Custom Software Engineer

Work you'll do:

• Technical Leadership & Architecture: Contribute to the design and development of robust, scalable, and secure backend systems and event-driven APIs using FastAPI.
• Hands-on Development & Code Quality: Participate in code and technical design reviews to ensure high standards for quality, performance, and security are met.
• Deploy AI Models: Collaborate with data scientists and ML engineers to integrate, containerize, and deploy AI/ML models (e.g., NLP, recommendation engines, generative AI) into production environments.
• Containerization & Orchestration: Engineer containerized applications for deployment on cloud platforms using Kubernetes.
• Asynchronous Processing & Distributed Systems: Design for scale using asynchronous processing and task queues (such as Celery, RabbitMQ, Kafka) to handle long running or unreliable tasks independently from the main API.

Here's what you'll need:

• 4 to 7+ years of professional experience in one or more of the following areas:
  • Python, with knowledge of the libraries and frameworks that make up the Python ecosystem.
  • Designing and implementing RESTful APIs using tools like FastAPI.
  • Asynchronous task processing tools like Celery and RabbitMQ.
  • Strong working knowledge of Docker and Kubernetes for building and deploying scalable, cloud-native applications.
  • Familiarity with distributed data orchestration and processing pipelines, using tools like Spark and Airflow.
  • Relational databases like PostgreSQL.
  • CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and/or deploying applications within the Linux ecosystem.
  • Optimizing resources across cloud deployments for cost and performance benefit.

Security clearance:

• Active TS/SCI with Poly clearance is required