Senior Staff Machine Learning Engineer
ServiceNow (company site, opens in a new tab)14+ yrsHyderabadOn-siteDirect career pageEst. 60–95 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Own design and delivery of complex cloud-native platform components from inception to production operation.
- Lead technical initiatives, translating ambiguous problems into scalable designs, and ensure alignment with platform architecture and engineering standards.
- Hands-on development and mentoring on core systems such as Kubernetes operators, controllers, infrastructure automation, and platform services.
Minimum Requirements
- 14+ years experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production.
- Proven hands-on expertise with Kubernetes platform infrastructure, including developing Operators, Admission Controllers, and platform extensions with Kubebuilder or Operator Framework.
- Strong software engineering skills in Go and deep understanding of Kubernetes architecture (orchestration, scheduling, security, storage, networking).
- Experience with public cloud platforms (AWS, Azure, or GCP) and infrastructure automation tools like Terraform or Crossplane.
Ideal Candidate Profile
- Experienced in integrating AI-powered tooling or automated workflows in engineering or platform operations.
- Skilled at owning complex technical initiatives end-to-end with a focus on reliability, scalability, and operational excellence in distributed systems.
- Experienced in operating stateful and distributed workloads on Kubernetes and building microservices/event-driven distributed architectures.