Python Developer

ECS Tech Inc•Fairfax, VA

7d•Remote

About The Position

ECS is seeking a Python Developer to work in our Fairfax, VA office or Remote. ECS is a leading provider of advanced technology solutions in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), data analytics, and enterprise transformation. As a segment of ASGN (NYSE: ASGN), we deliver mission-critical solutions to federal civilian, defense, intelligence, and commercial clients. With over 3,800 employees, ECS has been recognized as a Top Workplace by The Washington Post for six consecutive years. Our core values—Excellence, Drive, Grit, and Community—define who we are and how we serve our customers' most critical missions. About the Technology & Innovation Team The Technology & Innovation Team at ECS is at the forefront of developing cutting-edge AI-powered solutions and next-generation technology products that solve complex challenges for our federal and commercial customers. We operate in a fast-paced, agile environment where innovation meets mission impact. Role Overview We are seeking an experienced Python Developer to join our Technology & Innovation Team. This role will be instrumental in building enterprise-scale integrations, AI-powered tools, and robust data pipelines that form the foundation of our AI Delivery Engine ecosystem. The ideal candidate will have deep Python expertise, a strong commitment to code quality, and the ability to create maintainable library code that scales across multiple projects and teams.

Requirements

8+ years of hands-on Python development experience with demonstrated expertise in building production-grade applications
Strong experience with source control systems (Git) and branching strategies for collaborative development
Proven experience in Python unit testing frameworks (pytest, unittest) with a track record of maintaining high code coverage
Demonstrated ability to develop and maintain library code with clean APIs and well-structured modules
Proven track record working in enterprise-level environments with complex technical requirements and stakeholder management
Bachelor's degree in Computer Science, Software Engineering, or related field; or equivalent practical experience

Responsibilities

Extend and enhance existing AWS WAF CloudWatch integration and build new MCP servers for enterprise platforms
Develop MCP servers for Jira, SharePoint, GitLab, Azure DevOps, GitHub, and Salesforce
Design and implement server architectures that support seamless communication between AI agents and enterprise systems
Develop robust connectors and data pipelines to extract, transform, and analyze information from multiple enterprise repositories and project management systems
Build scalable data processing workflows that handle large volumes of information across distributed systems
Create reusable integration patterns that can be adapted for multiple enterprise platforms
Build Python-based tools that support "vibe coding" workflows and intelligent automation
Develop assessment tools including the Go-Pro Score tool and Catalyst Score business impact measurement systems
Collaborate with product teams to implement AI-assisted development capabilities
Create seamless integrations with Azure DevOps, Salesforce, and other Solution Accelerators
Design connector architectures that feed into centralized gateway systems
Implement authentication, authorization, and secure data handling across multiple platforms
Leverage existing software factory infrastructure to implement comprehensive testing strategies
Write and maintain unit tests to ensure high code coverage across all components
Integrate security scanning, static analysis, and reliability checks into development workflows
Contribute to continuous improvement of development standards and best practices
Contribute to AI-assisted documentation generation for developed components
Support the vision of having an AI Watchtower monitoring system for ongoing governance and anomaly detection
Create clear, maintainable code documentation and API specifications
Collaborate on building the underlying Platform, Data, and Reporting infrastructure
Design Python libraries and packages that support the entire AI Delivery Engine ecosystem
Implement service-oriented architecture patterns for distributed systems