Software Engineer, Technical Lead - Performance Data Platform

Responsibilities

• Define the end-to-end architecture: the data model, the service and API contracts, and the boundaries with the tools and teams that produce the data.
• Make foundational decisions and justify them in documents. Include considered alternatives and evidence that could reverse them. Align these decisions with partner teams and their roadmaps.
• Build in the early phase: stand up services, APIs and a deployment path yourself, so that partners can develop the system before every role is filled.
• Explain how automated analysis agents operate within the platform. Describe what queries they may perform, how their results relate to evidence, and the constraints on their cost and response time.
• Review performance diagnoses and drive the first use cases with design partners, mentor engineers, and establish the engineering approaches the team grows into.
• What we need to see
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 15+ years of software engineering experience, including technical leadership of a data-intensive platform that shipped end to end and was used by other teams.
• Experience developing or managing systems where automated agents or models process large amounts of production data, including methods used to assess the quality of their results.
• Practical knowledge of GPU and machine learning workload performance: you can review a performance diagnosis, question its evidence, and decide which signals matter most.

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