Senior Site Reliability Engineer

📋 Job Overview

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.

🏢 About [Company]

We are a well-funded AI/ML company operating at the intersection of geospatial intelligence and environmental technology.

🎯 The Role

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.

✅ Key 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 (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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 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.

🛂 Visa & Eligibility

Visa sponsorship is not available.