Sr. Application Developer
Summary
Senior developer who designs and maintains Python microservices and AWS infrastructure, modeling workflows with Step Functions, provisioning via CDK, and building containerized REST APIs. Daily work spans CI/CD pipelines, testing, code reviews, and CloudWatch/CloudTrail observability in an Agile SDLC team.
Development & Infrastructure
- Develop and maintain Python-based microservices and AWS infrastructure using CDK
- Model complex business workflows with AWS Step Functions
- Build containerized applications with RESTful APIs
- Implement comprehensive logging, monitoring, and audit trails (CloudWatch, CloudTrail)
Quality & Collaboration
- Conduct code reviews focused on maintainability, performance, and best practices
- Write unit tests and integration tests; perform code remediation
- Contribute to architecture decisions and maintain technical documentation
- Collaborate with stakeholders to translate business requirements into technical solutions
Required Qualifications
Education & Experience
- BS in Computer Science/IT or equivalent work experience
- 7+ years software development experience with SDLC and Agile methodologies
Core Technical Skills
- Python: Production-grade development with modern frameworks and testing libraries
- AWS CDK: Infrastructure-as-code for multi-environment deployments
- CI/CD: Hands-on pipeline creation and management for cloud applications
- API Design: RESTful service design, versioning, and error handling
- Version Control: Git workflows, branching strategies, merge request reviews
Technical Stack
Primary (daily use expected):
- Python 3.9+, AWS Lambda, Step Functions
- IaC: CDK, Terraform experience
- DynamoDB, S3, API Gateway, CloudWatch, CloudTrail
- SNS/SQS, EventBridge
- Docker, Git/GitLab
Secondary (nice to have):
- Frontend: Angular or React (TypeScript)
- AWS Services: Athena, Glue, Load Balancers
Productivity Tools (Plus)
AI-Assisted Development
- Experience using AI coding assistants such as Claude Code for:
o Code review and optimization suggestions
o Documentation generation
o Debugging and troubleshooting
o Test case development
- Ability to critically evaluate and adapt AI-generated code