Requirements: — Proficiency in leveraging AI-powered tools to automate and accelerate DevOps workflows. — 3 + years of hands-on DevOps experience in production environments. — Extensive experience with AWS (GCP or Azure is a plus). — Strong expertise in Terraform and Kubernetes (both on-premises and in the cloud). — Solid experience with Helm and Docker. — CI/CD pipeline design and maintenance using Jenkins and/or GitLab CI; excellent Git skills. — 5 + years working with Linux systems. — Proven track record building highly available, scalable, and reliable infrastructure. — Good understanding of networking fundamentals. — Proficiency in scripting (Bash, Python, or Go). — Experience administering PostgreSQL, MongoDB, and Redis. — Hands-on with monitoring/alerting stacks such as Prometheus, Grafana, Zabbix, or CloudWatch. — Configuration-management expertise with Ansible. — Self-sufficient, highly hands-on engineer and an excellent team player with strong communication skills. — Comfortable working in a fully remote, distributed team.
Responsibilities: — Support and maintain several existing projects and their infrastructure. — Drive DevOps activities for new projects from inception to production. — Investigate and resolve infrastructure-related issues and incidents. — Design and provision infrastructure using Terraform (EKS/Kubernetes, Docker Compose, AKS, etc.). — Containerize applications and prepare robust CI/CD pipelines for automated deployment. — Troubleshoot performance, reliability, and security issues across the stack. — Migrate legacy infrastructure to Terraform-based infrastructure-as-code. — Continuously improve automation, observability, and reliability—leveraging AI tools wherever they add value.
