Sr Staff Software Engineer - Go, Kubernetes platform Engineering
ServiceNow · Posted Oct 21
Cloud-based workflow automation and artificial intelligence platform services
Get a personal compatibility score
Add a resume for personal matches
About the role
ServiceNow's cloud-native platform engineering team builds and operates Kubernetes platform infrastructure at scale, including operators, controllers, and infrastructure automation. The work spans large-scale distributed systems, stateful workloads on Kubernetes, and public cloud services across AWS, Azure, and GCP. This role leads the design and delivery of complex platform components as a hands-on technical lead, mentors engineers, and partners with Principal and Distinguished Engineers on long-term platform architecture and engineering standards.
What you will do
- Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation.
- Act as the technical lead for major features and initiatives within the team, translating ambiguous problems into clear, scalable, and executable designs.
- Partner with Principal and Distinguished Engineers to ensure alignment with broader platform architecture, engineering standards, and long-term technical strategy.
- Identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, operability, and engineering excellence.
- Maintain 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.
- Mentor mid-level and junior engineers while raising the engineering bar through code reviews, design reviews, technical guidance, and collaborative problem-solving.
Skills used in this role
What the employer is looking for
- 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.
- 14+ 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.
- Experience supporting cloud-native database platforms, large-scale data infrastructure, or stateful services on Kubernetes.
- Strong software engineering expertise in Go, with hands-on experience developing Kubernetes Operators, Controllers, Custom Resource Definitions (CRDs), and platform automation capabilities.
- Deep understanding of Kubernetes architecture, including orchestration, scheduling, security, storage, networking, and workload management.
- Proven experience operating stateful and distributed workloads on Kubernetes, including databases, data services, or other mission-critical platform components.
- Extensive experience with public cloud platforms (AWS, Azure, or GCP), including compute, networking, security, and identity management services.
- Strong background designing and building microservices, event-driven systems, and distributed application architectures.
- Experience owning complex technical initiatives end-to-end, from architecture and design through implementation, deployment, and operational support.
- Hands-on experience with containers, CI/CD, GitOps practices, and Infrastructure-as-Code using tools such as Terraform, Crossplane, or equivalent technologies.
- Experience implementing observability and reliability best practices, including metrics, logging, tracing, monitoring, alerting, and service-level objectives.
- Proven ability to drive technical strategy through architectural design reviews, technical proposals, and cross-functional collaboration.
Preferred qualifications
- Experience with container networking (CNI) and/or service mesh.
- Experience with mTLS, workload identity, and secrets management at fleet scale.
- Experience with observability—metrics, tracing, and SLOs.
- Experience with Terraform, Crossplane, or similar declarative infrastructure tooling.
- Experience designing or tuning distributed data or compute workloads on Kubernetes.
Benefits and support
- Compensation and benefits are detailed in the job posting
About ServiceNow
ServiceNow provides an end-to-end cloud-based platform and workflow automation solutions that help enterprises digitize and unify operations. Its platform leverages artificial intelligence and machine learning to streamline IT service management, customer service, and business processes.
- Industry
- Software Development
- Company size
- 10001+ employees
- Founded
- 2004
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $4.08B raised
- 2026-04-17Post IPO Debt$4.00B
Leadership
Chairman and Chief Executive Officer
President and Chief Financial Officer
President, Chief Product Officer and Chief Operating Officer
Chief Technology Officer and EVP, DevOps
Recent coverage
ServiceNow Newsroom
ServiceNow advances its operational harness for enterprise AI with AI Passport and expanded governance capabilities2026-10-15
ServiceNow Newsroom
ServiceNow launches AI Workflow Factory to turn workflow improvement into a continuous, agentic AI-powered loop2026-10-06
ServiceNow Newsroom
Tech Mahindra and ServiceNow Expand Partnership to Deliver Production-Ready Enterprise AI at Scale2026-08-20