Senior Software Engineer
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Description
Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026!
Belay Technologies is seeking a Software Engineer to join our intel team. You will act as a Software Engineer with a focus on DevOps, platform engineering, and infrastructure automation for a high-impact mission delivering AI/ML capabilities to end users. Your work will center on building reliable, scalable infrastructure and deployment pipelines rather than application development, ensuring continuous availability of mission-critical services through infrastructure-as-code, containerization, and orchestration. You will implement comprehensive observability and monitoring solutions that track system health and user usage patterns. Collaborating with data scientists and system administrators, you will own the platform layer that enables rapid, resilient delivery of AI technologies to the mission.Responsibilities:
- Deploy and manage containerized AI/ML services using Kubernetes in on-premises environments.
- Interact with mission stakeholders to elicit requirements and devise solutions.
- Implement observability and monitoring solutions using Prometheus, Grafana, and related tooling to track system health and usage metrics.
- Build and maintain CI/CD pipelines and infrastructure-as-code to enable reliable, automated deployment of platform services.
- Design and implement resilient infrastructure patterns to ensure high availability and performance of mission-critical capabilities.
- Collaborate with stakeholders to translate operational and reliability requirements in platform engineering solutions.
- TS/SCI Clearance with polygraph
- 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
- Experience deploying and managing services in on-premises infrastructure environments.
- Service containerization and orchestration with Docker/Kubernetes in production environments.
- Experience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms.
- Knowledge of CI/CD pipelines, GitOps workflows
- Service containerization and deployment with Docker/Kubernetes.
- Experience with version control (git).
- Atlassian Tools (Jira, Confluence).
- Experience with model serving technologies (vLLM, TorchServe, TensorFlow Serving, Triton Inference Server).
- Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama).
- Knowledge of service mesh technologies (Istio, Linkerd) or advanced Kubernetes patterns.
- Awareness of current AI/ML landscape including emerging models, capabilities, and applicability to different use cases.
- Knowledge of end-to-end SIGINT collection and analysis systems.
- Experience with production CNO capabilities and operations.
- 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program
- 10% matching in 401(k) contributions vested on day one
- $5,000 annual training/tuition
- Student Loan Repayment Program
- 100% company-funded HSA
- Rich medical coverage (100% coinsurance)
- Dental coverage including orthodontia
- Up to $420,000 in life insurance, premiums 100% company funded
- Amazon Prime, gym reimbursement, monthly lunches, games and prizes
- Pet adoption program, generous referral bonus program, fun events, and more!
Salary Range: $190,000 to $240,000
Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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