
Sr Staff Software Engineer - Go, Kubernetes platform Engineering
ServiceNow8 hours ago
Remote, India or Hyderābād, IndiaStaff+
Responsibilities
- Lead the design and delivery of complex cloud-native platform components and services through production operation.
- Act as technical lead for major features and initiatives, translating ambiguous problems into scalable designs.
- Develop and review Kubernetes operators, controllers, infrastructure automation, and platform services in Go.
- Identify and resolve technical risks involving reliability, scalability, operability, and engineering quality.
- Own technical initiatives end to end from architecture and design through implementation, deployment, and operational support.
- Drive technical strategy through architecture reviews, technical proposals, and cross-functional collaboration.
- Mentor junior and mid-level engineers through code reviews, design reviews, technical guidance, and problem-solving.
Requirements
- 14+ years of experience designing, building, and operating large-scale distributed systems and cloud-native platforms in production.
- Demonstrated experience building and operating Kubernetes platform infrastructure at scale, including deployment, upgrades, and production operations.
- Hands-on experience developing Kubernetes Operators, Admission Controllers, or other platform extensions using Kubebuilder, Operator Framework, or similar technologies.
- Experience operating managed Kubernetes services including EKS, AKS, and GKE, as well as self-managed Kubernetes environments.
- Strong software engineering expertise in Go, including Kubernetes Operators, Controllers, Custom Resource Definitions, and platform automation.
- Experience with cloud-native database platforms, large-scale data infrastructure, stateful services, containers, CI/CD, GitOps, and Infrastructure-as-Code.
- Deep understanding of Kubernetes orchestration, scheduling, security, storage, networking, and workload management.
- Extensive experience with AWS, Azure, or GCP compute, networking, security, and identity services.
- Strong background in microservices, event-driven systems, and distributed application architectures.
- Experience implementing observability and reliability practices including metrics, logging, tracing, monitoring, alerting, and service-level objectives.
- Ability to integrate or critically evaluate AI in engineering and platform work, including AI-powered tooling, automated operations, and agentic systems.
- Preferred experience includes container networking, service mesh, mTLS, workload identity, secrets management, observability, Terraform, Crossplane, and distributed data or compute workloads on Kubernetes.
Benefits
- Regular employee position in the APAC region.
- Flexible or remote work persona, subject to role and location eligibility.
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.