Cloud-Native Software Engineer Containerization & Microservices - Fully Cleared

Make an Impact Where It Matters Most
At Intelliforce, we’re looking for mission-driven engineers ready to tackle cutting-edge challenges in high-performance computing and artificial intelligence. We are currently seeking a Software Engineer Level 3 to support the design, development, and deployment of a Retrieval Augmented Generation (RAG) solution in a Linux-based HPC environment. This is a unique opportunity to contribute to groundbreaking AI efforts supporting critical national security initiatives.

• Analyze user requirements to derive software design and performance needs
• Design and develop new software or modify existing applications to improve functionality and performance
• Debug software, correct defects, and integrate components into new or existing systems
• Implement complex algorithms and develop event-driven and data-driven analytics
• Work within Agile development environments using CI/CD pipelines and source control tools
• Create and maintain documentation, conduct code reviews, and execute software test procedures
• Lead or support software development teams, contributing to design trade-offs and process improvement
• Ensure quality control and compliance with technical standards throughout development lifecycle

• Languages: Python, Golang, C, C++, JavaScript, Ruby, Perl
• Platforms & Tools: Linux CLI & shell scripting, Docker, PodMan, containerd, Kubernetes, Docker Compose
• Frameworks: Spring, Kafka, LLM orchestration tools, queue management systems
• DevOps & CI/CD: Git, GitLab CI, Prometheus, Grafana
• Databases: SQL, Elasticsearch, Vector databases (e.g., FAISS, Pinecone)
• AI/ML Focus: RAG pipelines, LLMs, embedding models, GPU-aware debugging
• Collaboration Tools: Atlassian suite (Confluence, Jira), Eclipse IDE
• Other: Cloud-based solutions, scientific analysis for software design, performance modeling

• Clearance: TS/SCI with Polygraph 
• Citizenship: Must be a U.S. Citizen
• Candidates must meet one of the following:
  • Master’s degree in Computer Science (or related) + 5 years of SWE experience
  • Bachelor’s degree in Computer Science (or related) + 7 years of SWE experience
  • 9+ years of professional experience as a SWE on similar programs of scope and complexity

• Experience with distributed data processing (e.g., Spark, Dask, Ray)
• Experience with HTMX or Hyperscript
• Familiarity with multi-node, multi-GPU model training
• Understanding of AI inference tools such as Nvidia NIM/TRITON or vLLM
• Demonstrated leadership in software engineering teams or technical mentorship

• Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
• Multiple medical plan options, including ones with zero deductible or premium for employees.
• Generous 401(k) with immediate vesting—because your future matters now.
• Exciting bonus opportunities, from profit sharing to quarterly awards and President’s Club recognition.
• A culture of collaboration, connection, and fun, with regular team activities that go beyond the work.

Equal Opportunity Matters
Intelliforce-IT Solutions Group, LLC is proud to be an Equal Opportunity/Affirmative Action Employer. U.S. Citizenship is required for most positions.
Need accommodations during the application process? We’re happy to help. Reach out to us at [email protected] with your specific request.