Site Reliability Engineer

Evlo AI; Boston (MA); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Evlo AI is seeking a Site Reliability Engineer to own the health, performance, and uptime of large-scale production systems. You will manage Kubernetes (EKS/GKE), service meshes, and observability stacks, building automation to reduce toil and define SLOs.

You will lead incident responses, drive blameless postmortems, and collaborate with product teams to improve deployment safety. The role requires 3–7 years in SRE/DevOps, deep Kubernetes experience, and strong IaC/CI/CD skills.

Competenze

• BS in Computer Science or equivalent practical experience.
• Hands-on experience with Kubernetes in production environments.
• Strong IaC skills using Terraform and CI/CD tooling.

Mansioni

• Design, build, and maintain production infrastructure on Kubernetes (EKS/GKE) with Terraform, Helm, and GitOps workflows.
• Define and implement SLOs, SLIs, and error budgets; drive alerting and escalation policies in Prometheus, Grafana, and PagerDuty.
• Lead incident response for production outages — triage, mitigation, root‑cause analysis, and blameless postmortems with concrete follow‑through.
• Automate away manual operations work by building self‑service tooling, runbooks, and automated remediation in Python or Go.
• Own capacity planning and performance tuning for core services, including load testing, database optimization, and cost/efficiency reviews.
• Improve CI/CD pipelines and deployment safety through canary releases, feature flags, and progressive rollouts.
• Partner with engineering teams on reliability reviews, chaos engineering exercises, and production readiness for new services.

Conoscenze

SRE fundamentals

Incident response

On-call experience

Load testing

Formazione

BS in Computer Science

Strumenti

Terraform

Kubernetes

Helm

ArgoCD

Prometheus

Grafana

OpenTelemetry

GitHub Actions

GitLab CI

Python

Go

Bash

Descrizione del lavoro

About The Role

The Site Reliability Engineer owns the health, performance, and uptime of large-scale distributed systems running in production — Kubernetes clusters, service meshes, and the observability stack that keeps them honest.

About The Role

The Site Reliability Engineer owns the health, performance, and uptime of large-scale distributed systems running in production — Kubernetes clusters, service meshes, and the observability stack that keeps them honest.
The team operates on the principle that reliability is a software problem: SREs build automation and tooling to eliminate toil, define SLOs that reflect real user experience, and partner with development teams to make every service safer to deploy and easier to operate.

Key Responsibilities

• Design, build, and maintain production infrastructure on Kubernetes (EKS/GKE) using Terraform, Helm, and GitOps workflows with ArgoCD
• Define and implement SLOs, SLIs, and error budgets; drive alerting and escalation policies in Prometheus, Grafana, and PagerDuty
• Lead incident response for production outages — triage, mitigation, root‑cause analysis, and blameless postmortems with concrete follow‑through
• Automate away manual operations work by building self‑service tooling, runbooks, and automated remediation in Python or Go
• Own capacity planning and performance tuning for core services, including load testing, database optimization, and cost/efficiency reviews
• Improve CI/CD pipelines and deployment safety through canary releases, feature flags, and progressive rollouts
• Partner with engineering teams on reliability reviews, chaos engineering exercises, and production readiness for new services

What We Are Looking For

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering roles operating production systems at scale
• Deep hands‑on experience with Kubernetes in production, including cluster operations, networking, autoscaling, and troubleshooting
• Strong infrastructure-as-code skills with Terraform and CI/CD experience (GitHub Actions, GitLab CI, or similar)Proficiency with observability tooling: Prometheus, Grafana, OpenTelemetry, distributed tracing, and log aggregation pipelines
• Solid scripting/programming skills in Python, Go, or Bash for building operational tooling
• Experience running on‑call and leading incident response for high‑traffic, customer‑facing systems; BS in Computer Science or equivalent practical experience
• Bonus: Experience with service meshes (Istio/Linkerd), chaos engineering tools, multi‑region failover architecture, or contributions to open‑source reliability tooling