Climate & Environment Full-time

DevOps Engineer_GCP

Landis+Gyr

Location

Remote (Europe)

Type

Full-time

Posted

Jan 05, 2026

Mission

What you will drive

Core responsibilities:

  • Design, implement, and manage Infrastructure as Code (IaC) and Networking as Code (NaC) solutions across GCP and hybrid cloud environments
  • Develop, maintain, and optimize Terraform modules for provisioning and managing cloud resources (Compute, Storage, Networking, IAM)
  • Configure and manage GitLab Runners to support build and deployment pipelines across on-premises and cloud
  • Apply GitOps principles to enable reliable and automated deployments in GCP and Kubernetes-based environments

Impact

The difference you'll make

This role contributes to developing innovative technologies that drive decarbonization and grid modernization, helping shape a smarter and more sustainable energy future by optimizing energy usage through advanced metering and data analytics.

Profile

What makes you a great fit

Required qualifications:

  • Bachelor's or Master's degree in Computer Science, IT, ECE, or related fields (B.E., B.Tech, M.Tech, MCA)
  • 4+ years of experience in DevOps, Cloud Infrastructure Engineering, or related roles
  • Hands-on experience with Google Cloud Platform (GCP) services including Compute Engine, GKE, Cloud Storage, VPC, IAM
  • Experience with GitLab, Terraform, Docker, Kubernetes, and automation scripting using Bash, PowerShell, and Python

Benefits

What's in it for you

What we offer:

  • Competitive salary and region-specific benefits
  • Comprehensive development programs including mentorship and training
  • A global culture that values collaboration, innovation, and continuous learning
  • Part of a mission-driven company shaping a more sustainable energy future

About

Inside Landis+Gyr

Landis+Gyr leads the transformation toward a smarter and more sustainable energy future by empowering utilities and consumers to optimize energy usage through advanced metering, grid-edge intelligence, and powerful data analytics.