The Role
Manage and maintain AWS cloud infrastructure and CI/CD pipelines, deploying services on ECS (Fargate). Build and debug Docker containers, support backend Flask APIs, monitor systems, troubleshoot across APIs, databases, queues and infrastructure, and maintain runbooks and documentation.
Summary Generated by Built In
DevOps Engineer - AWS
Role Overview
Role Overview
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.
Core 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)
- 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)
Skills Required
- 4-6 years of professional software / DevOps / cloud engineering experience
- Proficiency in Python scripting (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)
- 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)
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The Company
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
