GitLab Engineer

About the Role:

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 Google Cloud Platform.

•          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.