Site Reliability Engineer

Evlo AI; New York (NY); Presencial; USD 140 000 - 180 000; Tempo integral

Resumo da oferta

Evlo AI is seeking an experienced SRE/DevOps professional to own reliability and infrastructure for millions of daily requests. You will collaborate with software engineers to define SLOs, automate toil, and ensure blameless incident response across distributed microservices.

Responsibilities include building IaC with Terraform and Kubernetes, designing end-to-end observability with Prometheus, Grafana, and OpenTelemetry, and leading incident postmortems.

Qualificações

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering, including running production systems at meaningful scale.
• Deep hands-on expertise with Kubernetes and containerized workloads in production — not just certification-level knowledge
• Strong proficiency in at least one of: Go, Python, or Bash for tooling and automation
• Production experience with IaC (Terraform), CI/CD systems, and cloud platforms (AWS preferred)
• Solid understanding of distributed systems failure modes: networking, DNS, load balancing, caching, and cascading failures
• Track record of incident response and postmortem practice; ability to stay structured under pressure
• Bonus: experience with service meshes (Istio/Linkerd), chaos engineering, multi-region architectures, or contributions to open-source reliability tooling

Responsabilidades

• Build and maintain infrastructure as code using Terraform and Kubernetes (EKS/GKE), managing clusters that run hundreds of production services
• Define, measure, and enforce SLOs and error budgets; drive reliability reviews with product teams before launches
• Design observability from the ground up — Prometheus, Grafana, and distributed tracing with OpenTelemetry — so every incident is diagnosable in minutes
• Lead incident response as a primary responder and incident commander; write blameless postmortems and track remediation to completion
• Automate away toil: build self-service tooling, CI/CD pipelines (GitHub Actions/ArgoCD), and runbook automation that reduces manual operations work measurably each quarter
• Capacity plan and cost-optimize cloud infrastructure (AWS/GCP), managing multi-million dollar spend without sacrificing resilience
• Participate in a humane on-call rotation; continuously improve alerting quality to eliminate noisy, low-signal pages

Conhecimentos

Kubernetes

Terraform

Go

Python

Bash

CI/CD

AWS

GCP

Prometheus

Grafana

OpenTelemetry

Incident response

GitHub Actions

ArgoCD

Ferramentas

GitHub Actions

ArgoCD

Descrição da oferta de emprego

About The Role

The role keeps large-scale production systems running — owning the reliability, observability, and infrastructure that serve millions of requests per day across distributed microservices.

The role keeps large-scale production systems running — owning the reliability, observability, and infrastructure that serve millions of requests per day across distributed microservices. You will work with software engineers to turn reliability into a product: defining SLOs, eliminating toil through automation, and making incident response fast, calm, and blameless. When something breaks at 3 AM, this role is why the fix takes minutes, not hours.

Key Responsibilities

• Build and maintain infrastructure as code using Terraform and Kubernetes (EKS/GKE), managing clusters that run hundreds of production services
• Define, measure, and enforce SLOs and error budgets; drive reliability reviews with product teams before launches
• Design observability from the ground up — Prometheus, Grafana, and distributed tracing with OpenTelemetry — so every incident is diagnosable in minutes
• Lead incident response as a primary responder and incident commander; write blameless postmortems and track remediation to completion
• Automate away toil: build self-service tooling, CI/CD pipelines (GitHub Actions/ArgoCD), and runbook automation that reduces manual operations work measurably each quarter
• Capacity plan and cost-optimize cloud infrastructure (AWS/GCP), managing multi-million dollar spend without sacrificing resilience
• Participate in a humane on-call rotation; continuously improve alerting quality to eliminate noisy, low-signal pages

What We Are Looking For

• 3–7 years of experience in SRE, DevOps, or infrastructure engineering, including running production systems at meaningful scale
• Deep hands-on expertise with Kubernetes and containerized workloads in production — not just certification-level knowledge
• Strong proficiency in at least one of: Go, Python, or Bash for tooling and automation
• Production experience with IaC (Terraform), CI/CD systems, and cloud platforms (AWS preferred)
• Solid understanding of distributed systems failure modes: networking, DNS, load balancing, caching, and cascading failures
• Track record of incident response and postmortem practice; ability to stay structured under pressure
• Bonus: experience with service meshes (Istio/Linkerd), chaos engineering, multi-region architectures, or contributions to open-source reliability tooling