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.

• 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.