and prompt testing. Expertise in distributed systems testing latency profiling, resiliency patterns (circuit breakers, retries), chaos engineering, and message queues. Familiarity with orchestration frameworks (LangChain, LangGraph, LlamaIndex, DSPy, OpenAI Assistants/Actions, Azure OpenAI orchestration, or similar). Proficiency with CI/CD (GitHub Actions/Azure DevOps), observability (OpenTelemetry, Prometheus/Grafana, Datadog), and feature flags/canaries. Solid understanding of privacy/security/compliance in AI systems (PII handling, content policies, model safety). Excellent communication and leadership skills; proven ability to work cross-functionally with Ops, Data, and Engineering. Preferred Qualifications Experience with multi-agent simulators, agent graph testing, and tooling latency emulation. Knowledge of MLOps (model versioning, datasets, evaluation pipelines) and A/B experimentation for LLMs. Background in cloud (AWS), serverless, containerization, and event-driven architectures. Prior ownership of cost/latency/SLAs for AI workloads in production. For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at

Job DescriptionJob Description CoreWeave 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 . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 DescriptionJob Description CoreWeave 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 . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. 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. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: 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 A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations 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 Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html