Senior Backend Engineer, Database Excellence (Ruby) at gitlab

Senior Backend Engineer, Database Excellence (Ruby)

gitlab · RemoteRemotosenior

En corto

▸Ingeniero backend senior especializado en bases de datos (Ruby) para mantener escalabilidad y salud de datos en GitLab.
▸Diseña herramientas de control de crecimiento de datos, políticas de retención y enfoques preventivos en cambios de esquema.
▸Destacado: Trabajas con AI como multiplicador de productividad y en entorno 100% remoto, colaborativo.

Proficiency in English is required for collaboration across global teams.

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¿Qué piden?

✓Experiencia sólida con Ruby y Ruby on Rails
✓Profundidad en PostgreSQL (consultas, rendimiento, administración)
✓Habilidades avanzadas en diseño de arquitectura de datos y gestión de ciclo de vida
✓Experiencia en sistemas de alta escala con crecimiento de datos acelerado
✓Capacidad para construir herramientas de autocontrol (shift-left) en ciclos de desarrollo
✓Comunicación clara y colaboración efectiva con equipos multidisciplinarios

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

RubyRuby on RailsPostgreSQLSQLGitLab CI/CDDockerKubernetesPrometheusGrafanaRedis

¿A quién escribirle en gitlab?

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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 As a Senior Backend Engineer with the Database Excellence group , you'll build and evolve the data frameworks and tooling that keep GitLab's application datastores scalable, healthy, and safe across both GitLab.com and thousands of self-managed instances. A primary focus for this role is building proactive data growth controls for GitLab.com, including retention and lifecycle management frameworks, enforcement of retention policies at schema-change time, and tooling that keeps database growth sustainable as AI-driven development accelerates how quickly data accumulates. You'll help teams across GitLab reason confidently about data architecture, placement, and lifecycle management, while proactively identifying saturation points in our GitLab.com infrastructure and driving corrective actions with partner teams. With the team's recent move into the Data Engineering organization, you'll also shape new scalability and data health features for self-managed customers, working hands-on with PostgreSQL and Ruby on Rails in a fully remote, highly collaborative environment. Some examples of our projects: • Data Growth Controls (retention enforcement and data lifecycle management) • SQL Traffic Replay Tooling • Background Operations Framework What you'll do • Develop and iterate backend features and data frameworks that make it safe and efficient for GitLab teams to work with data at scale across SaaS and self-managed deployments. • Design and build data retention and lifecycle management frameworks, including retention policy enforcement, bulk data removal tooling, and automated identification of tables that need retention policies. • Build shift-left guardrails, such as static analysis checks and schema-change-time enforcement, that catch unsustainable data growth patterns before they reach production. • Collaborate closely with product management, UX, fro

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