Cloud Engineer: Cleared position - Belay Technologies
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 3, 2026.
Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026!
Belay Technologies is seeking a Cloud Engineer with strong hands-on experience in AWS cloud infrastructure, DevOps and MLOps to join our engineering team. The ideal candidate will have experience designing, implementing, automating, and maintaining scalable cloud infrastructure and modern CI/CD pipelines. This role will focus on Kubernetes-based deployments, GitOps practices, container management, data orchestration, and integration of OpenAI Large Language Models (LLMs) into cloud-based solutions.You should be comfortable working across cloud infrastructure, application deployment, automation and emerging AI/ML technologies.
Key Responsibilities
- Design, deploy, and manage scalable and secure AWS cloud infrastructure.
- Implement Infrastructure as Code (IaC) and infrastructure automation.
- Build, maintain, and optimize CI/CD pipelines using GitLab.
- Manage containerized applications and microservices using Docker and Kubernetes.
- Implement GitOps-based deployment strategies using ArgoCD.
- Manage container registries and artifact repositories using Harbor.
- Develop and support DevOps and MLOps workflows and automation.
- Integrate and manage data ingestion and processing workflows using Apache NiFi.
- Support the deployment, integration, and operational management of OpenAI APIs and LLM-based applications.
- Implement monitoring, logging, security, and performance optimization across cloud environments.
- Collaborate with software developers, data engineers, and AI/ML teams to deliver reliable and scalable solutions.
- Troubleshoot infrastructure, deployment, networking, and application-related issues.
Qualifications
- TS/SCI with polygraph
- Familiar with Terraform or CloudFormation.
- Experience with observability tools such as Prometheus and Grafana.
- Understanding of secure cloud architecture and DevSecOps practices.
- Experience deploying and managing AI/ML workloads in cloud environments.
- Knowledge of Python or Bash scripting.
Perks and Benefits:
- 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!
At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development.
Salary Range: $168,000 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.