Job Specifications
**ONLY LOCALS TO DMV AREA AND ONLY ON W2**
Full Stack/Python Developer 3 days onsite, Reston, VA
F2F IS A MUST
Java/Python, AWS, DevOps and AI/ML Experience is required.
Position Summary
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
About the Company
KMM Technologies, inc (KMM) is your Partner for Innovation, Integration, and Results KMM provides high-quality IT consulting services and innovative solutions by using the most effective and modern technologies. We have a core group of Subject Matter Experts with certifications and immense experience in successfully delivering mission critical solutions. We have extensive industry experience in the financial, insurance, Health IT, media, marketing, retail, and government markets. We have a proven track record in understandin...
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