Engineering Manager, Data Foundations

Навыки

• API (интеграции)
• ClickHouse
• Коммуникация
• DevSecOps
• Распределённые системы
• GraphQL
• gRPC

О компании и продукте

• As Engineering Manager at GitLab, you’ll manage and grow a high-performing engineering team within the Data Foundations group, working on a core data platform that ingests, processes, persists, and queries data streams generated across GitLab.
• We are looking for a leader who can leverage AI to drive non-linear productivity gains across the platform, accelerating our ability to deliver value to our customers.
• We’re looking for someone with deep distributed systems knowledge. You’ll need to be comfortable going well beyond people management and into the architecture of high-throughput, multi-component data systems: ingestion, buffering, enrichment, replication, storage, querying, backpressure handling, isolation, and production operations across multiple deployment models.
• You’ll partner closely with Product, Design, Infrastructure, Data, and other Engineering teams to evolve a platform that lives inside the product, keeps external services to a minimum, and runs across GitLab.com, Dedicated, Self-Managed, and Cells-based deployments.

Задачи

• Hire, manage, and enable a high-performing Data Insights Platform engineering team, creating an environment where team members can do their best work and deliver strong results
• Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related Platform Insights initiatives such as Siphon , Query API integrations, classic search initiatives, and self-service reporting foundations
• Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness, with clear accountability for roadmap milestones and delivery outcomes
• Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying, and shape architecture choices on sharding, partitioning, component-specific scaling, failure recovery, and tenant isolation across SaaS, Dedicated, self-managed, and Cells deployments, with a strong focus on reliability, throughput, operability, and maintainability
• Help the team design safe and scalable integrations with the GitLab monolith, including gRPC/Protobuf-based query paths and clear ownership boundaries between DIP and product teams building user-facing GraphQL or REST endpoints
• Drive a high bar for security, privacy, and governance in how platform data is handled, including authentication, authorization, encryption, and safe handling of data with different privacy classifications
• Improve operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments, with a focus on improving availability, throughput, latency, and time to recovery
• Collaborate asynchronously across teams and functions to help GitLab land customer-facing reporting capabilities on top of a strong, scalable data foundation
• Lead the design and evolution of the platform with a focus on modular architecture, ensuring systems are extensible and ready for AI-driven integrations

Требования

• Experience managing platform, infrastructure, or data systems teams at scale, with a track record of building high-performing, values-aligned teams
• Deep distributed systems expertise, including strong judgment on service boundaries, asynchronous pipelines, backpressure, fault tolerance, horizontal scalability, and operating multi-component systems in production
• Strong technical background in backend and platform engineering, with the ability to guide architecture for high-throughput event pipelines and data systems
• Experience with technologies and patterns relevant to this space, such as change data capture, event streaming or messaging systems, OLAP data stores, query-serving layers, and service-to-service APIs
• Ability to hire, develop, and coach team members while still contributing technical guidance on complex architecture and delivery tradeoffs
• Strong cross-functional collaboration skills, especially when ownership is split between platform teams and feature teams consuming common infrastructure or APIs
• Experience building or operating systems across multiple deployment models, with sound judgment about the tradeoffs between GitLab.com, Dedicated, self-managed, and cell-based environments
• Strong written communication skills and the ability to work effectively in an all-remote, asynchronous environment
• Familiarity with search, indexing, and query-serving systems is a strong plus
• A deep passion for reliability, customer outcomes, and engineering and operational excellence, with a proven track record of instilling these values in high-performing teams

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