Senior Full stack Python Developer (Angular)

Role: Senior Full stack Python Developer (Angular)

Location: Reston, VA(Onsite)

Full Time/Contract

About Smart IT Frame

At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.

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 with 8-10 years of experience
• 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

• 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

📩 Apply today or share profiles at ajayjoshuva.p@smartitframe.com