Senior Site Reliability Engineer

About the Role We are a well-funded AI/ML company operating at the intersection of geospatial intelligence and environmental technology. Our engineering team is growing, and we're looking for a Senior Site Reliability Engineer to take ownership of our cloud infrastructure and help us raise the bar on reliability, observability, and operational excellence across Product & Engineering. You'll evolve our GCP-based infrastructure, drive incident management practices, define SLOs and error budgets, and champion observability to improve mean time to recovery. You'll also use DORA metrics as a lens to help teams ship better software, and work cross-functionally to optimize cloud usage and cost. What You'll Do 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 (metrics, logging, 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 on-call rotation. What We're Looking For Required: 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 tools such as Terraform or Deployment Manager. Scripting and automation skills in Python, Bash, or Go . Strong observability stack experience: 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 . Nice to Have: Experience designing and evolving cloud infrastructure at scale. Familiarity with DORA metrics and how to apply them to engineering workflows. Background in AI/ML or geospatial technology environments. Location This role is fully remote , open to candidates based in EU, UK, or North America (Canada, United States, and select European countries including Denmark, Estonia, France, Netherlands, Portugal, Sweden, Switzerland, and the United Kingdom). Visa sponsorship is not available. Compensation & Benefits Compensation details were not provided for this role. Salary will be discussed during the interview process and will be commensurate with experience and location.