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

       

About Company

Deloitte is a global professional services firm that provides a wide range of services, including audit and assurance, consulting, tax, risk management, and financial advisory. With a presence in over 150 countries and a network of member firms, Deloitte serves clients across various industries, helping them solve complex business challenges, improve operations, and innovate. Known for its expertise in management consulting, technology solutions, and strategy, Deloitte is one of the Big Four accounting firms and is recognized for its commitment to quality, integrity, and making an impact in the marketplace.