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AI/ML On-site

Staff AI Native Engineer (Kubernetes)

Job Overview

Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation. Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving.

Key points

  1. Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs.

  2. Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy.

  3. Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence.

  4. Maintain a strong hands-on presence across the development lifecycle, including designing, coding, and reviewing core systems such as Kubernetes operators, controllers, infrastructure automation…

  5. Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows…

  6. 8+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production environments.

  7. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and…

  8. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party…

Skills

KubernetesTerraformMicroservicesAWSAzureGoogle CloudCI/CDProblem Solving

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

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