Senior Staff Software Engineer, Regulatory Lifecycle
Google· enterprise· Internet & Cloud Services· Aug 24, 2026 · 2mo agoPosted 64 days ago
New York, NY, USA · Austin, TX, USA
In office
Full-time
Staff
$175K–$240K est.
8+ years exp
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Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.
As a Technical Lead for the regulatory lifecycle engineering team, you will be the primary technical outlook and architect for a crucial part of our unified compliance platform. You will lead a team of engineers in building AI-first solutions to navigate an increasingly complex global regulatory landscape. You will be responsible for merging legacy systems, pioneering workflows for legal text analysis, and ensuring that our tools meet enterprise compliance standards. This role demands a deep understanding of distributed systems, AI and large language model integration, and the ability to drive consensus across highly different stakeholder groups, including legal, compliance, engineering, and product.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .
• Lead the architectural consolidation of existing compliance systems, ensuring high availability, data integrity, and seamless migrations.
• Drive the development of new AI capabilities, including automated requirement mapping and legal assessment drafting, while managing AI risk.
• Design and orchestrate multi-agent systems for complex tasks like document decomposition and metadata extraction, ensuring shared AI component reuse.
• Establish evaluation frameworks and service level objectives for AI models, designing effective workflows to capture expert feedback.
• Partner with cross-functional stakeholders to translate ambiguous business requirements into concrete technical roadmaps and clear execution phases.
• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience with system architecture, data modeling, distributed systems, and leading large-scale software engineering projects.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Experience with system architecture, data modeling, distributed systems, and leading large-scale software engineering projects.
Preferred qualifications:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience building and deploying LLM-based applications, multi-agent systems, or agentic workflows.
• Experience in the Governance, Risk, and Compliance (GRC) domain, or building tools for legal and compliance users.
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