Backend Python Tech Lead

Join a cutting-edge project as a Backend Python Tech Lead, building secure, scalable services that power AI-assisted document review and release workflows. You'll architect and lead backend integration of generative AI systems that identify sensitive content, enforce contextual rulesets, and streamline human decision-making.

What you will do in this role:

• Work closely with teammates and stakeholders in a Lean Agile environment to build mission-critical production applications focused on data discovery and analysis
• Leading a team of engineers in technical decision making in a Sponsor facing environment
• Participate in code reviews, system design discussions, and continuous improvement initiatives
• Leverage modern build tools, testing frameworks, and CI/CD pipelines to ensure quality and delivery speed
• Design, implement, and test backend services and APIs using reactive programming concepts for production applications
• Integrate with cloud services and data platforms to expose high-value data through secure, performant interfaces
• Leverage DevSecOps pipelines, containers, and modern deployment tools to deliver software efficiently and reliably
• Work in both Herndon, VA and Chantilly, VA depending on team needs and meetings

You may thrive in this role if you have the following skills:

• Active TS/SCI with Polygraph
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions
• Experience designing and implementing scalable, maintainable, and OOP based software in a containerized cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking.
• Experience developing backend services using Python and a modern web framework such as FastAPI (preferred), Flask, Django, or Chalice
• Experience with testing frameworks such as PyTest (preferred) or unittest
• Experience with Python project management, dependency management tools, and build tools such as poetry (preferred), make, uv, pip, or conda
• Familiarity with API standards such as REST and HTTP, message-driven architectures, persistent storage layers, and distributed systems
• Effective written and verbal communication skills necessary to perform job duties and collaborate with team members

You may excel in this role if you have the following skills:

• Prior privileged access with Sponsor
• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• Contributions to open-source libraries or community projects or personal projects
• Experience with search technologies such as OpenSearch (preferred), Elasticsearch, or Solr
• Experience working with streaming or event-driven architectures such as SNS/SQS (preferred), Kafka, Kinesis, AWS Step Functions, or Event Bridge
• Knowledge of Infrastructure as Code (e.g., Terraform) and how to leverage DevSecOps pipelines to deliver code
• Experience working with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and integrating with commercial or custom generative AI services such as OpenAI, Azure Cognitive Services, or proprietary models.