Software Engineer, Infrastructure

The role

You will join an infrastructure team to maintain the cloud platform, developer tooling, and edge services. You will work across SRE, infrastructure, and developer platform to support the engineering organization.

What you will do

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

Required qualifications

• 3+ years 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
• Hands-on experience with GCP, AWS, or another major cloud provider in production
• 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++
• Shell scripting
• Linux systems
• Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit

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

Benefits

• Equity
• Bonus
• Benefits

About the company

Niantic Spatial builds spatial AI models and services so people and machines can reason, learn and act safely in the physical world. The team builds a living, measured record of the real world that machines can query and learn from.