Lead DevOps Engineer

We are looking for a DevOps Engineer to support our R&D and engineering teams in building, maintaining, and improving the infrastructure that powers our development and release processes.
In this role, you will help design and operate systems for building, testing, and deploying software across both cloud platforms and on-premise environments. You will work on optimizing CI/CD pipelines, maintaining reliable and secure infrastructure, and ensuring that containerized applications run efficiently and scale when needed.
You will collaborate closely with software engineers and IT specialists to automate operational processes, manage system services, and deliver stable, production-ready environments across Google Cloud, internal servers, and embedded devices.
Requirements
Strong hands-on experience with Docker and Docker Compose in both local development setups and cloud environments
Experience designing and maintaining GitLab CI/CD pipelines, including reusable job templates and efficient YAML configurations
Proficiency in Bash, Python, and Terraform for scripting, infrastructure provisioning, metrics collection, and workflow automation
Solid background working with cloud platforms. Experience with Google Cloud Platform (such as Cloud Run, Compute Engine, Artifact Registry, and Cloud Storage) is highly valued, though similar experience with AWS or Azure is also acceptable
Knowledge of infrastructure security practices including SSL/TLS certificate automation, secrets management, and securing containerized or cloud-based workloads
Responsibilities
Design, maintain, and optimize CI/CD pipelines for automated build, testing, and deployment processes
Build and manage containerized environments using Docker and related tools
Support infrastructure across cloud and on-premise environments
Automate operational processes and infrastructure provisioning
Maintain secure and reliable environments for development and production
Collaborate with engineering teams to improve development workflows and system reliability
Support systems running on Google Cloud, internal servers, and embedded devices
Contribute to building AI-ready infrastructure, including environments where new projects can be quickly deployed on VMs and existing projects can be operated by automated agents (e.g., LLM-based workflows)
Nice to have
Experience with Kubernetes and Helm
Familiarity with monitoring and observability tools such as Grafana and Prometheus
Understanding of DNS configuration, reverse proxies (e.g., Traefik), system services management, and certificate lifecycle management
What we offer
Direct cooperation with the already successful, long-term, and growing project.
Flexible work arrangements.
Collaborative and supportive team culture.
Truly competitive salary.
Help and support from our caring HR team.