Staff Software Engineer (Data Platform, Kubernetes, Distributed Systems, Federal)

• This position will include supporting our US Regulated Markets
• This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards).
• This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered
• As a Staff Software Engineer with the Data Platform organization, you will be responsible for designing and implementing features and services within our cloud-native platform
• You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production
• You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them
• You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards
• You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call
• You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on
• You will help onboard and mentor junior engineers through code review, design feedback, and pairing

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time- A track record of delivering complex features or services as a key contributor
• Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code
• Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives
• Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built
• 8+ years of software development experience with a Bachelor’s degree; OR 5+ years with a Master’s degree; OR 3+ years with a PhD; OR equivalent work experience
• 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes
• Strong programming skills in Go (or another systems language with a willingness to work primarily in Go)
• Experience with observability — metrics, tracing, and dashboards
• Experience with workload identity, mTLS, or secrets management
• Familiarity with container networking (CNI) or service mesh
• Experience building Kubernetes controllers or working with the operator pattern