Senior Site Reliability Engineer
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Job Description
Senior Site Reliability Engineer managing GCP infrastructure for an AI/ML geospatial intelligence company. Improving observability, incident response, reliability metrics, and cloud cost governance.
Responsibilities:
- Design and evolve cloud infrastructure on GCP at scale
- Build internal tooling and automation that promote team autonomy and self-service
- Advance the observability platform using metrics, logging, and tracing to reduce MTTR
- Build visibility into infrastructure costs and drive governance and optimization initiatives
- Champion reliability best practices including SLOs, SLIs, error budgets, and DORA metrics
- Lead incident management, facilitate post-incident reviews, and participate in an on-call rotation
- Work cross-functionally to optimize cloud usage and cost
Requirements:
- 3+ years of Site Reliability Engineering or production SRE experience
- Proficiency with Google Cloud Platform (GCP), including cost optimization and governance
- Hands-on experience with Kubernetes for cluster and workload management
- Infrastructure as Code experience using Terraform or Deployment Manager
- Scripting and automation skills in Python, Bash, or Go
- Strong observability stack experience with Prometheus, Grafana, OpenTelemetry, logging, and distributed tracing
- Experience with incident management, post-incident reviews, and on-call rotation
- Ability to define and implement SLOs, SLIs, and error budgets
- Familiarity with DORA metrics is nice to have
- Background in AI/ML or geospatial technology environments is nice to have
- Must have work authorization in the applicable country
- Visa sponsorship is not available
Benefits:
- Fully remote work
- Compensation commensurate with experience and location
- Visa sponsorship is not available
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