Why This Role Stands Out
This hybrid GitLab Engineer role offers a fantastic opportunity to shape cutting-edge DevOps practices and leverage AI for enhanced software delivery, making it ideal for a mid-senior engineer passionate about automation and cloud integration. You'll gain invaluable experience with GitLab Duo and a variety of cloud platforms, contributing to a reputation for innovation and efficiency.
Quick Overview
Job Description
Job 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 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.
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