Senior Software Engineer - Distributed Build Systems

We're looking for senior software engineers who combine deep technical ability with strong engineering judgment and the ability to lead through influence. In this role, you'll shape the platform by identifying and solving the most important problems, while raising the engineering bar for the team. You'll own technically complex and high-impact projects to optimize distributed scheduling, ensure build correctness, develop caching strategies, and continuously improve build performance at scale. You'll set technical direction, make design trade-offs, and ensure high-quality outcomes. Post-delivery, you'll use data and telemetry to measure impact, drive reliability improvements, and support production systems on call. Beyond individual contributions, you'll play a key role in elevating the team by mentoring engineers, establishing engineering best practices, improving development processes, and contributing to a culture of technical rigor and continuous improvement. You'll help less-experienced engineers grow by providing thoughtful code review, facilitating design discussions, and creating opportunities for others to take on challenging work. You'll also need to communicate effectively across organizational boundaries, articulating technical trade-offs to stakeholders, aligning efforts across teams, and representing the team's technical perspective in cross-functional planning. 5+ years of software engineering experience in developer tooling, backend, infrastructure, or systems contexts Experience developing testing strategies and operating software in production environments using metrics, telemetry, and performance data to evaluate system behavior, identify bottlenecks, and drive iteration on systems Experience owning the delivery of projects with significant scope, including defining approach and driving completion Experience mentoring engineers or raising team capabilities through code review, design guidance, or knowledge sharing Distributed systems, scheduling, or caching at scale Concurrency, systems programming, or performance optimization Build systems (Swift Build, Bazel, Buck, etc.) Observability, monitoring, or SRE practices Leveraging AI-assisted development tools to improve personal and team productivity Making risk-informed decisions about changes to systems with broad user impact Driving architectural decisions that balance near-term delivery with long-term system health * Communicating technical trade-offs to diverse audiences, including those outside your immediate domain

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