Remote Locations

Job Summary

We are seeking a talented Software Engineer to join a Modeling and Simulation (M&S) development team supporting a large, complex, web-based analytics platform. This role involves working closely with software engineers, data scientists, and analysts to design and develop scalable analytics microservices within a next-generation modeling and simulation framework. The ideal candidate is an innovative, self-driven developer who can adapt quickly in a fast-paced, high-visibility development environment. Prior M&S domain experience is not required.

Required Skills

• Bachelors degree or higher in Computer Science, Computer Engineering, or a related field

• Strong communication and organizational skills

• U.S. citizenship with the ability to obtain and maintain a security clearance

Required Experience

• Minimum of 5 years of object-oriented programming experience in Python

• Familiarity with data description languages such as XML, YAML, and JSON

• Experience building HTTP-based web services using frameworks such as FastAPI

• Experience with source code management tools such as Git (GitHub, GitLab, or similar), Subversion, or Bitbucket

• Experience developing software for Linux-based platforms

• Familiarity with Kubernetes concepts and YAML-based configuration

• Containerization experience using Docker, Podman, CRI-O, or similar technologies

• Experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and working with multiple data formats

Desired Qualifications

• Familiarity with C/C++

• Experience with message queues (e.g., Kafka, RabbitMQ, Redis Streams) and caching systems (e.g., Redis, Memcached)

• Experience using multiprocessing or multithreading libraries

• Familiarity with identity, credential, and access management (ICAM) concepts and technologies such as OAuth2, JWT, Keycloak, or OpenID

• Experience working in Agile/Scrum or similar software development frameworks

• Experience using CI/CD and build tools such as Jenkins or similar systems