Backend Python Software Engineer (Polygraph Required)

Join us in transforming a manual content review process into a streamlined, self-service solution using Generative AI. We're automating the review of resumes, presentations, and books by applying AI to classification and release rules-cutting down review time and increasing efficiency. If you're excited about applying AI to make real-world processes faster and smarter, this mission is for you.

What you will do in this role:

• 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 closely with teammates and stakeholders in a Lean Agile environment to build mission-critical production applications focused on data discovery and analysis
• 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

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

• Active TS/SCI with poly
• 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
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions

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

• 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.
• 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
• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• 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.
• Contributions to open-source libraries or community projects or personal projects