Site Reliability Engineer in Seattle

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• Reliability Engineering: Define and drive adoption of SLIs, SLOs, and error budgets across services, using them to guide engineering priorities and release decisions. \n

• Automation & Toil Reduction: Build tools and automation (Python, Go, Bash) to eliminate manual operational work and enable self-service capabilities for engineering teams. \n

• Infrastructure as Code (IaC): Design and maintain scalable, resilient infrastructure on AWS using Terraform, CloudFormation, or Pulumi, ensuring consistency and repeatability. \n

• Observability: Architect monitoring, logging, tracing, and alerting systems (Prometheus, Grafana, Datadog, Splunk, OpenTelemetry) that give clear, actionable signals into system health. \n

• Incident Management: Act as an incident commander during major outages, lead blameless postmortems, and drive systemic fixes to prevent recurrence. \n

• Capacity Planning & Performance: Forecast growth, execute load/chaos testing, and tune systems proactively to stay ahead of scaling bottlenecks. \n

• CI/CD & Deployment Safety: Partner with engineering teams to build safe, progressive delivery pipelines (canary, blue/green, feature flags) using tools like ArgoCD, Jenkins, or GitLab CI. \n

• Security & Compliance: Embed security best practices into infrastructure and deployment pipelines, including access control, network segmentation, and vulnerability management. \n

• On-Call Leadership: Participate in and help evolve on-call rotations, escalation policies, and runbooks to reduce alert fatigue and improve response times. \n

• Mentorship & Culture: Champion SRE best practices across the organization, mentor engineers on reliability thinking, and influence upstream architecture decisions. \n

We are seeking a highly skilled Senior Site Reliability Engineer to drive the reliability, scalability, and performance of our client’s production systems. The ideal candidate combines deep software engineering ability with system-level expertise, applying core SRE principles to reduce toil, minimize downtime, and build self-healing infrastructure across complex, high-scale environments., * 6+ years of hands-on experience in Site Reliability Engineering, DevOps, or Backend/Systems Engineering with a track record of owning production reliability at scale. \n

• Strong Software Engineering Background: Proficiency in Python, Go, or similar -focused on building maintainable services and tooling, not just basic scripting. \n

• AWS Expertise: Deep technical knowledge of AWS core services (EC2, Lambda, RDS, VPC, IAM, S3, Terraform/CloudFormation) alongside cost and performance optimization. \n

• Linux Systems Mastery: Demonstrated proficiency in performance tuning, kernel/network troubleshooting, and security hardening. \n

• Container Orchestration: Hands-on experience operating Kubernetes/EKS in production environments at scale. \n

• SRE Frameworks: Proven experience defining and operationalizing SLIs, SLOs, and error budgets. \n

• Distributed Systems: Strong understanding of consistency, fault tolerance, failover strategies, and graceful degradation. \n

• Observability & Incident Command: Experience building full-stack observability pipelines and leading major incident response efforts. \n, * Experience with multi-cloud environments (AWS, GCP, Azure). \n

• Chaos engineering experience (Gremlin, Chaos Mesh, or custom fault-injection tooling). \n

• Active AWS Certifications (DevOps Engineer Professional, Solutions Architect). \n

• Familiarity with compliance frameworks (SOC2, ISO 27001, HIPAA). \n

• Experience with service mesh technologies (Istio, Linkerd). \n

• Background in internal platform/developer experience (DevEx) teams. \n