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AI/ML On-site

Senior DevOps Engineer (Kubernetes) - Federal

Job Overview

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Key points

  1. The AI Services Platform Group at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced…

  2. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission.

  3. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences.

  4. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

  5. Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back.

  6. Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise.

  7. Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives.

  8. Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as…

Skills

Machine LearningPythonKubernetesCI/CDGit

Experience: Senior-level · Job type: Full-time

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