5+ years in Platform Engineering or Systems Engineering with a relevant degree or equivalent experience.
Strong expertise in Linux distributions like RHEL, Ubuntu, and Oracle Linux.
Experience administering and managing Kubernetes clusters and containerized workloads.
Hands-on experience with Docker containers throughout the software development lifecycle.
Familiarity with AI/ML workflow orchestration tools such as Argo and Kubeflow.
Proficient in troubleshooting RESTful APIs for platform integration.
Excellent problem-solving and team collaboration skills.
Responsibilities
Design and maintain enterprise Kubernetes platforms for optimal performance.
Develop Infrastructure as Code using tools like Terraform and Ansible.
Implement secure, automated CI/CD pipelines in collaboration with development teams.
Troubleshoot complex systems issues across various layers.
Maintain technical documentation and ensure compliance with federal security standards.
Benefits
100% company-paid medical, dental, and vision premiums for employees and dependents.
401(k) plan with immediate vesting and a total of 8% company contribution.
Up to 20 days of flexible paid time off (PTO) and 11 paid floating holidays.
Flexible work schedules, including options for flex time and compressed work periods.
Full Job Description
Requisition ID: 5488
Standard Title:
Required Security Clearance: Top Secret/SCI
Location: Bethesda, MD
Work Type: On-Site
Shift: First
Referral Eligibility: Eligible
U.S. Citizenship Required? Yes
Position Summary
Base-2 Solutions is seeking a Platform Engineer to design, develop, and optimize Kubernetes platforms supporting enterprise artificial intelligence capabilities for mission customers. The role requires deep expertise in operating systems, hardware, GPUs, and high-speed networking and is performed 100% on-site at the customer site in Bethesda, Maryland, at the Intelligence Community Campus. Essential Duties and Responsibilities
Design, configure, and maintain enterprise Kubernetes platforms and collaborate with multidisciplinary teams to optimize Kubernetes architecture for performance, efficiency, and feature requirements.
Develop and manage Infrastructure as Code using tools such as Terraform, Salt, Ansible, Bash, Python, or similar frameworks.
Collaborate with development teams to design and implement secure, automated, and repeatable CI/CD pipelines, including GitLab CI/CD.
Troubleshoot complex systems issues across cloud, network, and platform layers.
Maintain technical documentation, architectural specifications, and Linux best practices; support Authority to Operate activities and compliance with federal security standards.
Required Qualifications
Platform Engineering or Systems Engineering experience meeting an applicable education and experience pathway in the equivalency section.
Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle Linux, and Rocky Linux.
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, including Argo, Airflow, and Kubeflow.
Experience consuming and troubleshooting RESTful APIs for platform integration and automation.
Excellent problem-solving skills and the ability to collaborate within a team.
U.S. citizenship.
Preferred Qualifications
Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, 200, B300, and L40S.
Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, and NVIDIA AI Enterprise.
Knowledge of enterprise server components, including storage and network controllers, HBAs, and SSDs.
Familiarity with GPU virtualization and cloud computing.
Experience developing and deploying infrastructure in AWS.
Knowledge of distributed resource scheduling systems such as Slurm, LSF, and Open MPI.
Required Education and Experience Equivalency
Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field with 5+ years in Platform Engineering or Systems Engineering experience.
Additional years of Platform Engineering or Systems Engineering experience in lieu of a degree.
Required Certifications
Candidates 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, including CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, or CCSP.
Required Security Clearance
Active Top Secret/SCI
Pay & Benefit Highlights Compensation
Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
Employee referral bonuses up to $10,000 per hired referral.
Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
Health
100% company-paid medical premiums for employees and eligible dependents.
Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.
Income Protection
100% company-paid premiums for short-term disability.
100% company-paid premiums for long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid premiums for life insurance up to $200,000.
Retirement
401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
401(k) pre-tax and Roth options.
Leave
Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.
Work-Life Balance
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
