
Kubernetes Engineer
16 hours ago
Key Responsibilities :
Lead Automation : Design and implement an automation framework to migrate workloads to Kubernetes platforms such as AWS EKS, Azure AKS, Google GKE, Oracle OKE, and OpenShift.
Develop Cloud-Native Automation Tools : Build automation tools using Go (Golang) for workload discovery, planning, and transformation into Kubernetes artifacts.
Migrate Kubernetes Across Cloud Providers : Plan and execute seamless migrations of Kubernetes workloads from one cloud provider to another (AWS - Azure, GCP - OCI, etc.) with minimal disruption.
Leverage Open-Source Technologies : Utilize Helm, Kustomize, ArgoCD, and other popular open-source frameworks to streamline cloud-native adoption.
CI/CD & DevOps Integration : Architect and implement CI/CD pipelines using Jenkins (including Jenkinsfile generation) and cloud-native tools like AWS CodePipeline, Azure DevOps, and GCP Cloud Build to support diverse Kubernetes deployments.
Security & Compliance : Define and enforce security best practices, implement zero-trust principles, and proactively address vulnerabilities in automation workflows.
Technical Leadership & Mentorship : Lead and mentor a team of developers, fostering expertise in Golang development, Kubernetes, and DevOps best practices.
Stakeholder Collaboration : Work closely with engineering, security, and cloud teams to align modernization and migration efforts with business goals and project timelines.
Performance & Scalability : Ensure high performance, scalability, and security across automation frameworks and multi-cloud Kubernetes deployments.
Continuous Innovation : Stay ahead of industry trends, integrating emerging tools and methodologies to enhance automation and Kubernetes portability.
Qualifications & Experience :
Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Experience : 8+ years in software development, DevOps, or cloud engineering, with 3+ years in a leadership role.
Programming Expertise : Strong proficiency in Go (Golang), Python for building automation frameworks and tools.
Kubernetes & Containers : Deep knowledge of Kubernetes (K8s), OpenShift, Docker, and container orchestration.
Cloud & DevOps : Hands-on experience with AWS, Azure, GCP, OCI, self-managed Kubernetes, OpenShift, and DevOps practices.
CI/CD & Infrastructure-as-Code : Strong background in CI/CD tools (Jenkins, Git, AWS CodePipeline, Azure DevOps, GCP Cloud Build) and Infrastructure-as-Code (IaC) with Terraform, Helm, or similar tools.
Kubernetes Migration Experience : Proven track record in migrating Kubernetes workloads between cloud providers, addressing networking, security, and data consistency challenges.
Security & Observability : Expertise in cloud-native security best practices, vulnerability remediation, and observability solutions.
Leadership & Communication : Proven ability to lead teams, manage projects, and collaborate with stakeholders across multiple domains.
Preferred Skills & Certifications :
Experience in self-managed Kubernetes provisioning (e.g., kubeadm, Kubespray) and OpenShift customization (e.g., Operators).
Industry Certifications - CKA, CKAD, or cloud-specific credentials (e.g., AWS Certified DevOps Engineer).
Exposure to multi-cloud and hybrid cloud migration projects
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