Driving the company’s Infrastructure roadmap across Setup & Deployment, Runtime, Storage, and AI Infra.
Leading cross-functional programs that improve scalability, reliability, cost efficiency, and developer velocity.
Defining and orchestrating how Glean instances are deployed, upgraded, and monitored at scale.
Partnering with AI and Data teams to evolve our ML pipelines, model training infrastructure, and LLM serving stack.
Leading initiatives to improve observability, configuration management, and resource utilization.
Coordinating capacity planning, infrastructure migrations, and performance optimization programs.
Building clear visibility into infra cost drivers and partnering with finance and engineering leaders on optimization initiatives.
Lead end-to-end infra programs spanning compute, networking, storage, orchestration, and AI workloads.
Partner with Engineering to define standards for environment provisioning, deployment automation, and configuration governance.
Develop and operationalize frameworks for runtime health, scaling, and disaster recovery.
Drive consistency and automation across deployment orchestration systems.
Establish clear metrics for reliability, performance, and cost efficiency.
Coordinate cross-team delivery of high-impact programs such as data pipeline scalability, LLM infrastructure expansion, or infra observability improvements.
Communicate program status and technical risks effectively to leadership and stakeholders.
Continuously identify process or system bottlenecks, and drive automation to improve speed and reliability of infra operations.
BS/MS in Computer Science, Engineering, or a related technical field.
8-10+ years of experience in technical program management, infrastructure, or SRE, with at least 3-5 years managing infra or platform-scale programs.
Proven success delivering cross-functional infrastructure programs in B2B or enterprise environments where scalability, uptime, and performance are critical.
Experience working closely with Infra, SRE, and ML/AI teams on distributed systems or data infrastructure.
Strong understanding of cloud infrastructure (AWS, GCP, or Azure) including compute, networking, storage, and orchestration systems.
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