Lead Managed Services Engineer

About the role

LEAD MANAGED SERVICES ENGINEER

Engineering and Product | Engineering Managed Services Same job available in 33 locations

Atlanta, Georgia, United States

Baltimore, Maryland, United States

Boston, Massachusetts, United States

Charlotte, North Carolina, United States

Chicago, Illinois, United States

Cincinnati, Ohio, United States

Cleveland, Ohio, United States

Columbus, Ohio, United States

Costa Mesa, California, United States

Dallas, Texas, United States

Denver, Colorado, United States

Detroit, Michigan, United States

Houston, Texas, United States

Indianapolis, Indiana, United States

Kansas City, Missouri, United States

Los Angeles, California, United States

McLean, Virginia, United States

Miami, Florida, United States

Minneapolis, Minnesota, United States

Morristown, New Jersey, United States

New York, New York, United States

Philadelphia, Pennsylvania, United States

Pittsburgh, Pennsylvania, United States

Rosslyn, Virginia, United States

Sacramento, California, United States

San Diego, California, United States

San Francisco, California, United States

San Jose, California, United States

Seattle, Washington, United States

St. Louis, Missouri, United States

Stamford, Connecticut, United States

Tampa, Florida, United States

Tempe, Arizona, United States

POSITION SUMMARY

Lead Managed Services Engineer II

As a Lead Engineer for Hybrid Managed Services, you will lead an AIOps-driven operating model across Infrastructure Managed Services (IMS), Cloud Managed Services, AI/HPC environments, and End-User Support Services— all within Deloitte’s Hybrid Cloud Infrastructure offering. You will architect intelligent, automated, and predictive operations that improve reliability, reduce incidents, and accelerate efficiency across complex enterprise infrastructures. While the long-term strategy centers on autonomous and AI-enabled operations, you will also oversee the disciplined management of legacy environments that require stabilization, modernization, and structured transition into the AIOps framework. This role is the executive bridge between clients, delivery teams, and leadership, ensuring business outcomes are achieved through secure, scalable, and continuously improving infrastructure operations.

Recruiting for this role ends on 11/11/26.

Work You’ll Do * Assist in leading the design and execution of an AIOps-first operating model that leverages predictive analytics, event correlation, and automated remediation to improve SLA attainment, reduce incidents, and deliver measurable efficiency gains. * Oversee end-to-end delivery across Infrastructure Managed Services (IMS), Hybrid Managed Services (HMS), Cloud Managed Services, and supporting AI/HPC environments and End-User Services—ensuring availability, performance, and operational excellence. * Manage legacy and traditional infrastructure estates while driving their gradual modernization, including the adoption of enhanced observability, automation playbooks, and AIOps capabilities. * Implement and evolve advanced observability platforms (e.g., Prometheus, Grafana, ServiceNow, AIOps platforms) to enable real-time visibility, anomaly detection, and automated root-cause correlation. * Direct client onboarding, transitions, and run-state operations across hybrid, multi-platform environments—achieving stabilization and modernization milestones (>95% on target). * Serve as the senior escalation leader for critical incidents, ensuring rapid resolution, clear executive communication, and client satisfaction ratings ≥90%. * Drive continuous automation expansion, increasing automated remediation coverage, predictive detection accuracy, and noise reduction across monitored environments. * Champion at least two major AIOps- or automation-led service enhancement initiatives per year, delivering quantifiable improvements in MTTR, incident volume, or operational cost. * Maintain rigorous compliance, security alignment, and governance across all managed environments, targeting zero critical audit findings. * Provide monthly and quarterly updates on operational KPIs, AIOps adoption progress, automation impact, incident patterns, and client value realization.