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HCLTech

Kubernetes Senior Technical Lead - Azure DevOps

Hyderabad · Staff/Principal

Expect moderate competitionVerified listingPosted 18d ago

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64Skills
97Experience

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Skills required

25 listed
Google Cloud Platform (GCP)Cloud-Native InfrastructureCI/CDAzure DevOpsApplication DeploymentAccess ControlsDisaster RecoveryCloud Storage+17 more
Google Cloud Platform (GCP)Cloud-Native InfrastructureCI/CDAzure DevOpsApplication Deployment

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Job description

Job Summary

Experienced GCP DevOps Engineer with 8+ years of expertise in designing, automating, and managing cloud-native infrastructure and CI/CD pipelines on Google Cloud Platform (GCP). Responsible for implementing scalable, secure, and highly available solutions using Kubernetes, Terraform, Docker, and DevOps best practices to accelerate software delivery and improve operational efficiency.

Key Responsibilities

Design, build, and maintain CI/CD pipelines for automated application deployment.Provision and manage GCP infrastructure using Terraform and Infrastructure as Code (IaC).Deploy and manage containerized applications on Google Kubernetes Engine (GKE).Implement monitoring, logging, and alerting using Cloud Monitoring, Prometheus, and Grafana.Automate infrastructure provisioning, deployments, and scaling processes.Manage IAM, security policies, secrets, and access controls across GCP environments.Troubleshoot production issues and optimize platform performance, availability, and cost.Implement high-availability, disaster recovery, and backup solutions.Support DevSecOps practices and ensure compliance with security standards.Collaborate with development teams to improve application reliability and deployment efficiency.

Skill Requirements

Strong hands-on experience with Google Cloud Platform (GCP) services such as Compute Engine, GKE, Cloud Storage, VPC, IAM, and Cloud Monitoring.Expertise in CI/CD tools including GitHub Actions, Jenkins, GitLab CI/CD, and Google Cloud Build.Experience with Infrastructure as Code (IaC) using Terraform.Strong knowledge of Docker and Kubernetes (GKE).Proficiency in Linux administration and scripting using Shell/Bash or Python.Experience with monitoring and logging tools such as Prometheus, Grafana, Cloud Monitoring, and Cloud Logging.Knowledge of DevSecOps, IAM, secrets management, and cloud security best practices.Experience with Git-based version control and repository management.Understanding of high availability, disaster recovery, and cloud cost optimization.Strong troubleshooting, automation, and problem-solving skills in production environments.

Other Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 8+ years of overall IT experience with strong exposure to DevOps and Cloud technologies.
  • Relevant GCP certifications such as Google Professional Cloud DevOps Engineer or Google Associate Cloud Engineer are preferred.
  • Strong understanding of Agile/Scrum development methodologies.
  • Experience working in production support and enterprise-scale cloud environments.
  • Excellent troubleshooting, analytical, and problem-solving skills.
  • Strong communication and stakeholder management abilities.
  • Ability to work independently and collaboratively in cross-functional teams.
  • Experience in implementing security, compliance, and governance best practices in cloud environments.
  • Willingness to participate in on-call support and critical incident management when required.
 

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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