Software Engineer, Data Infrastructure (Technical Leadership)

What you'll do

• Define architecture and long-term technical strategy for critical systems across engineering organizations, including complex migrations and foundational-system renewal.
• Resolve systemic reliability, performance, security, and correctness challenges; establish standards, metrics, and defenses across systems.
• Mentor technical leaders and apply AI-native workflows to improve systems design, debugging, and engineering efficiency.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of systems software engineering experience, including designing and implementing large-scale distributed systems, operating systems, storage systems, or networking infrastructure.
• Experience architecting and owning globally scaled critical systems and leading multi-year technical strategy across teams or organizations.
• Experience rearchitecting foundational infrastructure and applying AI/ML techniques to systems problems; demonstrated responsible AI practices and integration of AI tools into workflows.

Nice to have

• Industry-level impact such as open source contributions, published research, or widely adopted architectural patterns.
• Ongoing AI skill development, such as prompt/context engineering or agent orchestration.

Pay

$347,000/year to $403,000/year (base salary)

Tools

distributed systems, operating systems, storage systems, networking infrastructure

AI focus

Use AI-native tools and workflows to accelerate systems design, debugging, and engineering efficiency; apply AI/ML to systems problems such as scheduling, anomaly detection, performance optimization, and incident response, with responsible AI practices.