Software Engineer, Infrastructure

Niantic Spatial•San Francisco, CA

1d•$162,500 - $230,000•Hybrid

About The Position

Niantic Spatial builds spatial AI models and services that enable people and machines to reason, learn, and act safely in the physical world. The company turns camera imagery, video, sensor data, and archives into accurate, AI-readable representations of real places. The Software Engineer, Infrastructure will join a small infrastructure team with broad, shared ownership of the cloud platform, developer tooling, and edge services. The role works across SRE, infrastructure, and developer platform, collaborating with experienced teammates and growing into ownership of parts of the stack. The work will also shape how the engineering organization builds, ships, and operates software. The role is based at the San Francisco or Sunnyvale, California office, or in Bellevue, Washington. Team members are asked to work on-site at least three days per week. The position offers a base salary range of $171,000–$230,000 for Bay Area candidates and $162,500–$218,500 for Seattle/Bellevue candidates, depending on assessed skills, experience, and location. It is also eligible for equity, bonus, and benefits.

Requirements

At least 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 tools such as Terraform, Pulumi, or similar.
Production experience with GCP, AWS, or another major cloud provider.
Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar.
Production experience with containers and container orchestration, such as Kubernetes.
Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, as well as shell scripting and Linux systems.
Comfort using AI-assisted tools in engineering work, or a strong interest in developing that habit.

Nice To Haves

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.

Responsibilities

Build and maintain cloud infrastructure as code.
Improve reliability through monitoring, alerting, and service-level objectives.
Help operate source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely.
Share on-call responsibilities, participate in incident response and follow-up, and automate repetitive operational work.
Help operate the edge API gateway, CDN, and authentication and authorization systems.
Help provision and monitor compute and GPU capacity across teams.
Use AI tools to build, automate, and maintain infrastructure, and help shape how the team uses them.