Sr. Technical Program Manager - Reliability
Listed on 2026-09-01
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IT/Tech
SRE/Site Reliability
Sr. Staff Technical Program Manager
- Reliability
Join to apply for the Sr. Staff Technical Program Manager
- Reliability role at Databricks
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At Databricks, we empower data teams to tackle the world’s most complex challenges by building and operating the best data and AI infrastructure platform, enabling customers to leverage deep insights and enhance their businesses.
ResponsibilitiesLead the strategy, execution, and continuous improvement of key Reliability initiatives across infrastructure and product engineering teams.
- 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.
- 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 team leads to proactively drive organizational or technical improvements.
- 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.
- 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.
- 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 highly preferred.
- Experience partnering directly with senior 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.
- 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.
- Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred.
Local Pay Range: $191,400 – $252,720 USD. The pay range 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…
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