Platform Engineer

Description

This position is for a Platform Engineer supporting the Army Edge Computing Capability (AECC)project that ALTESS is fielding for the US Army. The AECC solution is a containerized, Kubernetes-based, multitenant hosting environment for hosting Army enterprise and tactical applications. AECC is utilizing Kubernetes and potentially Red Hat OpenShift to implement a cloud-native, software-defined infrastructure across multiple global sites. ALTESS provides value-added common and managed services built on top of the Kubernetes foundation, which hosted Army applications will require. ALTESS is a managed service provider (MSP) and hosting services provider for Army applications. ALTESS is a Product Lead office under Capability Program Executive (CPE) Enterprise Software and Services (CPE ES2). Position Duties: • Work with Government engineers to develop and maintain the AECC Kubernetes-based architecture. • Develop, deploy, and maintain Infrastructure as Code (IaC) for the deployment and sustainment of the Kubernetes platform in the AECC. • As applications are hosted on the AECC solution, utilize IaC for the provisioning of customer namespaces and containerized workloads. • Provide daily administration of the Kubernetes platform, including patching and upgrading of all Kubernetes components (e.g., control plane, worker nodes, CNI plugins, CSI drivers, and CRI runtimes). • Configure and manage Container Network Interface (CNI) plugins (e.g., Calico, Cilium, OpenShift SDN) to ensure secure and efficient networking for Kubernetes workloads. • Deploy and manage Container Storage Interface (CSI) drivers to enable dynamic provisioning of persistent storage for containerized workloads (e.g., OpenShift Data Foundation, Ceph). • Monitor utilization of all container orchestration resources and notify the AECC Lead when additional resources will be required. • Harden the Kubernetes platform per cloud-native best practices and the required government cybersecurity controls. • Troubleshoot and perform root cause analysis of any hosting platform issues, including Kubernetes networking, containerized workloads, persistent storage, and runtime issues. • Develop and maintain system, infrastructure, and process documentation (e.g., system diagrams, network topology, Kubernetes configurations, CSI driver configurations, CRI runtime configurations, standard operating procedures). • Provide on-call support for triage and resolution of after-hours production incidents. • Make recommendations for improvements to security, scalability, manageability, and performance across a wide variety of containerized network, storage, and compute services. • Build, configure, and administer Kubernetes clusters. • Implement and manage container registries (e.g., Docker Hub, Harbor, Red Hat Quay) for secure image storage and distribution. • Deploy and manage persistent storage solutions for containerized workloads (e.g., OpenShift Data Foundation, Ceph, NFS).

Skills

Devops, Cloud

Top Skills Details

Devops

Additional Skills & Qualifications

• Strong knowledge of Kubernetes networking concepts, including Container Network Interface (CNI) plugins (e.g., Calico, Cilium, OpenShift SDN), service discovery, ingress controllers, network policies, and DNS management. • Proficiency in building, configuring, and administering Kubernetes clusters in enterprise environments. • Experience with container orchestration tools and technologies (e.g., Docker, Podman, Kubernetes). • Experience with container registries and image management (e.g., Docker Hub, Harbor, Red Hat Quay). • Strong automation and Infrastructure as Code (IaC) skills using tools like Ansible, Terraform, Python, Pulumi. • Working knowledge of DoD Security Technical Implementation Guides (STIG) and the Information Assurance Vulnerability Management (IAVM) process, and/or industry hardening best practices and processes. • Familiarity with DevSecOps practices, including CI/CD pipeline integration for containerized workloads. Required Certifications: • Security+ or equivalent DoD 8570.01-M IA Tech Level II certification. • Must have (or obtain within 6 months of hire) a Computing Environment certification in a related field:  Certified Kubernetes Administrator (CKA).  Red Hat Certified Specialist in OpenShift Administration.  Certified Kubernetes Security Specialist (CKS).  Other equivalent Kubernetes or container-related certifications. Clearance Required: • DoD Secret Position Location: • Radford, VA(Hybrid telework/onsite as needed) Education: • Bachelor's degree or higher in IT related field

Experience Level

Expert Level

This is a Contract position based out of Fairlawn, VA.

The pay range for this position is $60.00 - $86.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully remote position.

This position is anticipated to close on Jun 12, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.