Site Reliability Engineer

Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. They are seeking a Site Reliability Engineer to build a centralized observability platform and ensure the reliability of systems critical to satellite operations.

Responsibilities:

• Help design and build Aalyria's centralized observability platform, integrating and scaling tools for metrics (e.g. Prometheus), logging (e.g. Loki), and distributed tracing (e.g. Tempo/OpenTelemetry)
• Define, implement, and manage a robust framework of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets for our core products, ensuring we are launch-ready
• Partner with SWEs to implement observability best practices, develop standard templates and documentation, and configure tooling (e.g., OpenTelemetry libraries)
• Automate the deployment, scaling, and management of the entire observability stack using Infrastructure as Code (e.g. Terraform) and GitOps principles (e.g. ArgoCD)
• Partner closely with the core infrastructure team to ensure deep visibility into our Kubernetes clusters and underlying GCP and AWS environments
• Develop and lead the company's monitoring, alerting, and incident response strategy, driving a culture of proactive reliability and blameless post-mortems

Requirements:

• 4+ years of experience in an SRE or platform engineering role, with a focus on observability for large-scale, distributed compute or network systems
• Deep, hands-on expertise building, scaling, and managing observability platforms (e.g., Prometheus, Grafana, Loki/ELK, OpenTelemetry, Tempo/Jaeger, Honeycomb, etc.). You have proven experience using these tools to support performance analysis and debugging of complex distributed systems
• Strong production-level experience with Google Cloud Platform (GCP) and Kubernetes
• Experience using Infrastructure as Code (IaC) and GitOps principles (e.g., ArgoCD)
• Proficiency in a systems programming language, with a strong preference for Go and Python for debugging and writing tooling
• Demonstrable experience defining, implementing, and managing SLOs, SLIs, and error budgets for production services for high availability distributed systems
• Experience operating a multi-cloud environment, specifically GCP and AWS
• Hands-on experience with GitLab CI for CI/CD pipelines
• Working knowledge of service mesh technologies such as Istio or Linkerd
• Familiarity with instrumenting applications written in Go and C++
• An active Secret clearance, or higher, is preferred for this position
• Experience with JVM observability (tuning, monitoring) for Java-based applications