Senior Backend Engineer

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GitLab

1001 - 5000 employees

Founded 2014

šŸ’¼ Consulting

šŸ“£ Marketing

šŸ¤– Artificial Intelligence

šŸ’° Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrantā„¢ for DevOps Platforms, making it a preferred choice for many enterprises.

šŸ“‹ Description

• Design, implement, and evolve product capabilities while solving high-scope backend problems • Influence the technical and product direction of teams • Improve the quality, reliability, and performance of systems • Work across product, frontend, infrastructure, data, and security boundaries • Design and ship moderate to complex backend features with minimal guidance • Make pragmatic architectural choices between modular-monolith code, shared components, and independently operated services • Define backend standards for style, maintainability, testing, APIs, and operational readiness • Mentor associate and intermediate engineers • Remove technical blockers and improve team delivery practices through code and design reviews • Diagnose and prevent performance and reliability issues at scale • Participate in incident response and act as a technical owner where appropriate • Use AI in production engineering work, evaluate its effectiveness, and coach others on responsible use

šŸŽÆ Requirements

• Strong command of backend architecture, APIs, data systems, and performance tuning in a complex product or service environment • Proficiency in modern backend languages • Deep understanding of systems programming • Experience designing or evolving modular backend boundaries, bounded contexts, and migration-safe architectures • Ability to lead through influence and technical judgment • Clear written communication in an asynchronous environment • Proven experience building or operating agentic systems in production • Experience architecting agentic-system loops, tool use, and error-handling strategies for reliability at scale • Team members are expected to incorporate AI into their daily workflows • Helpful, non-hard-requirement experience with high-throughput distributed systems, concurrency, or profiling • Helpful experience with containerized production operations, such as Kubernetes • Helpful database performance knowledge, such as PostgreSQL, ClickHouse, schema evolution, or partitioning • Helpful background in large-scale modular monoliths or event-driven systems • Helpful public technical communication, open-source maintenance, or developer-focused SaaS experience

šŸ–ļø Benefits

• 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 • Remote-first, asynchronous organization • Opportunity to experiment with and integrate agentic AI into production engineering workflows

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