Staff Software Engineer, Compute Engineering

Quick Facts

• Role: Staff Software Engineer, Compute Engineering

• Focus: Compute scheduling, capacity, and performance systems for private and public cloud

Description

Build software-defined, declarative infrastructure and develop components of compute schedulers and resource-management systems. Create tools for capacity data (collection, forecasting, reporting) and write performance/load tests to detect regressions. Collaborate with networking, orchestration, and SRE teams, and use AI tools to accelerate development and improve capacity/placement decisions.

Responsibilities

• Develop and maintain declarative infrastructure for compute at scale (build systems, services, automation) that is specified, documented, and testable

• Build and improve scheduler and resource-management components (placement, prioritization, preemption)

• Build tools for capacity data collection, forecasting, and reporting across private and public clouds

• Write performance and load tests; help detect regressions in scheduling latency and throughput

• Research and adopt open-source and commercial tools/methods to improve compute efficiency and reliability

• Collaborate with networking, orchestration, and SRE teams on integration and design

• Participate in design reviews and on-call rotations; contribute to post-incident improvements

• Use AI tools to speed up development and analysis; identify where ML can improve capacity or placement decisions

Requirements

• 8+ years of related experience in software engineering, cloud, or infrastructure automation with a Bachelor’s degree (or 6+ with a Master’s; or PhD with 3+ years relevant research/industry experience; or equivalent)

• Strong programming skills in Python, Go, or Java (with experience in related languages)

• Experience building and maintaining Linux-based systems with infrastructure-as-code and configuration management tools (e.g., Terraform, Ansible)

• Comfortable with virtualization and cloud infrastructure across Azure, AWS, and GCP

• Working understanding of IP networking, block and file storage, and load balancers

• Working understanding of DNS, NTP, and HTTP

• Ability to work independently across interconnected systems and investigate root causes

• Experience integrating AI into work processes, decision-making, or problem solving

• Learning mindset; motivated to build new skills and deliver real improvements for internal and external customers

• Excellent oral and written communicator

Benefits

• Base pay range: $166,500–$291,400, plus equity (when applicable) and variable/incentive compensation

• Health plans, flexible spending accounts

• 401(k) plan with company match

• ESPP and matching donations

• Flexible time away plan

• Family leave programs