• Lead the design and development of some of the most critical and technically complex services in our ecosystem, focusing on long-term, scalable, and sustainable solutions. • Define and evolve the technical vision for multiple teams, ensuring architectural consistency, system resilience, and alignment with product strategy. • Partner with cross-functional leaders (Product, Design, Data, etc.) to prioritize and deliver initiatives that drive business growth and improve user experience. • Mentor and empower engineering managers and tech leads, fostering a high-performing culture focused on continuous improvement and technical excellence. • Oversee integration efforts with third-party APIs and tools, ensuring seamless and secure connectivity across systems. • Guide modernization of legacy systems to enhance scalability, performance, and developer experience. • Champion operational excellence through best practices in monitoring, incident management, and system reliability. • Create and support a collaborative, agile environment where engineers are engaged, productive, and have clear paths for growth. • Stay close to cutting-edge technologies and global-scale challenges, driving innovation across the engineering organization. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Deliver GitLab Professional Services engagements, including installation, migration, training, and advisory services across GitLab capabilities. • Plan and execute deployments ranging from single-node Omnibus installations to large reference architectures using Infrastructure as Code and Configuration as Code practices. • Lead migrations from multiple source systems to GitLab SaaS or self-managed GitLab, helping customers adopt secure, reliable workflows. • Partner with Engagement Managers and Project Managers to improve delivery consistency, remove friction, and continuously refine delivery processes. • Serve as a trusted technical advisor for customers, translating goals and constraints into practical implementation plans and clear next steps. • Interface with GitLab's product and engineering teams to unblock customer outcomes and share feedback that helps improve GitLab features and services. • Mentor Associate and Intermediate Professional Services Engineers, providing technical guidance, helping remove blockers, and supporting increased autonomy. • Manage and deliver multiple customer engagements at once, either as the primary engineer or as a lead providing oversight and direction to other engineers.

• Lead the design and development of some of the most critical and technically complex services in our ecosystem, focusing on long-term, scalable, and sustainable solutions. • Define and evolve the technical vision for multiple teams, ensuring architectural consistency, system resilience, and alignment with product strategy. • Partner with cross-functional leaders (Product, Design, Data, etc.) to prioritize and deliver initiatives that drive business growth and improve user experience. • Mentor and empower engineering managers and tech leads, fostering a high-performing culture focused on continuous improvement and technical excellence. • Oversee integration efforts with third-party APIs and tools, ensuring seamless and secure connectivity across systems. • Guide modernization of legacy systems to enhance scalability, performance, and developer experience. • Champion operational excellence through best practices in monitoring, incident management, and system reliability. • Create and support a collaborative, agile environment where engineers are engaged, productive, and have clear paths for growth. • Stay close to cutting-edge technologies and global-scale challenges, driving innovation across the engineering organization. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

Role Description Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based. What this opportunity involves: - Building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. - Creating challenging tasks and evaluation criteria within realistic simulated environments: - Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history. - Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent. - Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient. - Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust. What this is NOT: - Not data labeling. - Not prompt engineering. - Not writing code from scratch - the agent writes most of the code; you guide and evaluate. Qualifications - 5+ years in software development. - Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis. - Experience writing tests (functional, integration). - English proficiency - B2+. Requirements - Deep understanding of where models fail and what scenarios reveal the difference between a good and a bad solution. - Ability to create tasks that genuinely challenge the best models. - Writing tests that accept all correct solutions and reject incorrect ones. Benefits - Up to $40/hr equivalent, depending on level and pace. - Tasks are estimated at ~20 hours each; you set your own schedule. Effort Estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.