Principal Engineer (Go) - Analytics

An overview of this role

The Principal Engineer, Analytics provides technical leadership for the engineering teams across the Analytics stage, working closely as a key member of the leadership team in collaboration with counterparts across the organization. Some examples of our projects: 

• Siphon

• Data Insights Platform

What you’ll do

• Contribute to the overall direction of the Analytics stage and company-wide reporting and analytics initiatives by collaborating and making proposals across several teams on their engineering work, and helping their team members make informed decisions in alignment with strategic plans

• Teach, mentor, grow, and provide advice to other domain experts and individual contributors across several teams. Advise on resourcing requirements and provide feedback on promotions into technical leadership roles

• Plan improvements and features with a 12-month view and ensure that OKR-level goals are aligned across the stage

• Solve technical problems of the highest scope, complexity, and ambiguity while looking for innovation opportunities between several teams and demonstrating a willingness to experiment and to boldly confront problems of large complexity and scope

• Interface with Engineering Managers and Senior Management, and enable Staff Engineers to engage on stage-level aspects of larger (sub-department wide) initiatives. Provide a point of escalation for sub-department teams facing complex technical challenges

• Propose initial technical implementations which support architectural changes that solve scaling and performance problems

• Interact with customers and other external stakeholders as a consultant and spokesperson for the work of your sub-department

• Identify slow and inefficient code across multiple products

Examples of initiatives you will work on

• Key member of the team providing architectural leadership for initiatives within and outside the Analytics stage including event-driven architecture, data platform development, reporting and analytics, and AI-powered insight development 

• Performance optimization - database decomposition, technical debt initiatives, scaling of features (moving features from the project to group to instance level) to support SaaS and self-managed customers

• Improved instrumentation and metrics to inform feature development and support results for customers

• Cross-stage alignment of technical direction within Analytics and across all the stages in the DevSecOps lifecycle

What you’ll bring 

• Significant professional experience as a Principal Engineer, or relevant hands-on management and leadership experience, across multiple development teams.

• Significant professional experience with Go. Significant experience with Ruby on Rails, Postgres, ClickHouse, NATS/Kafka are also a plus.

• Extensive experience building high-throughput, realtime distributed systems that perform reliably and at scale.

• Expert knowledge and experience in CI/CD using DevSecOps best practices and a strong interest working across analytics and insights development.

• Experience developing solutions that can scale from resource-constrained on-premise applications, to mission-critical SaaS platforms with tens of millions of users

• Demonstrated capacity to clearly and concisely communicate complex problems and solutions.

• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.

• Comfort working in a highly agile, intensely iterative software development process.

• Experience owning a project from concept to production, including proposal, discussion, and execution.

About the team

The Analytics stage engineering teams work to support the Analytics stage direction to continue to extend DevOps across its most painful gap - measuring user value. The Analytics Section closes the DevOps loop. It is not enough to deploy an app and hope for the best. It is critical to understand and explore the data and signals that GitLab provides to make the best, insight-based decisions. We will do this by providing a comprehensive solution to gather and interact with data for both our customers and internal teams.

How GitLab will support you

• Benefits to support your health, finances, and well-being

• All remote, asynchronous work environment

• Flexible Paid Time Off 

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave 

• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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