Staff Software Engineer - Data Platform - Kubernetes - Distributed Systems - Federal

Description

The role is a Staff Software Engineer (IC4) on the Data Platform Engineering team, supporting US regulated markets.

It is a hybrid position: you spend 2 days per week in an office in San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; or Kirkland, WA.

You act as a hands-on contributor who owns well-defined components and projects and takes them from start to finish.

Responsibilities

• Design, build, and run components and services on the cloud-native platform, moving features from design to production.
• Lead well-defined projects in your team, turning requirements and early ideas into sound technical designs and then delivering them.
• Work with senior, staff, and principal engineers to keep your work aligned with platform architecture and standards.
• Make what you build reliable, scalable, and easy to operate by writing tests and instrumentation, improving runbooks, and taking part in on-call.
• Spend most of your time coding operators, controllers, automation, and platform services that other teams rely on.
• Onboard and mentor junior engineers through code reviews, design feedback, and pair work.

Requirements

• Experience using AI in engineering work, or thinking critically about it, such as using AI-powered coding and operations tools, automating workflows, or considering how AI changes how software and infrastructure get built.
• 8+ years of software development experience with a Bachelor's degree, 5+ years with a Master's degree, 3+ years with a PhD, or equivalent work experience.
• 5+ years of hands-on experience building, deploying, and operating workloads on Kubernetes.
• Working experience with at least one major hyperscaler (AWS, Azure, or GCP), including its core compute, networking, and IAM building blocks.
• A record of delivering complex features or services as a key contributor.
• Solid working knowledge of containers, CI/CD and GitOps delivery, and infrastructure as code.
• Strong Go programming skills, or experience with another systems language and willingness to work mainly in Go.
• It helps if you have experience building Kubernetes controllers or using the operator pattern.
• It helps if you have familiarity with container networking (CNI) or service mesh.
• It helps if you have experience with workload identity, mTLS, or secrets management.
• It helps if you have experience with observability, including metrics, tracing, and dashboards.
• It helps if you have experience with managed Kubernetes (EKS, AKS, or GKE) and infrastructure-as-code tools such as Terraform.

Conditions

The role supports US regulated markets.

The hybrid schedule requires 2 days per week in a company office at one of the listed locations.

Base pay for this location is $149,800 to $262,200, which is a guideline; individual total pay varies with qualifications, skill level, competencies, and work location.

Equity (when applicable) and variable or incentive pay are offered in addition to base pay.

Sales roles generally use an On Target Earnings incentive structure.

Pay is based on the geographic location where the role sits and may change with work location.

Work personas (flexible, remote, or required in office) are assigned based on the nature of the work and the assigned work location. The company may confirm the distance between your primary residence and the nearest office using a third-party service.

Benefits

• Health plans, including flexible spending accounts.
• 401(k) plan with company match.
• Employee stock purchase plan (ESPP).
• Matching donations.
• Flexible time away plan.
• Family leave programs.