Senior Director, Web Application Development

Marriott•Bethesda, MD

2d•$146,000 - $252,000•Hybrid

About The Position

Provides technology leadership for the design, implementation, and operation of Marriott International’s DevOps, SRE, and platform engineering capabilities in a fast-paced, mission critical environment. Responsible for advancing platform reliability, scalability, and delivery velocity through DevOps practices, CI/CD (Harness), observability (Dynatrace), and resilient infrastructure aligned to enterprise architecture principles. Leads globally distributed teams across onshore and offshore models while driving continuous improvement in automation, observability, and operations. Responsibility also includes AI Operations (AIOps and AI platform reliability), with responsibility for the operationalization, monitoring, and governance of AI-driven systems, including custom agents and workflows. Establishes best practices for managing AI system lifecycles, leveraging tools such as Temporal for orchestration and integrating observability frameworks to ensure reliability, traceability, and performance of AI-enabled services across digital.

Requirements

Undergraduate degree in Engineering, Computer Science, Information Systems, or related field
10+ years in DevOps, SRE, or platform engineering
5+ years leading multiple teams across onshore and offshore delivery models
Proven ability to recruit, build, and scale engineering teams
Experience managing offshore vendors and partners
Experience with CI/CD tools at scale and understand ways to optimize their performance
Experience with observability platforms such as Dynatrace
Expertise in production operations and incident management
Experience managing large-scale digital platforms
Experience managing budgets >$2M

Nice To Haves

Experience with SRE practices (SLIs, SLOs)
Experience with a micro-service and micro-UI architecture
Experience with strict performance budgets
Experience with Harness
Experience with AI tool chains like Langchain and/or Temporal, et al
Experience using MCP/AI tools to drive automations (JIRA MCP, SonarQube), Cursor etc
Infrastructure as code experience
Kubernetes and cloud-native technologies
CI/CD transformation leadership
Familiarity with AIOps
Cloud platforms (AWS, GCP)

Responsibilities

Provides technology leadership for the design, implementation, and operation of Marriott International’s DevOps, SRE, and platform engineering capabilities.
Advances platform reliability, scalability, and delivery velocity through DevOps practices, CI/CD, observability, and resilient infrastructure.
Leads globally distributed teams across onshore and offshore models.
Drives continuous improvement in automation, observability, and operations.
Manages AI Operations (AIOps and AI platform reliability), including operationalization, monitoring, and governance of AI-driven systems.
Establishes best practices for managing AI system lifecycles.
Works with direct reports to facilitate consistency of service delivery across client groups.
Facilitates compliance with standard tools and processes across SDLC including CI/CD pipelines and automation (Harness), deployment and release orchestration, and observability and monitoring standards (Dynatrace).
Monitors adherence to defined processes and identifies opportunities for improvement.
Communicates policies and improvements across IT and service providers.
Manages technology initiatives in partnership with IT teams, business partners, and providers.
Leads cross-team coordination to ensure delivery meets client expectations.
Drives timely resolution of service delivery issues.
Manages service level reporting and performance.
Ensures alignment with business case and portfolio priorities.
Manages vendor relationships and validates SLA performance.
Builds and leads globally distributed teams across onshore and offshore locations.
Owns recruiting, hiring, and scaling of DevOps and SRE teams.
Develops leadership bench and technical depth across teams.
Manages offshore partners and aligns delivery to enterprise standards.
Drives adoption of DevOps and SRE maturity models.
Measures performance using reliability and delivery metrics.
Implements continuous improvement based on feedback and operational data.