Design and implement new services using Python and modern frameworks (Django or FastAPI).
Collaborate with the architecture team to produce robust, portable, and interoperable solutions.
Work with the Information Security team to ensure applications meet security and compliance requirements.
Architect and develop gRPC-based microservices for scalable systems.
Build and maintain Big Data workflows and pipelines.
Implement and operate services on AWS, including DynamoDB, Lambda, and managed services.
Integrate and optimize SQL databases such as Aurora and MySQL with key-value stores like DynamoDB.
Use caching solutions such as Redis or ElastiCache to improve performance.
Triage, debug, and resolve software defects; reduce technical debt in existing codebases.
Apply design patterns and algorithmic optimizations to improve system performance and reliability.

Expert proficiency in Python and Python frameworks (Django or FastAPI).
Proven experience with Big Data workflows and related development.
Proficiency with AWS services including DynamoDB, managed services, and Lambda functions.
Working experience with SQL databases such as Aurora and MySQL.
Working experience with key-value stores (DynamoDB) and caching solutions (Redis or ElastiCache).
Experience architecting and developing gRPC-based microservices.
Strong understanding of algorithms, data structures, and performance optimization.
Comprehensive knowledge of design patterns and when to apply them.
Understanding of accessibility standards and security compliance in software development.
Demonstrated ability to collaborate with architecture and security teams to deliver production-ready services.

Python Engineer, AWS

Key skills