• Software Engineer III

    Insight Global (Seattle, WA)


    Job Description

    • The ideal candidate will be responsible for building tools for automation around ML workflows orchestration and model deployments using CI/CD workflows and automate infrastructure deployments and tool configurations using Terraform or similar IaC tools. This person will write clean, maintainable code in Python,Go and other object-oriented programming languages (e.g., Java). Troubleshoot and resolve issues related to ML workflow deployments Generate and maintain operational reporting pipeline through tools like big query, looker and tableau. Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools.

     

    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

    • 5+ years of experience in MLOps, DevOps, or a related field

    • Hands on experience with Vertex AI or similar platforms like Amazon SageMager

    • Basic knowledge on reporting tools like Tableau, looker, big query (SQL)

    • Experience with Kubernetes or other orchestration containerized platforms

    • Basic knowledge of cloud technologies (e.g., AWS, GCP)

    • Ability to write unit tests, integration tests, and provide clean, reusable code