Site Reliability Engineer

Evlo AI; Austin (TX); Sur place; USD 120 000 - 190 000; Plein temps

Résumé du poste

Evlo AI is looking for a hands‑on SRE/DevOps engineer to keep production systems running at scale across cloud and on‑prem environments. You will treat operations as code, write SLOs, enforce error budgets and drive continuous reliability improvements.

You will design scalable infrastructure with Kubernetes, Terraform and CI/CD tooling, while instrumenting services with Prometheus, Grafana, and OpenTelemetry to deliver actionable dashboards and alerts.

Qualifications

• 3–8 years of experience in SRE, DevOps or infra engineering on large systems.
• Hands-on with Kubernetes, Docker and an infrastructure‑as‑code tool.
• Programming or scripting skills in Python, Go or Bash for tooling.

Responsabilités

• Own reliability, observability and performance across cloud and on‑prem environments.
• Design and enforce SLOs/SLIs, drive incident response and post‑mortems.
• Instrument services with Prometheus, Grafana and OpenTelemetry for dashboards and alerts.
• Reduce toil via automation in Python/Go and CI/CD pipelines (GitHub Actions, ArgoCD).
• Lead blameless incident reviews and on‑call rotations with real compensation.

Connaissances

Kubernetes

Docker

IaC tools

Python/Go/Bash

Observability stacks

On-call experience

Formation

Bachelor's degree in CS

Outils

Prometheus

Grafana

OpenTelemetry

GitHub Actions

ArgoCD

Terraform

Pulumi

CloudFormation

Datadog

Splunk

Description du poste

About The Role

The role keeps production systems running at scale - owning the reliability, observability, and performance of infrastructure that serves millions of requests per day across cloud and on-prem environments.

This is a hands‑on engineering position, not a ticket queue. The team treats operations as a software problem: SLOs are written, error budgets are enforced, and automation replaces toil wherever it exists.

Key Responsibilities

• Build and maintain scalable infrastructure on Kubernetes (EKS/GKE), Terraform, and AWS/GCP, treating everything as version‑controlled code
• Design and enforce SLOs, SLIs, and error budgets; drive incident response, post‑mortems, and concrete reliability improvements from every outage
• Instrument services with Prometheus, Grafana, and OpenTelemetry to deliver actionable dashboards and alerting across the stack
• Reduce toil through automation in Python and Go - capacity planning, failover, auto‑remediation, and deployment tooling built on CI/CD pipelines (GitHub Actions, ArgoCD)
• Optimize system performance at every layer: Linux tuning, load balancing, database scaling, caching strategies, and cost‑efficient cloud usage
• Lead blameless incident reviews and serve as primary responder on a rotating on‑call schedule with real compensation for pages
• Partner with product and platform engineers on system design reviews, capacity modeling, and production readiness for new services

What We Are Looking For

• 3–8 years of experience in SRE, DevOps, or infrastructure engineering, including operating large‑scale production systems
• Deep hands‑on expertise with Kubernetes, Docker, and at least one infrastructure‑as‑code tool (Terraform, Pulumi, CloudFormation)
• Strong programming or scripting skills in Python, Go, or Bash for tooling and automation
• Production experience with observability stacks: Prometheus/Grafana, Datadog, or Splunk, including building custom metrics and alerts
• Proven track record running on‑call, leading incident response, and writing rigorous post‑mortems that drive systemic fixes
• Solid grasp of distributed systems fundamentals: consistency, availability trade‑offs, DNS, load balancing, and failure modes at scale
• Bonus: Experience with service meshes (Istio, Linkerd), GitOps workflows, multi‑region failover architectures, chaos engineering, or a background in backend software engineering. Bachelor's degree in CS or equivalent practical experience.