Deepesh Nair
👉 Head of Enterprise Reliability & Support @ Meta | AI-Native Platform Ops | 700+ Products | 100+ Engineers
- Role
- Head of Enterprise Support, Quality Engineering & Product Operations at Meta
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Deepesh Nair
With 21+ years at Meta, Amazon, and Dataminr, I lead global engineering organizations (100+ FTEs & vendor engineers) to deliver- AI-powered test automation, triage, and monitoring that accelerate resolution and boost reliability- Developer productivity frameworks that save millions in cloud costs and increase velocity- Enterprise product & tech operations across HRIS, Finance, Supply Chain, and Workplace- Compliance & multi-region transformations (GDPR, EMEA builds, large-scale infra)I’m passionate about enabling engineers to do their best work by scaling AI-enabled platforms that align reliability, compliance, and business outcomes. Open to Director / Sr. Director/ VP roles in Engineering, Productivity, or Platform Reliability.Specialties:AI in Test Automation & Triage • AI-Driven Developer Productivity • Platform Reliability & PRE • Developer Experience (DevEx) • CI/CD & Automation • Enterprise Platforms (Salesforce, Workday, Oracle, HRIS, Finance) • Global Compliance & Regionalization • Engineering Strategy • Cross-Functional Leadership • Cloud Infrastructure (AWS, Kubernetes) • Digital Transformation
Experience
Head of Enterprise Support, Quality Engineering & Product Operations
Feb 2024 — Present · Seattle, WA, US
Lead enterprise reliability, release governance, product operations, and enterprise support for ~700 Meta internal platforms across Finance, Supply Chain, People Engineering, Meta.com, and Enterprise Foundations- Own enterprise support model including tiered support structure, incident response, escalation management, and service-level objectives for internal enterprise customers across Meta- Manage global organization of 100+ engineers (FTE + vendor) delivering AI-driven testing, monitoring, support tooling, and developer productivity platforms- Built AI-native quality frameworks including LLM-based evaluation harnesses, synthetic test-data services, and model-based testing to improve reliability of large-scale enterprise systems- Partner with Engineering Directors, Product leaders, and Infrastructure teams to improve enterprise customer experience, reduce production incidents, and increase release velocity across 600+ products- Established enterprise support readiness reviews, release certification programs, and cross-org reliability governance across Meta’s enterprise stack.
Education
University of Michigan - Stephen M. Ross School of Business
Master of Business Administration - MBA, General Management, Strategy, Finance,Marketing
University of Madras
Bachelor of Engineering - BE, Telecommunications Engineering
The University of Texas at Arlington
Master of Science - MS, Telecommunications Engineering
Skills
- Test Automation Framework
- Agile Methodologies
- Scalability
- Software Engineering
- Software Design
- Eclipse
- User Acceptance Testing
- Integration Testing
- Xml
- Software Development
- Scrum
- Unix
- Team Leadership
- Quality Assurance
- Automation
- Software Project Management
- Selenium
- Test Management
- Integration
- Manual Testing
- Junit
- .net
- Regression Testing
- Test Planning
- Performance Testing
- Test Cases
- Perl
- Testing
- Sql
- Qtp
- Black Box Testing
- Cross-Functional Team Leadership
- Web Applications
- Shell Scripting
- Agile Testing
- Distributed Systems
- Test Automation
- Web Services
- Agile Project Management
- Sdlc
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