Sr. Staff Technical Program Manager Reliability

Databricks

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

At Databricks we are passionate about empowering data teams to tackle the worlds most complex challenges from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the worlds best data and AI infrastructure platform enabling our customers to leverage deep data insights and enhance their business.

We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy execution and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the worlds most data-intensive workloads Reliability is foundational to our this role you will lead cross-company programs that significantly enhance the reliability performance and operational excellence of our multi-cloud infrastructure.

This is a high-visibility high-impact leadership role partnering closely with our most senior engineering leaders including Reliability Program executive sponsors senior TLs and Engineering Managers to define Reliability strategy set long-term goals and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on.

To be successful you must possess a deep understanding of large-scale distributed systems cloud infrastructure and engineering principles that drive operational excellence. You will leverage your background to anticipate risks shape technical direction and deliver complex programs across product engineering SRE and cloud partner teams.

You will have the opportunity to:

Lead Reliability Strategy Multi-Quarter Roadmaps

  • Partner with senior engineering leadership to define the long-term Reliability roadmap influence technical direction and ensure alignment across teams.
  • Ensure clarity and alignment on priorities across engineering teams including Platform Engineering Compute Fleet Management SRE Security and Cloud Partnerships.

Drive Execution of Critical Reliability Programs

  • Own program execution end-to-end: planning risk management dependency mapping trade-off decisions status reporting and delivery.
  • Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements.

Partner Deeply with Engineering & Influence Technical Direction

  • Using your background in infrastructure distributed systems or SRE to help teams make sound design and prioritization decisions.
  • Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready.
  • Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability fault tolerance automation and operational tooling.

Elevate Reliability Culture Across the Organization

  • Drive adoption of reliability best practices across engineering teams - including error budgets incident reviews design-for-resilience patterns and operational readiness.
  • Define and implement program governance repeatable processes metrics and documentation to scale reliability efforts across teams.
  • Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness.

What we look for:

Required Experience & Qualifications

  • 10 years of experience managing and delivering large-scale technical programs in cloud infrastructure distributed systems SRE or platform engineering environments.
  • Experience developing infrastructure at two or more hyperscale cloud providers (e.g. AWS Azure GCP) with knowledge of cloud primitives multi-AZ/region architecture and control plane/data plane patterns.
  • Demonstrated success leading Reliability Programs at scale - including availability failover operational excellence incident reduction or dependency hardening.
  • Strong understanding of infrastructure distributed systems or SRE practices; previous engineering or SRE experience is highly preferred.
  • Experience partnering directly withsenior engineering leadership to define strategy and drive large multi-team initiatives.
  • Ability to translate ambiguous goals into actionable program plans with clear milestones KPIs and success metrics.
  • Demonstrated ability to manage complex cross-organizational dependencies technical risks and multi-quarter timelines.
  • Experience delivering programs across multiple clouds and/or large-scale cloud-native services.
  • Experience building and scaling engineering processes operational frameworks and stakeholder alignment mechanisms.

Preferred Qualifications

  • Background in distributed systems engineering SRE platform infrastructure or cloud services.
  • Experience with large-scale compute fleets container orchestration autoscaling or control-plane architecture.
  • Familiarity with reliability methodologies such as SLOs error budgets chaos engineering failure mode analysis and incident management frameworks.
  • Expertise using Jira or equivalent tools for program tracking and execution.
  • Bachelors degree in Computer Science Engineering or related technical field; advanced degree preferred.




Required Experience:

Manager

At Databricks we are passionate about empowering data teams to tackle the worlds most complex challenges from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the worlds best data and AI infrastru...
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Key Skills

  • Lean Manufacturing
  • Six Sigma
  • Food Industry
  • Root cause Analysis
  • SAP
  • CMMS
  • Conflict Management
  • Maintenance Management
  • Maintenance
  • Supplier Management
  • Team Management
  • Programmable Logic Controllers

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The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.

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