Senior Backend Engineer, Platform Enablement

Gitlab·Remote, United StatesRemotosenior

En corto

→Ingeniero backend senior que construye herramientas de pruebas de rendimiento autónomas para equipos de desarrollo.
→Día a día: desarrollas plataformas backend, automatizaciones con IA y documentación para que equipos prueben rendimiento por su cuenta.
→Lo más destacado: usas IA para acelerar diseño, pruebas y documentación, con influencia en la transformación del modelo de soporte.

Proficiency in English required for collaboration with global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Experiencia comprobada en ingeniería backend con Python, Go o Ruby.
✓Conocimiento sólido en pruebas de rendimiento, carga y análisis de métricas.
✓Habilidades en diseño de plataformas escalables y componentes reutilizables.
✓Experiencia con infraestructura en la nube (AWS, GCP o Azure).
✓Capacidad para documentar y guiar equipos en el uso de herramientas.
✓Exposición práctica al uso de inteligencia artificial en el desarrollo de software.

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

PythonGoRubyAWSGCPAzureKubernetesPrometheusGrafanaGitLab CI/CD

¿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, Performance Enablement, you'll make performance testing and analysis easier for engineering teams to adopt and own. You'll build platforms, tooling, guidance, and artificial intelligence-assisted workflows that help teams identify performance risks during development and before they roll changes out to production. We're moving from a hands-on consulting model to a self-service model. Service teams own their performance tests, analysis, thresholds, and evidence. We provide the paved road, documentation, skills, and expert support for challenging problems and new capabilities. This is a backend and platform engineering role with room to grow in scope and influence. You'll help shape how Performance Enablement supports engineering teams, using artificial intelligence thoughtfully to accelerate design, implementation, testing, debugging, documentation, and automation. You'll support work such as: • Enabling modular feature teams, including Orbit and Artifact Registry, to run performance testing through their own development and continuous integration workflows • Building reusable performance tooling, including component-level testing, load testing, performance analysis, and artificial intelligence-assisted engineering skills • Improving performance results, reporting, and trend visibility so teams can make informed decisions from their own evidence • Establishing the documentation, templates, and guidance needed to expand self-service adoption across research and development What you’ll do • Build and evolve reusable backend platforms and tooling for performance testing and analysis. • Create self-service workflows, documentation, templates, diagnostics, and artificial intelligence skills that reduce the need for bespoke support. • Use development practices that apply artificial intelligence to accelerate implementation, testing, debugging, and technical documentation. • Influence engineering teams to make performance testing part of normal development and release preparation. • Turn early hands-on engagements into generalized capabilities that many teams can adopt independently. • Provide technical expertise for difficult performance questions, tooling enhancements, and new platform capabilities. What you’ll bring • Exper

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