DevOps Engineer

DevOps Engineer
Remote
May 20, 2025
Full Time
Application ends: August 20, 2025

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Job Description

We’re looking for a DevOps Engineer who thrives in environments with complex microservices, high CI/CD throughput, and observability challenges. This role isn’t about babysitting Jenkins or clicking around cloud dashboards — you’ll be designing resilient pipelines, managing container-based deployments at scale, and working closely with backend engineers to eliminate friction between code and production.

Key Responsibilities

  • Pipeline Engineering: Refactor and maintain our GitHub Actions + ArgoCD pipelines for a monorepo setup serving over 40 microservices.
  • IaC Ownership: Own and expand our Terraform modules for provisioning VPCs, EKS clusters, ALBs, and secrets in AWS across multiple environments.
  • Container Orchestration: Manage Helm-based deployments on EKS; create reusable Helm charts with dynamic templating logic for service-specific needs.
  • Incident Readiness: Implement proactive observability using Prometheus, Loki, Grafana, and custom metrics dashboards. On-call participation (1 week every 6 weeks).
  • Secrets and Configuration Management: Enforce GitOps-based secrets handling with SOPS and Sealed Secrets; maintain secure integration patterns across dev, staging, and prod.
  • Cross-Team Collaboration: Work with SREs and Backend Engineers to implement blue/green and canary deployments with traffic shaping in Istio.
  • Security Integration: Integrate SAST/DAST tools into the CI pipelines and automate policy checks for infrastructure changes via OPA/Gatekeeper.

Requirements

  • 3–5 years of DevOps experience, preferably supporting SaaS products at scale
  • Hands-on with Kubernetes, including debugging pod/container/network issues
  • Proficiency in Terraform, Helm, and managing AWS infrastructure (EC2, EKS, RDS, S3, IAM)
  • Familiar with GitHub Actions, ArgoCD, and Docker build optimizations
  • Strong understanding of Linux internals and how system-level decisions affect cloud deployments
  • Comfortable writing scripts/tools in Python or Go for deployment automation and tooling
  • Experience with monitoring stacks: Prometheus, Grafana, Loki, Alertmanager
  • Practical knowledge of zero-downtime deployment strategies and rollback automation

Nice-to-Haves

  • Prior experience with service mesh tools like Istio or Linkerd
  • Experience setting up OPA policies and enforcing governance in Kubernetes
  • Familiarity with cost optimization strategies in AWS
  • Exposure to machine-level debugging for performance or memory issues

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