Infrastructure Engineer/SRE ID82561

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for an Infrastructure Engineer/SRE to design, build, and maintain cloud environments, including infrastructure as code, Kubernetes deployments, and the observability stack. MUST HAVES - At least 4+ years of hands-on experience designing and operating infrastructure on a major cloud platform (AWS, GCP, or Azure). - Proven expertise building and managing infrastructure using Terraform. - Demonstrated experience using GitOps practices (e.g., ArgoCD or Flux) for automated deployments. - Experience deploying, configuring, and managing production Kubernetes clusters. - Proficiency in Python programming for infrastructure automation and tooling. - Direct experience configuring and operating any of the following: - Grafana (dashboards and metrics visualization) - Loki (log aggregation) - Thanos (Prometheus long-term storage and high availability) - Tempo (distributed tracing) - Demonstrated background in designing and testing High Availability (HA) architectures and Disaster Recovery (DR) failover plans. - Upper-intermediate English level. NICE TO HAVES - Familiarity with additional languages such as Go (Golang) or Rust for cloud tools. - Experience with Service Mesh technologies (Istio, Linkerd). - Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD). - Cloud certifications (e.g., AWS Certified Solutions Architect - Professional, GCP Professional Cloud Architect). WHAT YOU WILL DO - Cloud & Infrastructure as Code: Provision, manage, and scale cloud infrastructure using Terraform. - GitOps & Kubernetes: Deploy and maintain production Kubernetes clusters using declarative GitOps workflows. - Automation Engineering: Write production Python code to create custom tools, automation scripts, and platform integrations. - Observability: Maintain system telemetry using Grafana, Tempo, Loki, and Thanos for logging, metrics, and tracing. - High Availability & Disaster Recovery: Implement and test HA and DR strategies to satisfy strict uptime and recovery requirements. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Meet Our Recruitment Process Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer.