Software Engineer, Infrastructure
Niantic Spatial1 day ago
Base Salary
$163k - $230k/yr
Responsibilities
- Build and maintain cloud infrastructure as code and improve reliability through monitoring, alerting, and service-level objectives.
- Operate developer platform systems including source control, CI/CD pipelines, and build infrastructure.
- Participate in on-call rotations, incident response, follow-up activities, and automation of repetitive operational work.
- Support edge API gateway, CDN, authentication, and authorization systems.
- Provision and monitor compute and GPU capacity across teams.
- Use AI-assisted tools to build, automate, and maintain infrastructure and help shape team practices.
Requirements
- 3+ years of experience in infrastructure, SRE, DevOps, or platform engineering.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Experience managing infrastructure as code with Terraform, Pulumi, or similar tools.
- Production experience with GCP, AWS, or another major cloud provider.
- Experience building and maintaining CI/CD pipelines using GitLab, GitHub Actions, or similar tools.
- Production experience with containers and container orchestration such as Kubernetes.
- Proficiency in at least one of Python, Go, TypeScript, or C++, plus shell scripting and Linux systems.
- Comfort using AI-assisted tools in engineering work or strong interest in developing that practice.
- Preferred experience includes API gateways, load balancers, CDNs, OAuth 2.0, OIDC, cloud IAM, GPU workloads, ML infrastructure, and message queuing systems.
Benefits
- Base salary is $171,000-$230,000 for Bay Area candidates and $162,500-$218,500 for Seattle/Bellevue candidates.
- The role is eligible for equity, bonus, and benefits.
- The position is based in the San Francisco or Sunnyvale, California offices or Bellevue, Washington, with a minimum of three on-site days per week.
Tech Stack
Categories
About Niantic Spatial
Niantic Spatial builds computer‑vision and spatial computing software that maps real‑world environments and localizes people and machines within them. The company offers a platform with APIs and SDKs for creating AI‑native digital twins, visual positioning, and spatial question‑answering, serving robotics, AR/VR, defense, and industrial operations. Privately held, it sells its technology to enterprises that need precise, geometrically accurate understanding of physical spaces beyond GPS or screen‑bound systems.