Staff Software Engineer, Google Cloud CISO

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience architecting, implementing, and operating large-scale

distributed systems, transactional storage engines, or high-performance

database internals.

• 5 years of experience with ML design and ML infrastructure (e.g., model

deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience developing production-critical systems in Rust.
• 3 years of experience in technical leadership, setting multi-year

architectural roadmaps, and driving cross-organizational technical

initiatives.

• Experience with formal specification, formal methods, or verified systems

development (e.g., Verus, TLA+, SMT verification, or proof-carrying code).

PREFERRED QUALIFICATIONS:

• PhD in Computer Science with a focus on Distributed Systems, Transactional

Storage, Database Engines, or Formal Verification.

• Track record of architecting petabyte-scale storage engines, distributed

consensus protocols or low-latency key-value databases.

• Expertise in hardware-conscious algorithmic design, query optimization,

LSM-tree architectures, and zero-copy memory pipelines.

• Contributions to the broader systems and Rust open-source ecosystems (e.g.,

authoring/maintaining widely adopted crates, database engines, or storage

primitives).

• Ability to influence executive leadership and drive adoption of

transformative security and verification technologies across multiple product

areas.

• Research publications in systems and data engineering venues (e.g., OSDI,

SOSP, NSDI, VLDB, SIGCOMM, EuroSys).

ABOUT THE JOB:

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. As a software engineer, you will work on a specific project critical to

Google Cloud's needs with opportunities to switch teams and projects as you and

our fast-paced business grow and evolve. You will anticipate our customer needs

and be empowered to act like an owner, take action and innovate. We need our

engineers to be versatile, display leadership qualities and be enthusiastic to

take on new problems across the full-stack as we continue to push technology

forward.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Lead the design and implementation of solutions in specialized ML areas,

optimize ML infrastructure, and guide the development of model optimization

and data processing strategies.

• Define the multi-year technical vision and architectural roadmap for

high-efficiency, formally verified systems across Google Cloud CISO.

• Lead the end-to-end architecture and implementation of distributed

transactional systems, storage layers, and query engines built in Rust and

verified with Verus. Formulate verification strategies for complex,

multi-component distributed protocols, proving correctness, fault tolerance,

and data integrity under arbitrary failure modes.

• Lead initiatives to replace bug-prone, resource-heavy legacy components with

formally verified, resource-efficient alternatives across internal and

open-source infrastructure. Partner with VP-level and Principal engineering

leadership to establish organization-wide verification standards, security

baselines, and developer tooling.