Staff Software Engineer — AI, Big Data & Security Systems

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

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.