We are seeking an experienced Kubernetes Lead Engineer to guide and support large-scale container orchestration and cloud-native initiatives. In this role, you will be responsible for architecting, deploying, and optimizing Kubernetes-based solutions that support high-performance, resilient, and scalable applications. You will collaborate with cross-functional engineering teams, provide leadership in Kubernetes best practices, and ensure production stability and security.
This position is ideal for someone with deep hands-on expertise in Kubernetes, strong DevOps experience, and a passion for automation and cloud technologies.
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Lead the design, deployment, and management of Kubernetes clusters across production and non-production environments.
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Develop, implement, and maintain CI/CD pipelines using modern DevOps tools.
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Architect scalable and highly available infrastructure using microservices and containerization best practices.
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Manage Kubernetes networking, storage, monitoring, and security configurations.
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Automate build, deployment, and infrastructure provisioning processes.
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Troubleshoot performance, availability, and reliability issues within Kubernetes and containerized environments.
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Provide guidance and technical leadership to DevOps, Cloud, and Development teams.
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Collaborate with stakeholders to define technical requirements and align infrastructure solutions with business needs.
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Maintain detailed documentation and enforce architectural standards and governance.
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Ensure compliance with security policies and implement Kubernetes security controls and RBAC.
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Monitor and optimize cluster performance using observability tools.
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12+ years of professional IT experience with strong background in DevOps, Cloud, or Systems Engineering.
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Extensive hands-on experience managing Kubernetes in production environments.
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Expertise in container technologies such as Docker, containerd, or CRI-O.
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Strong experience with cloud platforms such as AWS, GCP, or Azure.
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Proficiency with Terraform, Helm, Argo CD, Jenkins, GitLab CI, or equivalent tools.
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Deep understanding of Kubernetes networking, service mesh, ingress controllers, and persistent storage.
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Strong scripting or programming skills in Bash, Python, or Go.
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Experience with monitoring and logging tools such as Prometheus, Grafana, ELK/EFK, or Datadog.
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Knowledge of security best practices including secrets management, image scanning, and policy enforcement.
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Solid understanding of Linux systems administration.
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Excellent problem-solving, communication, and mentoring skills.