Staff Software Engineer, AI/ML, AI Data Platform

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.
• - 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.