Kubernetes Engineer Geetha Technology Solutions

1.0 - 4.0 years

1 - 4 Lacs

Pune, Maharashtra, India

On-site

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Key Responsibilities: Develop, deploy, and maintain core components of our Kubernetes-based platform using Golang. Design and implement scalable and high-performance solutions for ingesting and processing large volumes of data. Utilize Kubernetes and Helm extensively for orchestration, deployment, and management of applications and platform services. Work with and contribute to the Kubernetes ecosystem operators to enhance platform functionality and automation. Collaborate with application development teams to ensure seamless integration and optimal performance of security analytics applications on the platform. Troubleshoot and resolve complex issues related to Kubernetes clusters, applications, and underlying infrastructure. Continuously optimize platform performance, scalability, and resource utilization. Stay up-to-date with the latest advancements in Kubernetes, cloud technologies, and big data platforms. Required Qualifications: Proficiency in Golang: Strong programming skills in Golang are essential for developing platform components. Deep Expertise in Kubernetes: Extensive experience with Kubernetes for container orchestration, deployment, and management. Hands-on with Helm: Proven experience in using and developing Helm charts for application packaging and deployment. Big Data Platform Experience: Familiarity with concepts and technologies related to big data platforms, understanding the challenges of data ingestion and processing at scale. Kubernetes Ecosystem Operators: Expertise in working with and potentially developing Kubernetes operators. Preferred Qualifications: GCP Knowledge: Experience with Google Cloud Platform (GCP) services and infrastructure.

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Senior DevOps Engineer Cisco

8.0 - 13.0 years

10 - 15 Lacs

Bengaluru

Work from Office

We are seeking a Senior DevOps Engineer to build pipeline automation, integrating DevSecOps principles and operations of product build and releases. Mentor and guide DevOps teams, fostering a culture of technical excellence and continuous learning. What You'll Do Design & Architecture: Architect and implement scalable, resilient, and secure Kubernetes-based solutions on Amazon EKS. Deployment & Management: Deploy and manage containerized applications, ensuring high availability, performance, and security. Infrastructure as Code (IaC): Develop and maintain Terraform scripts for provisioning cloud infrastructure and Kubernetes resources. CI/CD Pipelines: Design and optimize CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD along with automated builds, tests (unit, regression), and deployments. Monitoring & Logging: Implement monitoring, logging, and alerting solutions using Prometheus, Grafana, ELK stack, or CloudWatch. Security & Compliance: Ensure security best practices in Kubernetes, including RBAC, IAM policies, network policies, and vulnerability scanning. Automation & Scripting: Automate operational tasks using Bash, Python, or Go for improved efficiency. Performance Optimization: Tune Kubernetes workloads and optimize cost/performance of Amazon EKS clusters. Test Automation & Regression Pipelines - Integrate automated regression testing and build sanity checks into pipelines to ensure high-quality releases. Security & Resource Optimization - Manage Kubernetes security (RBAC, network policies) and optimize resource usage with Horizontal Pod Autoscalers (HPA) and Vertical Pod Autoscalers (VPA) . Collaboration: Work closely with development, security, and infrastructure teams to enhance DevOps processes. Minimum Qualifications Bachelor's degree (or above) in Engineering/Computer Science. 8+ years of experience in DevOps, Cloud, and Infrastructure Automation in a DevOps engineer role. Expertise with Helm charts, Kubernetes Operators, and Service Mesh (Istio, Linkerd, etc.) Strong expertise in Amazon EKS and Kubernetes (design, deployment, and management) Expertise in Terraform, Jenkins and Ansible Expertise with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, etc.) Strong experience with monitoring and logging tools (Prometheus, Grafana, ELK, CloudWatch) Proficiency in Bash, Python, for automation and scripting

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