Staff Software Engineer, AI/ML, AI Data Platform

Socket.dev; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google's team is seeking seasoned software engineers to advance next-generation data processing and AI-driven security workloads. The role focuses on building scalable lakehouse and streaming architectures across global customers, with opportunities to impact enterprise analytics and security products.

Ideal candidates bring deep experience in large-scale distributed systems, design leadership, and a track record of delivering complex software at scale, including AI integrations.

Qualifications

• 8 years of experience in software development.
• 5 years testing, and launching software products, and 3 years designing and architecture.
• 5 years designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
• Experience with AI platforms or generative AI technologies (including generative AI agents).

Responsibilities

• Develop an understanding of schema-on-read pipelines, in-line streaming enrichment, and search indexing architectures.
• Design, lead, build, and launch cloud lakehouse solutions with safe rollouts for global customers.
• Improve data storage tiers, indexing, and enrichment to enhance BigQuery lakehouse services.
• Identify architecture improvements to make platforms simpler, robust, and scalable for fast SQL analytics and AI workloads.
• Leverage SIEM, security data lakes, or large-scale data products to address customer pain points and deliver high-impact projects.

Skills

Software development

Testing, launching software products

Software design & architecture

Large-scale distributed systems

Generative AI / AI platforms

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering or CS

Job description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience designing, leading, and scaling large-scale software architectures, distributed systems, or high-throughput data processing platforms.
• Experience working with AI platforms or generative AI technologies (including generative AI agents).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience building large-scale distributed systems processing data at scale.
• Experience working in the Enterprise Security space, specifically, building SIEM products.

About the job:

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.

The Data Intelligence team is responsible for processing Exabytes of data at Planetary speed. This includes processing data in real time (streaming), semi-real time (batch processing jobs), and providing data intelligence such as enrichment to enterprise customers.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.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.

Responsibilities:

• Develop an understanding of our schema-on-read pipelines, in-line streaming enrichment, and search indexing architectures. Design, lead, build, and launch critical cloud lakehouse solutions from the ground up, managing safe rollouts across our global customer base.
• Reimagine our data storage tiers, indexing mechanisms, and enrichment capabilities by partnering across engineering and product to enhance core BigQuery and open-table lakehouse services that process exabytes of security telemetry.
• Identify and implement architecture improvements that make our platform simpler, more robust, and horizontally scalable to unleash the full potential of customers’ data for fast SQL analytics, anomaly detection, and AI-driven security workloads.
• Leverage your expertise in SIEM, security data lakes, or large-scale distributed data products to address customer pain points, propose innovative architectures, and deliver high-impact projects while working closely with product and users to incorporate feedback.
• Manage project priorities for yourself and collaborative workstreams. Meet deadlines and deliverables with your technical expertise, proactively identifying risks and communicating schedule adjustments.