indeed
Staff Software Engineer - Data Platform - Kubernetes - Distributed Systems - Federal
ServiceNow
Kirkland, USA
Full-time
Hybrid
USD 149800-262200 yearly
Discovered 3 weeks ago
Software developmentKubernetesCloud-native platform engineeringAWS, Azure, or GCPGo or another systems programming languageContainers
Role Overview
Join the Data Platform Engineering organization as a Staff Software Engineer at IC4 level.
The role is a hands-on contributor position owning well-scoped components and projects through delivery.
Key Skills for This Role
Software developmentKubernetesCloud-native platform engineeringAWS, Azure, or GCPGo or another systems programming languageContainers
Full Job Posting
Position location
- This is a flexible hybrid position requiring two days per week in a ServiceNow office.
- The description lists offices including San Francisco, Pleasanton, Santa Clara, San Diego, and Kirkland, Washington.
- The position supports US regulated markets.
Role overview
Join the Data Platform Engineering organization as a Staff Software Engineer at IC4 level.
The role is a hands-on contributor position owning well-scoped components and projects through delivery.
Responsibilities
- Design, build, and operate cloud-native platform components from design through production.
- Lead well-scoped projects, develop technical designs, and deliver features.
- Collaborate with senior, staff, and principal engineers on architecture and standards.
- Improve reliability, scalability, and operability through tests, instrumentation, runbooks, and on-call participation.
- Build operators, controllers, automation, and platform services for other teams.
- Onboard and mentor junior engineers through code review, design feedback, and pairing.
Qualifications
- Integrate AI into engineering work using tools, workflow automation, or other relevant approaches.
- Software development experience: 8+ years with a bachelor's degree, 5+ with a master's, 3+ with a PhD, or equivalent experience.
- At least 5 years building, deploying, and operating Kubernetes workloads.
- Experience with AWS, Azure, or GCP, including compute, networking, and IAM primitives.
- Track record delivering complex features or services as a key contributor.
- Working knowledge of containers, CI/CD, GitOps, and infrastructure as code.
- Strong Go or other systems-language programming skills and willingness to work primarily in Go.
Helpful experience
- Kubernetes controllers or the operator pattern.
- Container networking, CNI, or service mesh.
- Workload identity, mTLS, or secrets management.
- Observability involving metrics, tracing, and dashboards.
- Managed Kubernetes such as EKS, AKS, or GKE and infrastructure-as-code tools such as Terraform.
Compensation
- The listed base pay range is USD 149,800–262,200; equity, variable or incentive compensation, and benefits may also apply.
- The description says pay varies with qualifications, skill level, competencies, and work location.
Federal screening and eligibility
- Employment is contingent on passing the USFedPASS background screening, including credit and criminal or misdemeanor checks and a drug test.
- Due to federal requirements, candidates must be U.S. citizens, naturalized U.S. citizens, or U.S. permanent residents holding a green card.
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