Parkar
Kubernetes Engineer
ParkarSingapore1 day ago
Full-timeEngineering, Information Technology
About Parkar

At Parkar, we are redefining cloud transformation with the power of Microsoft Azure and AWS platforms. Our commitment to aligning with industry-leading cloud technologies enables us to deliver tailored, best-in-class solutions that drive tangible results for our clients.

With over a decade of experience and more than 100 enterprise engagements across diverse industries, we specialize in empowering businesses to innovate and scale. From AIOps to Generative AI and advanced Machine Learning, our expertise spans the technologies that shape tomorrow’s enterprises.

As a Microsoft Gold Partner, we boast over 125 Azure certifications and a track record of 400+ successful projects powered by our team of 200+ skilled engineers. Whether it’s data analytics, DevOps automation, or application development, Parkar is dedicated to achieving each client’s unique transformation goals with agility, precision, and a relentless pursuit of excellence.

Vector is our flagship platform, built on the latest in IT and AI technology to empower organizations to work smarter and stay ahead in a fast-changing digital world. It streamlines digital operations with intelligent automation and seamless cloud integration. With features like real-time monitoring, early problem detection, and scalable flexibility, Vector helps reduce costs, boost reliability, and drive continuous innovation.

For more info., Visit our website: https://parkar.in

Role Summary

We are looking for an experienced Kubernetes DevOps Engineer to join our team. You will be responsible for deploying and managing containerized applications, automating infrastructure, and ensuring the reliability and scalability of our systems. Your expertise in Kubernetes, Docker, and cloud platforms will be pivotal in driving our technology initiatives forward.

Responsibilities

  • Set up, configure, and maintain Kubernetes clusters in production environments.
  • Create and manage continuous integration and deployment pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
  • Work with development teams to containerize applications using Docker and ensure smooth deployment.
  • Implement Infrastructure as Code (IaC): Utilize tools like Terraform or Ansible to automate infrastructure provisioning and management.
  • Implement monitoring solutions to ensure system health, performance, and security.
  • Work closely with developers, QA, and operations teams to streamline processes and improve productivity.
  • Implement best practices for security in containerized environments and ensure compliance with industry standards.

Requirements

  • Bachelor’s Degree in Computer Science/Engineering/Information Technology or a related field.
  • 4-6 years of Experience in DevOps or cloud engineering roles.
  • Hands-on experience with deploying and managing Kubernetes cluster
  • Deep understanding of Kubernetes architecture and components.
  • Strong understanding of containerization and image management.
  • Experience in setting up and managing CI/CD pipelines.
  • Familiarity with AWS, Azure, or Google Cloud services.
  • Infrastructure as Code: Experience with Terraform, Ansible, or similar tools.
  • Scripting Skills: Proficiency in scripting languages like Bash or Python.

Education

  • Bachelor’s degree in Business, Information Technology, Engineering, or a related field

Technical / Professional Skills

  • Kubernetes: Deployment, scaling, and management of containerized applications.
  • Docker: Container creation, orchestration, and optimization.
  • CI/CD Tools: Jenkins, GitLab CI/CD, CircleCI, or similar.
  • Cloud Platforms: AWS (EKS), Azure (AKS), or Google Cloud (GKE) Kubernetes services.
  • Infrastructure as Code: Terraform, Ansible, or equivalent tools.

Non-technical / Soft Skills

  • Problem-Solving: Ability to troubleshoot complex issues and implement effective solutions.
  • Communication Skills: Clear and concise communication with technical and non-technical team members.
  • Strong analytical skills to assess system performance and optimize accordingly.

Key Skills

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