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Job Description
Description The DevOps Engineer will design, build, and maintain secure, scalable, and highly available cloud infrastructure while accelerating delivery of features through automation, CI/CD, and observability. You'll be a force multiplier for engineering teams, ensuring systems are fast, resilient, and easy to operate.
Key Responsibilities:
+ Build, expand, and optimize cloud infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (Terraform, Pulumi, CloudFormation, CDK) + Design and implement CI/CD pipelines that enable multiple daily deployments with zero downtime (GitHub Actions, GitLab CI, ArgoCD, Jenkins, CircleCI) + Automate everything: configuration management (Ansible, Chef, Puppet), application deployments, self-healing systems, and security hardening + Own production reliability: monitoring, alerting, log management, and on-call response (Datadog, Prometheus+Grafana, New Relic, PagerDuty, Opsgenie) + Drive progressive delivery practices: blue-green, canary, feature flags, and rollback strategies + Perform capacity planning, cost optimization, and performance tuning across compute, storage, and networking + Collaborate in project planning to evaluate technical feasibility, risks, and delivery trade-offs + Harden systems and pipelines for security and compliance (IAM, Vault, Trivy, Snyk, OPA/Gatekeeper) + Document architectures, runbooks, and processes while mentoring engineers on DevOps best practices Requirements + Bachelor's degree in Computer Science, Engineering, or equivalent experience + 3-7+ years of hands-on DevOps/SRE/Platform Engineering experience + Expert-level Infrastructure as Code (Terraform preferred) and configuration management (Ansible strongly preferred) + Deep experience with container orchestration (Kubernetes/EKS/GKE/AKS) and Docker + Strong CI/CD pipeline design and troubleshooting (GitHub Actions, ArgoCD, Flux, Jenkins) + Proficiency in at least one major cloud provider (AWS is a plus) + Solid scripting/programming skills (Python, Go, Bash) + Experience with observability stacks (metrics, logs, traces) and incident response
