Hiring Systems and Platform Engineer - Bethesda, MD onsite - TS/SCI CI Poly

Position Title: Systems and Platform Engineer

We are seeking a highly skilled platform engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize Kubernetes clusters that power enterprise AI for the mission of customers.

The work location is in Bethesda at the Intelligence Community Campus. TS/SCI with CI Poly is required for position or a TS/SCI and willingness to obtain a Poly.

Primary Responsibilities

Kubernetes Cluster Engineering: Design, configure, and maintain enterprise Kubernetes platforms . Collaborate with a multidisciplinary team to define and optimize Kubernetes architecture, ensuring they meet performance, efficiency, and feature requirements.

Infrastructure as Code : Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Salt, Ansible, Bash, Python or similar frameworks.

Collaborate with development teams to design and implement secure, automated, and repeatable pipelines (e.g., GitLab CI/CD).

Troubleshot complex systems issues across cloud, network, and platform layers.

Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

Basic Qualifications

5+ years in Platform Engineering or System Engineering experience.

Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle Linux, and Rocky).

Experience administering Kubernetes clusters, including deploying, scaling, and maintaining containerized workloads.

Hands-on experience creating, managing, and troubleshooting Docker containers and container images throughout the software development lifecycle.

Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).

Strong track record with consuming, and troubleshooting RESTful APIs for platform integration and automation.

Excellent problem-solving skills and the ability to collaborate within a team.

Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).

Preferred Qualifications

Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S).

Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, Nvidia AI Enterprise.

Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).

Familiarity with GPU virtualization and cloud computing.

Experience developing and deploying infrastructure in AWS.

Knowledge of distributed resource scheduling systems. (Slurm , LSF, Open MPI,etc.)

If this sounds someones like you, Apply Now! Feel free to call/text me at View phone number on us.fitly.work or email me at View email address on us.fitly.work

Delta System & Software, Inc. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications. We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Delta also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination, including harassment, because of race, color, sex, gender, age, religion or religious creed, national origin, ancestry, citizenship, marital status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law.