Python Developer

Hybrid in Reston, VA, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
No Travel Required
Able to Sponsor
On-site
$70 - $80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Python
  • AWS
  • Flask
  • Fast API

Summary

We are seeking a Senior Python Full Stack Engineer to support the design, development, and scaling of cloud-native applications. The role involves working across the stack using Python and modern frontend frameworks, with a strong focus on building robust APIs and distributed systems on AWS (Lambda, ECS, RDS, etc.).
The ideal candidate should have demonstrated experience in owning end-to-end development, delivering production-grade solutions, and contributing to system architecture, performance optimization, and reliability. The engineer will collaborate with cross-functional teams to ensure high-quality, scalable, and maintainable implementations. We are looking for candidates with a strong foundation in clean code practices, scalable system design, and cloud-native development, along with experience working with LLM models and integrating AI-driven capabilities into applications. Skills:
Proven experience developing and deploying production-grade applications
Experience working with LLM models and integrating AI-driven capabilities into applications
Strong proficiency in Python and backend frameworks such as FastAPI, Flask
Experience building full-stack applications using modern frontend frameworks (e.g., React, Angular, or Vue.js)
Solid understanding of RESTful APIs, microservices architecture, and distributed systems
Hands-on experience with databases (SQL and NoSQL) such as PostgreSQL, DynamoDB
Strong experience with AWS services, including EC2, ECS, Lambda, RDS, S3, API Gateway, DynamoDB, ALB, Batch, and EFS
Experience with cloud-native architectures, containerization (Docker), and orchestration (Kubernetes)
Experience with CI/CD pipelines, Git, and platforms such as GitLab
Proficiency in Software Development Lifecycle (SDLC) best practices
Experience with infrastructure as code using tools like Terraform
Strong understanding of software design principles, data structures, and algorithms
Experience with automated testing, including unit and integration testing, and maintaining high code quality through code reviews
Ability to design and optimize systems for performance, scalability, and reliability
Experience processing large-scale data in formats such as JSON, XML, and Parquet
Experience using AI-assisted coding tools (e.g., GitHub Copilot or similar)
Strong problem-solving skills and ability to work in an agile, collaborative environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL61687
  • Position Id: 8921423
  • Posted 4 hours ago
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