Site Reliability Engineer
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-10-15
Listing for:
Evlo AI
Full Time
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Job Description & How to Apply Below
The Role
The role keeps large-scale distributed systems fast, available, and observable. This team owns the reliability of production infrastructure — Kubernetes clusters, service meshes, CI/CD pipelines, and the monitoring stack — that serves millions of requests per day.
SREs here blend software engineering and systems operations: writing automation that eliminates toil, setting SLOs with product teams, and leading incident response when things break. The work directly determines whether customers experience a fast, dependable product.
Key Responsibilities- Own reliability for production services end-to-end: define SLOs/SLIs, build error budgets, and drive engineering decisions based on reliability data
- Build and maintain observability tooling with Prometheus, Grafana, and Open Telemetry; design alerting that pages on real problems, not noise
- Lead incident response for high-severity outages — run blameless postmortems, drive root-cause analysis, and ship preventive fixes
- Automate infrastructure provisioning and configuration using Terraform, Ansible, and Git Ops workflows (ArgoCD) across multi-region cloud environments (AWS/GCP)
- Harden and scale Kubernetes-based platforms: capacity planning, autoscaling policies, node tuning, and cluster upgrade rollouts
- Reduce toil through automation — build self-service tooling in Go or Python so developers can deploy, debug, and scale services without ticket handoffs
- Participate in an on-call rotation and contribute to runbooks, chaos engineering exercises, and disaster recovery testing
- 3–7 years of experience in SRE, Dev Ops, or infrastructure engineering, including production on-call experience
- Strong programming skills in Go, Python, or Bash for building automation, tooling, and internal platforms
- Deep hands-on experience with Kubernetes in production — deployment, debugging, RBAC, networking, and helm-based packaging
- Experience with infrastructure-as-code (Terraform) and CI/CD systems (Git Hub Actions, Git Lab CI, or Jenkins)
- Solid grasp of distributed systems fundamentals: load balancing, caching, consistency, and failure modes at scale
- BS in Computer Science or equivalent practical experience
- Bonus:
Experience with service mesh (Istio/Linkerd), chaos engineering tooling (Gremlin, Litmus), cloud cost optimization, or contributions to open-source infrastructure projects
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×