Staff Software Engineer, AI/ML, AI Data Platform

About the role

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.

Google Security Operations is the fastest growing product in GCP and supports

customers, partners, and government across the globe. With Google Security

Operations, customers are able to discover and stop cyber attacks before they

cause harm. With our expertise in global-scale threat intelligence, large-scale

cloud computing, big data, and AI, we help our customers and partners understand

and solve their most significant security challenges as well as transform and

modernize their security operations.

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

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

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.