Senior AWS Python Developer

Roles and Responsibilities Design, develop, and maintain scalable, highly available, and high-performance software systems. Write clean, efficient, well-tested, and reusable Python code following software engineering best practices. Develop and maintain cloud-native applications using AWS services and serverless architectures. Build and support event-driven architectures using message queues, topics, and asynchronous processing patterns. Design and optimize NoSQL database solutions, including DynamoDB, and work with relational databases such as MSSQL and PostgreSQL. Develop serverless applications using AWS Lambda, ECS, and AWS Step Functions. Implement software design patterns and architecture best practices to create maintainable solutions. Follow best practices for source control, automated testing, CI/CD pipelines, and deployment processes. Define, package, and deploy cloud infrastructure using AWS CDK. Collaborate with cross-functional teams to deliver high-quality solutions and meet project objectives. Manage project priorities, timelines, and deliverables while contributing to team meetings and technical discussions. Create technical documentation to support knowledge sharing and team collaboration. Utilize AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot to improve engineering productivity. Support deployment and management of applications in Kubernetes environments. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. 3+ years of professional experience developing production applications using Python. Strong experience with AWS cloud services and cloud-native application development. Experience designing and developing solutions using NoSQL databases (DynamoDB). Experience with relational databases such as MSSQL and PostgreSQL is preferred. Hands-on experience building serverless applications using AWS Lambda, ECS, and Step Functions. Strong understanding of event-driven architecture, messaging systems, and distributed application design. Experience with Git, unit testing, test-driven development (TDD), and CI/CD practices. Knowledge of Kubernetes deployment and cloud infrastructure management preferred. Experience with AWS CDK and infrastructure-as-code practices preferred. Familiarity with AI application development using platforms such as AWS Bedrock, Vertex AI, or Azure AI preferred. Experience with AI/ML frameworks and tools such as LangChain, vector databases, PyTorch, or TensorFlow preferred. Familiarity with Agile development methodologies, including stand-ups, sprint planning, estimation, and demos. Strong written and verbal communication skills. Experience with media file formats, video engineering, or media processing systems is a plus.