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# Site Reliability Engineer in Seattle

- **Company:** Energy Jobline
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Systems Engineering, Microsoft Azure, Bash Shell, Continuous Integration, Linux, DevOps, Distributed Systems, Fault Tolerance, Identity and Access Management, Python (Programming Language), Network Troubleshooting, Network Segmentation, Performance Tuning, Reliability Engineering, Prometheus, Software Engineering, Software Vulnerability Management, Datadog, Data Logging, Pulumi, Google Cloud, Istio, Delivery Pipeline, Grafana, Multi-Cloud, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Backend, Cloudformation, Amazon Relational Database Service, Gitlab-ci, Kubernetes, Build Tools, Linkerd (Service Mesh), Terraform, Splunk, Jenkins, Golang
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/site-reliability-engineer-seattle-31817179

## About the Role

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.
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 * Strong Software Engineering Background: Proficiency in Python, Go, or similar -focused on building maintainable services and tooling, not just basic scripting.
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 * AWS Expertise: Deep technical knowledge of AWS core services (EC2, Lambda, RDS, VPC, IAM, S3, Terraform/CloudFormation) alongside cost and performance optimization.
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 * Linux Systems Mastery: Demonstrated proficiency in performance tuning, kernel/network troubleshooting, and security hardening.
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 * Container Orchestration: Hands-on experience operating Kubernetes/EKS in production environments at scale.
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 * SRE Frameworks: Proven experience defining and operationalizing SLIs, SLOs, and error budgets.
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 * Distributed Systems: Strong understanding of consistency, fault tolerance, failover strategies, and graceful degradation.
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 * Observability & Incident Command: Experience building full-stack observability pipelines and leading major incident response efforts.
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 * Chaos engineering experience (Gremlin, Chaos Mesh, or custom fault-injection tooling).
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 * Active AWS Certifications (DevOps Engineer Professional, Solutions Architect).
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 * Familiarity with compliance frameworks (SOC2, ISO 27001, HIPAA).
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 * Experience with service mesh technologies (Istio, Linkerd).
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 * Background in internal platform/developer experience (DevEx) teams.
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## Description

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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.
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 * Automation & Toil Reduction: Build tools and automation (Python, Go, Bash) to eliminate manual operational work and enable self-service capabilities for engineering teams.
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 * Infrastructure as Code (IaC): Design and maintain scalable, resilient infrastructure on AWS using Terraform, CloudFormation, or Pulumi, ensuring consistency and repeatability.
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 * Observability: Architect monitoring, logging, tracing, and alerting systems (Prometheus, Grafana, Datadog, Splunk, OpenTelemetry) that give clear, actionable signals into system health.
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 * Incident Management: Act as an incident commander during major outages, lead blameless postmortems, and drive systemic fixes to prevent recurrence.
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 * Capacity Planning & Performance: Forecast growth, execute load/chaos testing, and tune systems proactively to stay ahead of scaling bottlenecks.
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 * 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.
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 * Security & Compliance: Embed security best practices into infrastructure and deployment pipelines, including access control, network segmentation, and vulnerability management.
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 * On-Call Leadership: Participate in and help evolve on-call rotations, escalation policies, and runbooks to reduce alert fatigue and improve response times.
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 * Mentorship & Culture: Champion SRE best practices across the organization, mentor engineers on reliability thinking, and influence upstream architecture decisions.
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