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fulltime·ServiceNow

Senior Staff AI Native Engineer (Kubernetes)

Hyderabad, IndiaSalary not disclosed6 skills

Skills & Stack

KubernetesGoCloud-native platformAI-native engineeringDistributed systemsOperators

About the Role

Senior staff engineer leading cloud-native Kubernetes platform components with AI-native engineering at ServiceNow Hyderabad.

About ServiceNow

Enterprise cloud platform company (Now Platform).

What You'll Do

6 items
  • 1Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation.
  • 2Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs.
  • 3Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy.
  • 4Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence.
  • 5Maintain a strong hands-on presence across the development lifecycle, including designing, coding, and reviewing core systems such as Kubernetes operators, controllers, infrastructure automation, and platform services.
  • 6Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving.

What We're Looking For

  • To be successful in this role you have:
  • Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run.
  • 12+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production environments.
  • Demonstrated experience building and operating Kubernetes platform infrastructure at scale, with ownership of platform capabilities through deployment, upgrades, and production operations.
  • Hands-on developing Kubernetes Operators, Admission Controllers, or other platform extensions using Kubebuilder, Operator Framework, or similar technologies.
  • Experience operating both managed Kubernetes services (EKS, AKS, GKE) and self-managed Kubernetes environments.

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