Engineering Manager, Data Foundations

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

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 Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• 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. • Own delivery for your team, including planning, prioritization, execution, and operational follow-through across architecture work, platform improvements, and production readiness. • Guide the technical design of distributed data-path components, including ingestion, buffering, enrichment, exporting, and querying. • Help the team design safe and scalable integrations with the GitLab monolith. • Drive a high bar for security, privacy, and governance in how platform data is handled. • Improve operational maturity across the platform, including observability, metrics, logging, readiness, capacity planning, performance monitoring, and clear runbooks for managed environments. • Collaborate asynchronously across teams and functions.

🎯 Requirements

• 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.

🏖️ 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