Kubernetes Engineer (W2)

Job Title: Kubernetes Engineer (W2 Only)

Work Location: Dallas, TX / Charlotte, NC

Duration: 6–12 months (based on performance)

Job Description

·        We are seeking a highly skilled Kubernetes Engineer with strong experience in GKE, Terraform, and Cloud‑Native Infrastructure, capable of supporting machine learning and high‑scale enterprise workloads. The ideal candidate will have hands‑on expertise in designing, building, and operating secure, scalable Kubernetes platforms, with exposure to ML model serving and MLOps pipelines.

·        This role requires close collaboration with application, ML, and DevOps teams to ensure reliable containerized deployments, automated infrastructure provisioning, and optimal platform performance.

Key Responsibilities

·        Design, deploy, and manage highly available Kubernetes clusters on GKE

·        Build and maintain Infrastructure as Code using Terraform

·        Support containerized analytics platforms on Kubernetes

·        Implement and manage CI/CD and GitOps pipelines (Jenkins, ArgoCD)

·        Containerize applications and ML workloads using Docker

·        Deploy and manage microservices, APIs, and batch jobs on Kubernetes

·        Implement monitoring, logging, and alerting using Prometheus, Grafana, Dynatrace

·        Manage Kubernetes networking, ingress, secrets, RBAC, autoscaling, and security

·        Optimize cluster performance, cost, and resource utilization

·        Troubleshoot production issues and support enterprise‑grade SLAs

·        Collaborate with developers, data scientists, and platform teams

Required Skills & Qualifications

·        10+ years of overall IT experience with strong focus on DevOps / Cloud / Kubernetes

·        Extensive hands‑on experience with Kubernetes (GKE preferred)

·        Strong experience with Terraform for cloud infrastructure provisioning

·        Hands‑on experience with Docker, container orchestration, and microservices

·        Experience supporting ML workloads or data platforms on Kubernetes

·        Strong Linux administration and troubleshooting skills

·        CI/CD experience using Jenkins, Git, GitOps tools

·        Experience with cloud services on Google Cloud Platform (preferred), AWS, or Azure

·        Scripting experience with Python, Shell

·        Solid understanding of networking, security, and IAM concepts

Certifications (Required / Preferred)

·        Certified Kubernetes Administrator (CKA) – Preferred

·        Terraform Associate – Preferred

·        Cloud Certifications (Google Cloud Platform / AWS / Azure) – Preferred

Must Have Skills

·        Kubernetes (Production‑grade clusters)

·        Google Kubernetes Engine (GKE)

·        Terraform (Infrastructure as Code)

·        Docker & Container Orchestration

·        CI/CD pipelines (Jenkins, GitOps, ArgoCD)

·        Python / Shell scripting

·        Cloud Platforms (Google Cloud Platform, AWS or Azure)

·        Linux Administration

·        Machine Learning platform enablement

·        MLOps / Model deployment pipelines

·        Helm Charts

·        Prometheus, Grafana, Dynatrace

·        ArgoCD, GitHub Actions

·        Kafka, Redis, Stateful workloads on Kubernetes

Top 3 Responsibilities:

·        Build and operate Kubernetes platforms with Terraform‑based IaC

·        Enable and support open shift containers on Kubernetes

·        Ensure platform reliability through automation, monitoring, and DevOps best practices

·        Strong communication skills

·        Strong programming and automation skills