Software Engineer, Infrastructure

About the Role

You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates.

What You'll Do

• Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives.
• Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely.
• Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work.
• Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team.
• Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams.
• AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them.

What You'll Bring

• Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar.
• Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production.
• CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar.
• Containers: Production experience with containers and container orchestration, such as Kubernetes.
• Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems.
• AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here.

Nice to Have

• Familiarity with API gateways, load balancers, or CDNs.
• Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM.
• Experience with GPU workloads or ML infrastructure.
• Experience with message queuing systems.

Location & Work Model

This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week.

Compensation & Benefits

The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process.