DevOps/Cloud Engineer - GCP Specialist

Entry Type: 
Start Date:  Dec 2, 2025
Job Location: 

IN

About the Job

As a specialist in electronics and software for the past 20 years, in-tech is a dynamic, fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 8 countries.

in-tech develops innovative engineering solutions for the automotive, rail, aerospace, defence, and industrial sectors.

We are committed to a flexible, modern work culture and work-life balance. Our colour orange stands for liveliness, warmth, and dynamism. We value a strong team spirit, fresh ideas and a positive work culture. We call it the “Orange Spirit”!

Since 2024, in-tech became a subsidiary of Infosys Ltd. This strategic partnership enables us to offer our customers even more comprehensive development and digitalisation services and a greater offshore capability.

We are looking for an experienced DevOps/Cloud Engineer - GCP Specialist to join our customer location at Pune with hybrid work options with strong expertise in Google Cloud Platform (GCP), Kubernetes, CI/CD, and Infrastructure as Code. The ideal candidate will have hands-on experience in designing, deploying, and managing scalable cloud environments, with proficiency in Golang and modern DevOps practices. If you’re passionate about joining a growing and dynamic team with a company with a positive culture and team spirit, we’d love to connect with you!

Responsibilities

  • Design, implement, and maintain cloud infrastructure on GCP using Terraform.
  • Manage, optimize, and troubleshoot Kubernetes clusters for scalable application deployment.
  • Configure and maintain CI/CD pipelines using GitLab.
  • Implement and manage API gateways using Apigee.
  • Develop and maintain IAM policies, security configurations, and compliance controls.
  • Create and maintain Helm charts for application deployments.
  • Develop automation scripts, tools, and utilities using Golang.
  • Collaborate with development teams to streamline deployment processes and improve system reliability.
  • Integrate and utilize AI-powered tools such as GitLab Duo to enhance development and automation workflows.
  • Implement GitOps best practices for deployment and environment management.
  • Work with multi-cloud environments when required.
  • Utilize monitoring and observability tools to ensure infrastructure performance and reliability.
  • Work with service mesh technologies (e.g., Istio, Linkerd) for secure and scalable microservices communication.

Requirements

  • Bachelor’s degree in Computer science, Engineering, or related field, or equivalent practical experience.
  • 3–5+ years of hands-on experience with cloud platforms, preferably GCP.
  • Strong experience with GCP services, Apigee API management, and IAM.
  • Proven experience with Kubernetes for container orchestration.
  • Proficiency in GitLab CI/CD pipelines for continuous integration and deployment.
  • Strong experience with Infrastructure as Code (IaC) using Terraform.
  • Good knowledge of Helm for Kubernetes package management.
  • Programming experience in at least one language, with a strong preference for Golang.
  • Experience with containerization technologies and microservices architecture.
  • Familiarity with AI-powered coding tools, particularly GitLab Duo.
  • Knowledge of cloud security best practices and compliance frameworks.
  • Experience with monitoring, logging, and observability tools in cloud environments.
  • Familiarity with GitOps principles and workflows and experience working in multi-cloud setups.
  • Knowledge of service mesh technologies such as Istio or Linkerd.
  • Relevant certifications (e.g., Google Cloud Professional, CKA) are a strong plus.

Apply with us

If you have experience and team spirit and are looking for a great place to work, then start your job with us.

As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.