Staff Machine Learning Engineer
ServiceNow (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 45–75 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of complex cloud-native platform components from design through production operations.
- Serve as technical lead for major features, translating ambiguous problems into scalable, executable designs and resolving technical risks focusing on reliability and scalability.
- Maintain hands-on involvement in designing, coding, and reviewing core Kubernetes-based systems and mentor junior engineers.
Minimum Requirements
- 8+ years experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production.
- Hands-on expertise with Kubernetes platform infrastructure including Operators, Admission Controllers, Kubebuilder, Operator Framework, and managed/self-managed K8s.
- Proficient in Go with experience developing Kubernetes Operators, Controllers, CRDs, and platform automation.
- Experience with public cloud platforms (AWS, Azure, or GCP), containers, CI/CD, GitOps, Infrastructure-as-Code (Terraform, Crossplane), and observability practices.
Ideal Candidate Profile
- Experienced in integrating AI into engineering/platform work for automated operational workflows or AI-powered tooling.
- Demonstrated ability to own complex technical initiatives end-to-end including architecture, implementation, deployment, and operations.
- Strong background in distributed systems architecture, Kubernetes workload management, and designing scalable, fault-tolerant, highly available platforms.