Staff Software Engineer, GCS Resource Engineering

About the role

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

Responsibilities

• Define the technical strategy, architecture, and roadmap for GCS capacity planning, resource allocation, and priority-aware scaling systems globally.
• Design and implement complex capacity solver models and resource fungibility algorithms to optimize the utilization of physical and virtual cell compute pools, storage media, and database allocations.
• Architect robust capacity-prioritization frameworks, automated guardrails, and demand-shaping systems to guarantee predictable resource obtainability for critical production serving workloads.
• Build global observability frameworks, real-time metrics, and automated alerts to track resource headroom, identify stockouts, and adapt capacity to physical constraints.
• Guide senior engineers through high ambiguity, mentoring them to break down massive scaling challenges into tractable problems, while fostering cross-functional alignment across GCS, SRE, and Cloud infrastructure partners.

Requirements

• Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience with design and architecture and testing/launching software products.
• 3 years of experience in a technical leadership role; overseeing projects.
• 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience designing, optimization-modeling, or debugging large-scale distributed systems and storage architectures such as GCS, Colossus, or Spanner.
• 3 years of experience architecting and optimizing high-volume, programmatic data analysis pipelines using SQL databases or Python-based workflows.
• 3 years of experience applying combinatorial optimization, operations research, or constraint-satisfaction solvers to solve complex, multi-dimensional resource allocation and routing problems.
• Strong cross-functional communication and stakeholder management skills, with experience aligning policy decisions across software development and Site Reliability Engineering (SRE) partners.

Benefits

Benefits for this role include: Health, dental, vision, life, disability insurance. Retirement Benefits: 401(k) with company match. Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment. Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance. Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks. Baby Bonding Leave: 18 weeks. Holidays: 13 paid days per year.

Pay

$207,000 - $301,000 (USD) + 20% bonus target + equity + benefits

Schedule

N/A