DT-US Product Engineering - Engineering Manager
We are seeking an exceptional Engineering Manager who combines strong technical leadership with a proven track record of delivering customer-centric solutions. This role requires demonstrated experience in leading engineering teams, fostering engineering excellence, and driving outcomes through incremental and iterative delivery approaches.
Work you will do
The Engineering Manager will be responsible for leading engineering teams to deliver high-quality solutions while ensuring proper planning, code integrity, and alignment with customer goals. This role requires extensive experience in modern software engineering practices and methodologies, with a focus on customer outcomes and business impact.
Project Leadership and Management:
· Lead engineering teams to deliver solutions that solve complex problems with valuable, viable, feasible, and maintainable outcomes
· Establish and maintain coding standards, quality metrics, and technical debt management processes
· Design and implement evolutionary release plans including alpha, beta, and MVP stages
Strategic Development:
· Be the technical advocate for engineering teams throughout the end-to-end lifecycle of product development
· Drive engineering process improvements and innovation initiatives
· Develop and implement strategies for continuous technical debt management
Team Mentoring and Development:
· Lead and mentor engineering teams, fostering a culture of engineering excellence and continuous learning
· Actively contribute to team velocity through hands-on involvement in design, configuration, and coding
· Establish performance metrics and career development pathways for team members
· Drive knowledge sharing initiatives and best practices across the organization
· Provide technical guidance and code reviews to ensure high-quality deliverables
Customer Engagement and Delivery:
· Lead customer engagement initiatives before, during, and after delivery
· Drive rapid, inexpensive experimentation to arrive at optimal solutions
· Implement incremental and iterative delivery approaches to navigate complexity
· Foster high levels of customer engagement throughout the development lifecycle
Technical Implementation:
· Ensure proper implementation of DevSecOps practices and CI/CD pipelines
· Oversee deployment techniques including Blue-Green and Canary deployments
· Drive the adoption of modern software engineering practices and methodologies
· Maintain oversight of architecture designs and non-functional requirements
Technical Expertise Requirements:
Must Have:
· Modern Software Engineering: Advanced knowledge of Agile methodologies, DevSecOps, and CI/CD practices
· Technical Leadership: Proven experience in leading engineering teams and maintaining code quality
· Customer-Centric Development: Experience in delivering solutions through experimentation and iteration
· Architecture & Design: Strong understanding of software architecture principles and patterns
· Quality Assurance: Experience with code review processes and quality metrics
· Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI)
· Version Control & Collaboration: Strong proficiency with Git and collaborative development practices
· Deployment & Operations: Experience with modern deployment techniques and operational excellence
· AI/ML Engineering: Experience with machine learning frameworks (TensorFlow, PyTorch), MLOps practices, and AI model deployment
· Data Processing: Knowledge of data processing tools and pipelines for AI/ML applications
· Domain-Specific Knowledge and experience: Custom, Mobile, Data & Analytics, RPA, or Packages
Good to Have:
· Cloud Platforms: Experience with major cloud providers and their services
· Package Implementations: Experience with enterprise software package configurations
· Test Automation: Knowledge of automated testing frameworks and practices
· Container Technologies: Experience with Docker and Kubernetes
· Infrastructure as Code: Knowledge of infrastructure automation tools
· Advanced AI/ML: Experience with large language models, deep learning architectures, and AI model optimization
· AI Platforms: Familiarity with enterprise AI platforms like Databricks, SageMaker, or Azure ML
Education:
· Advanced degree in Computer Science, Software Engineering, or related field, or equivalent experience.
Qualifications:
· 10-13 years of software engineering experience with at least 5 years in technical leadership roles
· Proven track record of leading and delivering large-scale software projects
· Strong experience in modern software development methodologies and practices
· Demonstrated ability to drive engineering excellence and team performance
· Experience in stakeholder management and cross-functional collaboration
· Expert-level proficiency in software development and technical leadership
· Strong track record of implementing engineering best practices and quality standards
· Excellent oral and written communication skills, including presentation abilities.
The Team
Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
The ~3,000 professionals in ITS deliver services including:
- Security, risk & compliance
- Technology support
- Infrastructure
- Applications
- Relationship management
- Strategy
- Deployment
- PMO
- Financials
- Communications