Summary
✨ AI‑Generated
An experienced GitLab Engineer is needed to design, implement, and optimize enterprise-scale software delivery platforms across SaaS and self-managed environments. You will build CI/CD pipelines, automate infrastructure with IaC, integrate multiple cloud providers, manage Kubernetes-based runners, and implement comprehensive application and container security. AI-enabled delivery practices will also be used to improve engineering productivity.
Highlights
Design and optimize enterprise GitLab platforms, automate cloud infrastructure and delivery pipelines, apply modern security practices, and use AI to improve developer productivity and operational efficiency.
Description
We are seeking a highly skilled GitLab Engineer with strong expertise in Duo , DevOps, CI/CD automation, Infrastructure as Code, and AI-powered software delivery practices.
The ideal candidate will be responsible for designing, implementing, and optimizing GitLab platforms, enabling secure and scalable software delivery pipelines, and leveraging AI-driven capabilities to improve developer productivity, automation, and operational efficiency.
Key Responsibilities
Design, implement, and maintain enterprise-scale GitLab platforms (SaaS and Self-Managed).Build and optimize CI/CD pipelines for application deployment across cloud and hybrid environments.Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform.Integrate GitLab with cloud platforms including AWS, Azure, and Google Cloud.Implement GitLab security features including SAST, DAST, Dependency Scanning, Secret Detection, and Container Security.Configure and manage GitLab Runners, Kubernetes integrations, and containerized deployment pipelines.Leverage GitLab Duo and AI-assisted development capabilities to enhance code quality, pipeline efficiency, and developer productivity.Collaborate with development, platform engineering, and security teams to establish DevSecOps best practices.Monitor CI/CD performance, troubleshoot issues, and optimize deployment workflows.Develop automation scripts and reusable templates to standardize software delivery processes.Implement governance, compliance, and security controls across GitLab repositories and pipelines.Support migration initiatives from legacy CI/CD tools (Jenkins, Bamboo, Azure DevOps, Bitbucket Pipelines) to GitLab.Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.5+ years of DevOps or Platform Engineering experience.3+ years of hands-on experience administering and optimizing GitLab environments.Strong experience with GitLab CI/CD pipeline development and management.Expertise in Git, branching strategies, repository management, and code review processes.Strong experience with Linux administration and shell scripting.Experience with Docker and Kubernetes.Hands-on experience with Infrastructure as Code using Terraform.Knowledge of cloud platforms such as AWS, Azure, or GCP.Strong understanding of DevSecOps principles and CI/CD security practices.AI-Specific Requirements
Experience with GitLab Duo, AI-assisted coding tools, or AI-powered DevOps platforms.Knowledge of Generative AI, LLMs, prompt engineering, and AI-assisted software development workflows.Experience integrating AI tools into CI/CD pipelines for code review, testing, security scanning, and deployment optimization.Understanding of AI governance, responsible AI practices, and secure AI implementation.Exposure to MLOps concepts and AI model deployment pipelines is preferred.Preferred Skills
GitLab Certified Associate or GitLab Certified Professional.
