Python Developer

• The Senior Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS.
• The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation.
• The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions.

Required Technical Qualifications:

Python Development:

• Strong proficiency in Python for backend service development.
• Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages.
• Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization.
• Understanding of clean code principles, error handling, type hints, and maintainable design.

API Engineering:

• Hands-on experience building RESTful APIs using Flask, Django, or FastAPI.
• Knowledge of authentication and authorization mechanisms (JWT, OAuth2).
• Experience implementing API versioning, request validation, and structured error handling.
• Understanding of performance considerations such as throughput, latency, and caching.

AWS Cloud Services:

• Practical experience with key AWS services including Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch.
• Ability to design event driven, serverless, and containerized architectures.
• Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations.
• Experience monitoring applications via CloudWatch metrics, logs, and alarms.

Infrastructure, DevOps, & Tooling:

• Hands-on experience with GitLab for version control and CI/CD pipeline development.
• Experience using Terraform (or similar) for infrastructure as code.
• Proficiency with Docker for containerized application development.
• Ability to use shell scripting and AWS CLI for operational automation.
• Familiarity with Agile development workflows (Jira, Confluence).

AI Assisted Development Tools (Required Competency):

To support modern engineering productivity and code quality standards, candidates must:

• Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools
• Use AI tools responsibly to:
• Accelerate development while maintaining code correctness
• Generate and refine unit tests and integration test scaffolding
• Improve readability, documentation, and boilerplate reduction
• Assist with refactoring, code reviews, and exploratory coding
• Understand organizational expectations around responsible AI usage, including validation, security, and compliance
• This is a mandatory requirement, not a bonus skill.

Data Engineering Skills (Required):

Candidates are expected to have practical exposure to foundational data engineering concepts, including:

• Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows.
• Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL).
• Ability to optimize SQL queries (joins, aggregations, window functions).
• Understanding of data modeling, data validation, and schema evolution.
• Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization.
• Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON).

Front-End Exposure (Preferred, Not Required):

• Basic familiarity with Angular, particularly for integrating backend APIs.
• Ability to read and modify UI components when needed.

Soft Skills & Engineering Mindset:

• Ability to communicate effectively with technical and non-technical stakeholders.
• Strong analytical and problem-solving capability.
• Demonstrated ability to navigate, understand, and improve existing codebases.
• Understanding of design patterns and architectural principles.
• Focus on reliability, scalability, automation, and long-term maintainability.
• Ability to collaborate in Agile teams and provide high quality documentation.

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