Python Developer- W2

W2 Only

Job Title- Python Developer

Work Location: Hybrid RESTON, Virginia(3 days-Onsite)

Visa: USC, Green Card, GC-EAD, H4-EAD Only

Interview: 1st video then Onsite Interview

Pay Rate: $50-58/hr. on W2

Need one Manager (Not Lead or colleague) references

Manager Name:-

Contact No.

Mail id:-

Company:-

Designation:-

LinkedIn URL (Must)

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

Best Regards,

jaideep.shastri@fustis.com