Kubernetes Engineer

Machine Learning Technologies, LLC; North Charleston (SC); On-site; USD 140,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a high-level Kubernetes SME with deep hands-on expertise in orchestration, cloud-native infrastructure, cluster operations, and automation. The role focuses on designing, implementing, and optimizing enterprise-grade Kubernetes environments across multi-cloud settings.

You will lead technical initiatives, provide mentorship, and collaborate with application teams to onboard workloads, establish deployment patterns, and improve resource utilization.

Qualifications

• 5+ years of hands-on Kubernetes experience.
• Experience with multi-cloud deployments.
• DoD security clearance eligibility.
• Strong documentation and leadership skills.

Responsibilities

• Design, implement, manage, and optimize enterprise-grade Kubernetes environments.
• Architect, deploy, and optimize clusters across bare-metal, virtualized, and multi-cloud environments.
• Develop automation templates and reusable patterns for consistency and repeatability.

Skills

Kubernetes architecture

Multi-cloud

GitOps

Networking

Observability

DoD clearance eligibility

Infrastructure as Code

CI/CD

Kubernetes security

Helm

Education

BS Degree in a relevant field

Tools

AKS

EKS

GKE

Docker

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking a high-level Kubernetes Subject Matter Expert (SME) with deep hands‑on experience in Kubernetes orchestration, cloud‑native infrastructure, cluster operations, and automation. This individual will serve as a senior technical resource responsible for designing, implementing, managing, and optimizing enterprise‑grade Kubernetes environments.

Required Skills:

• Serve as a senior technical authority and SME for Kubernetes architecture, orchestration, operations, and best practices.
• Architect, deploy, manage, and optimize Kubernetes clusters across bare‑metal, virtualized, and multi‑cloud environments.
• Leverage GitOps delivery pipelines using Argo CD or Flux to automate infrastructure state, cluster add‑ons, and workload deployments across multi‑cluster environments.
• Configure, tune, and troubleshoot cluster networking, including Container Network Interfaces (CNIs), ingress controllers, and service mesh architectures.
• Build and optimize monitoring, logging, and tracing frameworks to support cluster reliability and workload visibility.
• Troubleshoot complex Kubernetes issues involving networking, scheduling, storage, performance, control plane components, and node health.
• Collaborate with application teams to onboard workloads, establish deployment patterns, and optimize resource utilization.
• Develop documentation, standards, and reusable automation templates to create consistency and repeatability across environments.
• Provide technical leadership, knowledge transfer, training, and mentorship to junior engineers and cross‑functional teams.

Skills:

• Must be eligible to obtain and/or maintain a Department of Defense (DoD) Secret security clearance.
• Deep, hands‑on Kubernetes experience with a strong emphasis on container orchestration, including cluster architecture/operations, workload deployment, and infrastructure components.
• Experience designing, provisioning, administering, and troubleshooting production Kubernetes environments.
• Familiarity with managed Kubernetes platforms such as AKS, EKS, or GKE.
• Solid understanding of containers and container build processes using technologies such as Docker, Podman, or Buildah.
• Strong troubleshooting skills involving Kubernetes networking, storage, scheduling, node health, and control plane issues.
• Experience with service mesh technologies such as Istio or Linkerd and/or ingress controllers such as NGINX, HAProxy, or Traefik.
• Experience with Helm charts, Kustomize, and Kubernetes Operators.
• Knowledge of Kubernetes security tooling such as OPA/Gatekeeper, Kyverno, or Falco.
• Strong experience with automation and Infrastructure as Code tooling such as Ansible or Terraform.
• Proficiency with Git, Jenkins, YAML, CI/CD pipelines, GitOps, and modern DevOps workflows.
• Familiarity with DoD compliance and security frameworks, including DISA STIGs, SCAP, and RMF.
• Strong communication and documentation skills, with the ability to explain complex Kubernetes concepts to both technical and cross‑functional teams.

We'd Be Impressed if You Had:

• Certified Kubernetes Security Specialist (CKS)

Education:

• BS Degree in a relevant technical field or equivalent combination of education and experience.
• Ability to obtain the following certifications within 3 months of start date:
• CompTIA Security+ CE
• Professional Scrum Developer or Certified Scrum Developer
• 5+ years of hands‑on experience working with Kubernetes, containerized environments, DevOps, cloud infrastructure, or related technologies, including significant experience designing, provisioning, and administering production Kubernetes environments.
• Demonstrated experience independently troubleshooting and supporting enterprise Kubernetes environments.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.