About the role
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview of this role
We are looking for a Senior Release Engineer to help design, standardize, and operate reliable enterprise application delivery across the Enterprise Technology & AI team. This role will establish scalable CI/CD practices for business-critical platforms such as Salesforce, Zuora and other Business Systems while enabling engineering teams to ship changes safely, quickly, and with clear operational controls.
The ideal candidate combines strong release engineering and automation skills with practical experience supporting enterprise SaaS applications. You will build and maintain GitLab CI/CD or comparable CI/CD pipelines, develop reusable scripts and deployment tooling, improve release governance, and partner with application, security, compliance, and business teams across the release lifecycle. Daily use of approved AI-assisted engineering tools, including Claude, Duo Agent Platform or comparable enterprise-approved tools, is a mandatory expectation for DevOps, troubleshooting, documentation, testing, and automation activities.
What you'll do
Design, build, and maintain GitLab CI/CD or comparable CI/CD pipelines for enterprise applications, including validation, testing, packaging, deployment, promotion, rollback, and post-release verification.
Develop reusable automation using scripting languages such as Python to reduce manual release activities and improve repeatability.
Use approved AI-assisted engineering tools such as Claude or similar tools every day to accelerate pipeline development, scripting, test creation, troubleshooting, documentation, release analysis, and operational automation.
Define and implement CI/CD patterns for platforms such as Salesforce, Zuora, and other Business Systems.
Establish environment and promotion strategies across development, test, staging, and production, including configuration management and deployment sequencing.
Implement quality gates, automated checks, approvals, audit trails, and policy controls appropriate for enterprise application releases.
Partner with application owners and development teams to define branching, versioning, release cadence, and rollback standards.
Improve release observability through deployment dashboards, pipeline metrics, change records, notifications, and operational reporting.
Investigate failed deployments and release issues, lead root-cause analysis, and implement durable corrective actions.
Contribute to release calendars, change planning, blackout-period coordination, and risk-based release decision-making.
Build documentation, runbooks, reusable templates, and enablement materials so teams can adopt consistent delivery practices.
Coach engineers and application teams on GitLab CI/CD or comparable CI/CD tools, release automation, trunk/branching strategies, testing, and operational readiness.
Collaborate with security, compliance, architecture, and enterprise application stakeholders to meet control requirements without creating unnecessary delivery friction.
What you'll bring
Bachelor’s degree in Computer Science,Information Systems, or equivalent practical experience.
7+ years of experience in release engineering, DevOps or a related discipline.
Experience in Release & deployments for enterprise SaaS applications such as Salesforce, Zuora or Business Systems.
Strong hands-on experience designing and operating GitLab CI/CD or comparable CI/CD pipelines in production environments.
Proficiency in at least one scripting language, such as Python, with the ability to write maintainable automation and integrations.
Mandatory hands-on experience using AI-assisted development and automation tools such as Claude or comparable enterprise-approved tools as part of day-to-day DevOps and release engineering work.
Experience with source control, branching and merging strategies, artifact management, automated testing, deployment orchestration, and rollback practices.
Working knowledge of REST APIs, webhooks, JSON, authentication patterns, and integration troubleshooting.
Experience managing releases across multiple environments with strong attention to configuration, dependencies, access controls, and auditability.
Demonstrated ability to troubleshoot pipeline failures, deployment issues, integration defects, and environment inconsistencies.
Strong communication and collaboration skills, with the ability to work effectively across engineering, business, security, compliance, and operations teams.
Enterprise application releases become more predictable, repeatable, and transparent.
Manual deployment effort and avoidable release errors decrease through automation and standardization.
About the team
ETA teams adopt reusable GitLab CI/CD or comparable CI/CD patterns for Salesforce, Zuora, and other enterprise platforms.Release quality improves through automated validation, testing, policy checks, and post-deployment verification. Deployment, change, and compliance evidence is available through reliable pipeline records and operational reporting. Application teams can move faster while maintaining appropriate controls for business-critical systems. AI-assisted DevOps adoption measurably improves engineering throughput, troubleshooting speed, automation coverage, and documentation quality without reducing delivery controls.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
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