Staff AI Native Engineer (Kubernetes)
ServiceNow (company site, opens in a new tab)8+ yrsHyderabadHybridDirect career pageEst. 40–65 LPA
Posted 2h ago
Reach people at ServiceNow
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at ServiceNow you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of complex cloud-native platform components, owning them from design through production.
- Act as technical lead for major features, translating ambiguous problems into clear, scalable designs.
- Drive reliability, scalability, operability, and technical excellence while mentoring engineers and maintaining hands-on development including Kubernetes operators and platform automation.
Minimum Requirements
- 8+ years experience designing, building, and operating large-scale distributed systems and cloud-native platforms.
- Hands-on experience developing Kubernetes Operators, Admission Controllers, or platform extensions using Kubebuilder or Operator Framework.
- Experience with managed (EKS, AKS, GKE) and self-managed Kubernetes environments.
- Strong programming expertise in Go and deep understanding of Kubernetes architecture including orchestration, security, storage, and networking.
Ideal Candidate Profile
- Experienced in integrating AI technologies into platform engineering and operations specifically for AI-powered tooling and automation workflows.
- Proven track record owning complex technical initiatives end-to-end across architecture, deployment, and operational support in Kubernetes environments.
- Comfortable working with cloud-native stateful services and large-scale data infrastructure, leveraging public cloud platforms like AWS, Azure, or GCP.