GCP Devops

Allegis Group

Hyderabad, Pune District, Bengaluru

On-site

INR 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

Allegis Group is seeking a Platform Engineer to manage and support Kubernetes platforms, CI/CD pipelines, and cloud infrastructure on GCP. The role emphasizes infrastructure as code, automation using Terraform and Ansible, and secure, scalable operations in a large enterprise context.

You will collaborate with application engineering teams to accelerate modernization, platform migration, and reliability initiatives while maintaining strong incident response and security posture.

Qualifications

  • Experience with managing Kubernetes platforms in enterprise environments.
  • Experience with CI/CD pipelines and automation.
  • Proficiency in Python for automation tasks.

Responsibilities

  • Manage and support Kubernetes platforms and CI/CD pipelines on GCP.
  • Collaborate with application engineering teams on cloud modernization and platform migration.
  • Develop Terraform and Ansible automation; implement Infrastructure as Code.
  • Ensure monitoring, reliability and incident management; security remediation.
  • Vault-based secrets management and Python automation.

Skills

Kubernetes expertise
Python automation
CI/CD pipelines

Tools

Kubernetes
Terraform
Jenkins

Job description

Role & responsibilities

Responsible for managing and supporting Kubernetes platforms, CI/CD pipelines, and cloud infrastructure on GCP. Key duties include Kubernetes cluster administration, Jenkins pipeline development, Terraform and Ansible automation, Infrastructure as Code implementation, monitoring and observability, incident management, security remediation, Vault-based secrets management, and Python automation. The role supports enterprise cloud modernization, platform migration, and operational reliability initiatives while collaborating closely with application engineering teams.

Business Challenge Solves
  • Mitigates risk and workload by supporting critical banking modernization initiatives
  • Addresses urgent need for cloud engineering capability for enterprise Kubernetes adoption and platform migration
  • Enables enterprise-wide modernization and risk platform reliability
Performance Expectations and Measurement
  • Deliver reliable and scalable cloud-native platforms
  • Increase deployment velocity and automation
  • Maintain high operational efficiency and platform reliability
  • Resolve production incidents and perform root cause analysis
  • Implement secure and compliant infrastructure configurations
  • Achieve successful modernization and migration of enterprise platforms
Top 3 Skills
  • Kubernetes expertise is essential for platform engineering and production support
  • Terraform skills are required for infrastructure automation and cloud provisioning
  • Python automation capabilities are critical for developing automation solutions and troubleshooting
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