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# Director, Software Engineering - Dev Ops

- **Company:** Intuit Inc.
- **Location:** Mountain View, CA, United States
- **Salary:** $308,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Information Engineering, Data Infrastructure, QuickBooks (Software), Delivery Pipeline, Database Performance, Agentic-AI, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://intuit.avature.net/externalCareers/JobApplication?pipelineId=24513

## About the Role

* Deep technical judgment across distributed systems, cloud-native architecture, data infrastructure, data engineering, transactional databases, schema design, database scaling, and platform operations.
 * Experience leading reliability and availability programs at enterprise scale, including service-level objectives, incident management, observability, capacity planning, resiliency engineering, and modernization roadmaps.
 * Demonstrated ability to drive platform transformation across complex product portfolios, legacy and modern systems, and cross-functional stakeholder groups.
 * Strong understanding of data pipelines, data aggregation patterns, data architecture, warehouse design, and the governance required to operate trusted data platforms.
 * Experience transforming developer productivity through automation, AI-assisted development, CI/CD modernization, engineering enablement, quality systems, and scalable tooling.
 * Ability to lead enterprise-wide operating-model change across multiple capabilities, teams, and technology assets, influencing leaders across Engineering, Product, Data, Design, Security, and Business Operations.
 * Strong customer and business orientation, with the ability to connect platform health, engineering velocity, and modernization investments to customer outcomes, revenue impact, and growth.
*

 * AI fluency and curiosity, including practical experience applying GenAI or agentic engineering concepts to improve engineering workflows, automation, testing, deployment, incident response, and developer effectiveness.
 * A leadership style that builds high-performing, AI-fluent teams, develops managers and technical leaders, raises the bar on execution, and creates clarity across ambiguous, high-scale transformation work., * Drive operational excellence across QuickBooks and IES by building the systems, mechanisms, and leadership routines required to achieve 99.99% availability across 500+ assets.
 * Modernize QuickBooks platforms to support scalable growth for Mid-Market and Multi-entity customers across a broad portfolio of offerings.

## Description

* Proven experience leading large-scale engineering or development organizations responsible for business-critical platforms, operational excellence, reliability, modernization, and production health., * Lead data infrastructure and data engineering teams responsible for reliable data pipelines, aggregations, warehouse architecture, and the data foundations that power product, customer, and business decisions.
 * Oversee database engineering and administration, including transactional schema design, database performance, scaling, availability, governance, and operational readiness.
 * Transform developer and product excellence for developers through AI-assisted engineering, automation, shared platforms, productivity tooling, engineering standards, and measurable improvements to developer experience.
 * Lead enterprise-wide change across L1 capabilities and Tier 1 and Tier 2 assets, creating alignment across teams and functions while reducing operational complexity.
 * Drive the next generation of agentic engineering readiness by transforming CI/CD, outer-loop engineering, quality systems, deployment workflows, and automation across QuickBooks assets.
 * Create clear operating mechanisms, metrics, and accountability systems that balance short-term revenue priorities with long-term platform health, resilience, modernization, and customer benefit.
 * Partner deeply with Product, Design, Data, Security, Infrastructure, Finance, and business leaders to prioritize investments, manage tradeoffs, and deliver outcomes tied to customer growth and business impact.
 * Build and develop a leadership team that models technical depth, operational rigor, customer obsession, courageous decision-making, and strong cross-functional partnership.