Staff Software Engineer Cloud Platform— Kubernetes, Hyperscalers & Distributed Systems
Job Summary
To be successful in this role you have:
- You will own the design and delivery of significant components and core subsystems of our Kubernetes platformfor example secrets and certificate management workload identity storage or cluster networkingfrom design through production operation.
- You will take a loosely defined platform problem and turn it into a design a plan and shipped software with limited scaffolding from others.
- You will contribute to the architecture of distributed workloads running on the platform working with the teams who depend on it to get the runtime and isolation model right.
- You will spend most of your time hands-on in codeoperators and controllers infrastructure automation and platform servicesand in the reviews that keep their quality high.
- You will own the operability of what you build: SLOs failure modes upgrade and migration paths and on-call for your own systems.
- You will partner with senior staff and principal engineers to keep your work aligned with the wider platform architecture and mentor engineers earlier in their careers.
- You will help us run a platform that serves regulated markets where compliance constraints including FedRAMP shape design choices.
Qualifications :
To be successful in this role you have:
- Built and operated Kubernetes platform infrastructure in production before at meaningful scalenot just consumed it. You can point to specific subsystems you designed shipped and then supported through real incidents and upgrade cycles.
- 8 years building production software including solid experience operating distributed systems.
- Strong programming skills in Go with production Kubernetes controller or operator work behind you.
- Hands-on depth with at least one major hyperscaler (AWS Azure GCP)its compute networking and IAM primitives and where they leak into cluster design.
- A track record of owning complex components end to end from ambiguous problem to production whether or not you carried a lead title.
- Strong working knowledge of containers CI/CD and GitOps-based delivery and infrastructure-as-code.
- Experience leveraging or critically thinking about how to integrate AI into engineering and platform workAI-powered tooling automated operational workflows agentic systems for fleet visibility and operations or reasoning about AIs impact on how infrastructure is built and run.
It also helps if you have:
- Experience with managed Kubernetes (EKS/AKS/GKE) alongside self-managed clusters.
- Experience with container networking (CNI) and/or service mesh.
- Experience with mTLS workload identity and secrets management at fleet scale.
- Experience with observabilitymetrics tracing and SLOs.
- Experience with Terraform Crossplane or similar declarative infrastructure tooling.
- Experience designing or tuning distributed data or compute workloads on Kubernetes.
Additional Information :
Work Personas
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Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin age disability gender identity veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
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Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Remote Work :
No
Employment Type :
Full-time
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