Software Engineer 3 - Linux/Python/Docker/Kubernetes/LLM/CI/CD/Grafana

Location: Annapolis Junction, MD; must be a U.S. citizen and currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph.

Annual salary: $130,000–$270,000, depending on years of experience.

Company

hirify.global develops timely, innovative software solutions supporting customers and the mission to protect the country.

What you will do

• Design, develop, deploy, and support solutions in a high-performance computing Linux environment.
• Develop and maintain production-ready, containerized applications using Python, Docker or Podman, Kubernetes, and Helm.
• Build Generative SI capabilities using LLMs, orchestration frameworks, RAG architectures, embedding models, and vector databases.
• Implement and maintain CI/CD pipelines and secure SI solutions for mission-critical environments.
• Configure observability, metrics, logging, and monitoring with tools such as Prometheus and Grafana.

Requirements

• Must be a U.S. citizen with a current Top Secret/SCI U.S. Government security clearance and favorable Polygraph.
• Master’s degree in Computer Science or a related discipline plus five years of relevant SWE experience; or bachelor’s degree plus seven years; or nine years of relevant SWE experience.
• Advanced Linux command-line experience for development, troubleshooting, and system administration.
• Recent hands-on Python software development experience and knowledge of modern engineering practices and frameworks.
• Experience with Docker, Podman, and containerized application packaging, deployment, lifecycle management, production support, and troubleshooting.
• Experience authoring and deploying Helm charts and managing Kubernetes Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators.
• Working knowledge of Generative SI technologies, including LLMs, RAG, embedding models, and vector databases.
• Experience with CI/CD tools such as GitLab CI/CD, Flux CD, GitLab Runners, or similar; Git workflows; automated testing; security scanning; code-quality analysis; SDLC and DevSecOps practices.
• Experience with observability, metrics, logging, and monitoring solutions including Prometheus and Grafana.

Nice to have

• Experience developing, deploying, troubleshooting, and sustaining mission applications in AWS.
• Experience with Confluence and Jira.
• Experience developing or debugging GPU-enabled applications.
• Experience with PyTorch, TensorFlow, KubeFlow, NeMo, PyTorch Lightning, or other machine-learning pipelines and frameworks.
• Experience with SQL, Elasticsearch, and vector databases.
• Knowledge of SI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment with Ray.

Culture & Benefits

• Direct hire only; third-party staffing and recruiting firms are not considered.
• Up to 20% 401(k) contribution, with no matching required and vesting from day one.
• Six weeks of paid time off.
• Company-paid medical, dental, vision, life, short-term and long-term disability, and AD&D insurance.
• $3,600 HSA contribution and above-market hourly rates.