JPS Tech Solutions
Kubernetes Operations Lead Specialist Engineer
JPS Tech Solutions, Chicago, Illinois, United States, 60290
Kubernetes Operations Lead Specialist Engineer
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Job Title:
Kubernetes Operations Lead Specialist Engineer
Location:
Chicago, Illinois
Experience:
12+ Years
Employment Type:
Contract
Interview Type:
In-Person or Webcam
The Kubernetes Operations Lead Specialist Engineer will oversee and manage enterprise‑level Kubernetes clusters, ensuring optimal performance, scalability, security, and reliability of containerized platforms. This role involves leading a team responsible for day‑to‑day Kubernetes operations, automation, infrastructure improvements, and production support across hybrid and multi‑cloud environments. The candidate should have senior‑level hands‑on expertise in Kubernetes, DevOps tooling, CI/CD pipelines, cloud services, and container management.
Key Responsibilities
Lead Kubernetes operations, including cluster deployment, configuration, upgrades, scaling, monitoring, and performance tuning.
Manage and maintain Kubernetes clusters across cloud and on‑prem environments such as AWS, Azure, or GCP.
Define and enforce best practices around container orchestration, security, network policies, resource optimization, and workload management.
Implement observability solutions leveraging logging, monitoring, and tracing tools such as Prometheus, Grafana, ELK, and others.
Oversee incident response, root cause analysis, and post‑incident reviews to ensure platform reliability.
Design and automate infrastructure operations using Infrastructure‑as‑Code tools like Terraform, Helm, and Ansible.
Collaborate with development, security, and operations teams to support DevOps workflows and CI/CD pipeline integration.
Lead capacity planning, resource forecasting, performance assessments, and upgrade planning.
Document standards, deployment procedures, runbooks, and operational best practices.
Mentor junior engineers and function as a technical escalation point.
Required Qualifications
12+ years of overall IT experience with at least 6+ years in Kubernetes and container orchestration.
Hands‑on experience administering and operating large‑scale Kubernetes clusters.
Strong background in cloud platforms such as AWS, Azure, or Google Cloud.
Expertise in Docker, Helm charts, Terraform, YAML configurations, and service mesh technologies (e.g., Istio, Linkerd).
Proficiency with CI/CD tools such as Jenkins, GitLab CI, Argo CD, or Tekton.
Strong knowledge of Linux systems, networking concepts, load balancers, and DNS.
Experience with observability and monitoring frameworks including Prometheus, Grafana, ELK, OpenTelemetry.
Familiarity with Kubernetes security standards, RBAC, policies, certificate management, and image scanning.
Solid scripting experience with Bash, Python, or Go.
Strong troubleshooting and performance optimization skills.
Preferred Skills
Kubernetes certifications such as CKA, CKAD, or CKS.
Experience with multi‑cluster, hybrid cloud, or on‑prem Kubernetes distributions such as EKS, AKS, GKE, OpenShift, or Rancher.
Knowledge of GitOps methodologies and tools like Argo CD or Flux.
Experience with disaster recovery, backup solutions, and high availability architecture.
Previous team leadership or technical architect experience.
Familiarity with site reliability engineering concepts and automation frameworks.
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Job Title:
Kubernetes Operations Lead Specialist Engineer
Location:
Chicago, Illinois
Experience:
12+ Years
Employment Type:
Contract
Interview Type:
In-Person or Webcam
The Kubernetes Operations Lead Specialist Engineer will oversee and manage enterprise‑level Kubernetes clusters, ensuring optimal performance, scalability, security, and reliability of containerized platforms. This role involves leading a team responsible for day‑to‑day Kubernetes operations, automation, infrastructure improvements, and production support across hybrid and multi‑cloud environments. The candidate should have senior‑level hands‑on expertise in Kubernetes, DevOps tooling, CI/CD pipelines, cloud services, and container management.
Key Responsibilities
Lead Kubernetes operations, including cluster deployment, configuration, upgrades, scaling, monitoring, and performance tuning.
Manage and maintain Kubernetes clusters across cloud and on‑prem environments such as AWS, Azure, or GCP.
Define and enforce best practices around container orchestration, security, network policies, resource optimization, and workload management.
Implement observability solutions leveraging logging, monitoring, and tracing tools such as Prometheus, Grafana, ELK, and others.
Oversee incident response, root cause analysis, and post‑incident reviews to ensure platform reliability.
Design and automate infrastructure operations using Infrastructure‑as‑Code tools like Terraform, Helm, and Ansible.
Collaborate with development, security, and operations teams to support DevOps workflows and CI/CD pipeline integration.
Lead capacity planning, resource forecasting, performance assessments, and upgrade planning.
Document standards, deployment procedures, runbooks, and operational best practices.
Mentor junior engineers and function as a technical escalation point.
Required Qualifications
12+ years of overall IT experience with at least 6+ years in Kubernetes and container orchestration.
Hands‑on experience administering and operating large‑scale Kubernetes clusters.
Strong background in cloud platforms such as AWS, Azure, or Google Cloud.
Expertise in Docker, Helm charts, Terraform, YAML configurations, and service mesh technologies (e.g., Istio, Linkerd).
Proficiency with CI/CD tools such as Jenkins, GitLab CI, Argo CD, or Tekton.
Strong knowledge of Linux systems, networking concepts, load balancers, and DNS.
Experience with observability and monitoring frameworks including Prometheus, Grafana, ELK, OpenTelemetry.
Familiarity with Kubernetes security standards, RBAC, policies, certificate management, and image scanning.
Solid scripting experience with Bash, Python, or Go.
Strong troubleshooting and performance optimization skills.
Preferred Skills
Kubernetes certifications such as CKA, CKAD, or CKS.
Experience with multi‑cluster, hybrid cloud, or on‑prem Kubernetes distributions such as EKS, AKS, GKE, OpenShift, or Rancher.
Knowledge of GitOps methodologies and tools like Argo CD or Flux.
Experience with disaster recovery, backup solutions, and high availability architecture.
Previous team leadership or technical architect experience.
Familiarity with site reliability engineering concepts and automation frameworks.
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