Senior Technical Program Manager, Infrastructure

GAQ127R41 Location: San Francisco, CA (Hybrid) ABOUT THE ROLE At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. THE IMPACT YOU WILL HAVE * Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. * Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. * CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements. * Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default * Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency  * Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes. * Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own. WHAT WE LOOK FOR * Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable). * IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred). * Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts. * Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms. * CI/CD: Advanced knowledge of Github Actions, Github Runners. * Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK. * Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues. * Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $159,900—$219,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Glean:   Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.   About the Role: Glean is seeking a Senior Infrastructure Technical Program Manager (TPM) to lead large-scale, cross-functional initiatives that define, scale, and optimize our infrastructure platform.   This role sits at the intersection of infrastructure engineering, reliability, cost efficiency, and AI systems, driving programs that ensure Glean’s platform remains performant, scalable, and resilient as we continue to grow.   You’ll partner closely with Infra, AI/ML, and Platform Engineering teams to design orchestration systems, streamline deployments, and build the foundations that power our search and AI capabilities.   You’ll play a central role in: * 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. You will: * 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. About you: * 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. * Understanding of data pipelines, ML training workflows, and LLM runtime infrastructure is a plus. * Ability to structure complex multi-quarter infrastructure programs with clear milestones and measurable impact. * Strong written and verbal communication and ability to manage through ambiguity, anticipate scaling challenges, and align teams across priorities. * Builder mindset with focus on automation, reliability, and efficiency. Location: * This role is hybrid (4 days a week in our San Francisco office) Compensation & Benefits:   The standard base salary range for this position is $198,000 - $235,500 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.   We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.   We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-HYBRID   AI-First Mindset at Glean:   At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.   Global Data Privacy Notice for Job Candidates and Applicants:   Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy [https://www.glean.com/privacy]. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement [https://www.glean.com/arbitrationagreement]. By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement [https://www.glean.com/arbitrationagreement], and I agree to the terms.