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.

• 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)

• 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

• 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)