> Markdown version of [/jobs/ext/4327073-software-engineer-swe-level-3](https://www.wearedevelopers.com/jobs/ext/4327073-software-engineer-swe-level-3). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (SWE), Level 3 - **Company:** Bitwise - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $282,000.0 - $332,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Confluence, JIRA, Signals Intelligence, Monitoring of Systems, Systems Analysis, Tensorflow, Prometheus, Software Engineering, AI Infrastructure, TorchServe, Istio, Delivery Pipeline, Grafana, Git, Kubernetes, Atlassian Tools, Linkerd (Service Mesh), Ollama, Triton Inference Server, LiteLLM, Machine Learning Operations, Hardware Infrastructure, VLLM, Software Version Control, Docker - **Published:** October 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=184fe36011a7718e ## About the Role * 12 years of experience in software engineering, OR a B.S. in a technical discipline plus 8 years of experience * Experience deploying and managing services in on-premises infrastructure environments * Production experience with service containerization and orchestration using Docker and Kubernetes * Hands-on experience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms * Knowledge of CI/CD pipelines and GitOps workflows * Proficiency with version control systems (git) * Working knowledge of Atlassian Tools (Jira, Confluence) Preferred Skills * Experience with model serving technologies (vLLM, TorchServe, TensorFlow Serving, Triton Inference Server) * Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama) * Experience with service mesh technologies (Istio, Linkerd) or advanced Kubernetes patterns * Awareness of the current AI/ML landscape, including emerging models, capabilities, and their applicability to different use cases * Knowledge of end-to-end SIGINT collection and analysis systems * Experience with production CNO capabilities and operations