• SDE 4

    Insight Global (Redmond, WA)


    Job Description

    Design, develop, and optimize CI/CD pipelines for cloud-native applications and AI-powered solutions.

     

    Implement automated compliance checks for Secure Development Lifecycle (SDL) and Responsible AI (RAI) standards.

     

    Collaborate with cross-functional teams to integrate security and governance controls into delivery workflows.

     

    Drive improvements in integration, deployment, and observability tools to support large-scale distributed systems.

     

    Ensure solutions are scalable, resilient, and secure, leveraging best practices in DevOps, DataOps, and MLOps.

     

    Stay current with emerging technologies and contribute to innovation in engineering systems.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

     

    Skills and Requirements

     

    Strong expertise in building high quality, reusable CI/CD pipelines for complex systems.

     

    Proficiency in Windows and Linux environments.

     

    Hands-on experience with Docker and Kubernetes for containerization and orchestration.

     

    Solid understanding of network security, identity and authentication (AuthN/AuthZ).

     

    Familiarity with LLMs, DataOps, AIOps/MLOps practices.

     

    Knowledge of cloud-native architecture and secure software development lifecycle.

     

    Excellent problem-solving skills and ability to work in a fast-paced environment. Experience with Azure and related services.

     

    Background in AI/ML systems and Responsible AI principles.

     

    Strong coding skills in languages such as Python, C# and/or Shell Scripting.

     

    Familiarity with compliance frameworks and security automation.