AWS Python Developer
Reston, VA
6+ Months
Hybrid, 3 days onsite, 2 days offsite
Need F2F interview
Position Summary
The Python Developer will design, develop, test, and implement cloudnative 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 dataprocessing 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 eventdriven, serverless, and containerized architectures
Familiarity with distributed systems patterns such as retries, deadletter 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 infrastructureascode
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)
AIAssisted Development Tools (Required Competency)
To support modern engineering productivity and code quality standards, candidates must:
Demonstrate familiarity with GitHub Copilot or comparable AIassisted 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 skil
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 Lambdabased 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 nontechnical stakeholders
Strong analytical and problemsolving capability
Demonstrated ability to navigate, understand, and improve existing codebases
Understanding of design patterns and architectural principles
Focus on reliability, scalability, automation, and longterm maintainability
Ability to collaborate in Agile teams and provide highquality documentation
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