Devops Engineer

We are looking for a hands-on DevOps Engineer with up to 4-6 years of experience to manage cloud infrastructure, CI/CD pipelines, and support backend systems. The ideal candidate should be comfortable working across infrastructure, containers, and application layers, with strong ownership and debugging skills.

Responsibilities

Design, implement, and maintain CI/CD pipelines using AWS CodePipeline and CodeBuild; Manage infrastructure using AWS CDK (Infrastructure as Code); Build, manage, and debug Docker containers; Deploy and manage services on ECS (Fargate); Work closely with backend services (Flask APIs, workers, scheduled tasks); Monitor systems using CloudWatch, Sentry, and alerting tools; Troubleshoot issues across APIs, databases, queues, and infrastructure; Manage and maintain MySQL (RDS) databases and schema changes; Maintain documentation, runbooks, and operational procedures; Collaborate via Git workflows (PRs, code reviews, branching strategies)

Requirements

4–6 years of professional software / DevOps / cloud engineering experience; Strong proficiency in Python scripting (comfortable reading and writing production code); Solid understanding of REST APIs and HTTP; Strong working knowledge of SQL (MySQL preferred) — queries, joins, indexes; Hands-on experience with Git workflows (branching, PRs, merge conflicts); Experience with CI/CD tools — AWS CodeBuild and CodePipeline; Strong experience with Docker (Dockerfile, running containers, debugging issues); Hands-on experience with AWS services: EC2, ECS, S3, RDS, Lambda, Secrets Manager; Experience working with ECS, RDS, and AWS CDK (CLI and deployments); Strong understanding of Infrastructure as Code (AWS CDK); Experience with CloudFormation or Terraform; Familiarity with Linux environments and command-line tools; Ability to troubleshoot across API, database, containers, and infrastructure layers; Strong ownership mindset and willingness to learn and take responsibility

Nice to have

Experience with Flask or any Python web framework (Django, FastAPI); Exposure to Redis (caching, queues); Experience with SQLAlchemy or any ORM; Familiarity with AI/LLM concepts (prompts, tokens, embeddings, agents); Familiarity with async Python (asyncio, httpx)