Engineering Manager - Product Engineering A&A

Position Overview

As an Engineering Manager, you will actively engage in your engineering craft, taking a hands‐on approach to multiple high-visibility projects. Your expertise will be pivotal in managing engineering teams to deliver solutions that delight customers and users while driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating an exemplary track record in delivering high-quality, outcome-focused solutions.

The US Deloitte Technology Product Engineering team has modernized software and product delivery through a scalable, cost-effective model that focuses on outcomes and leverages a progressive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions that power Deloitte’s success and drive market leadership.

Recruiting for this role ends on 4/30/26.

Key Responsibilities

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes, leading teams to deliver lean, high-quality solutions.
• Technical Leadership and Advocacy: Serve as the technical advocate for products and engineering teams, ensuring proper planning, code integrity, quality, and alignment with customer goals.
• Engineering Craftsmanship: Foster a culture of engineering excellence by being hands-on in design, configuration, and code; conduct reviews, resolve blockers, optimize performance, and mentor teams.
• Customer-Centric Engineering: Lead teams to develop lean solutions through rapid experimentation and close engagement with customers and product teams.
• Incremental and Iterative Delivery: Favor action and evidence over extensive planning, delivering lean, supportable, and maintainable solutions.
• Cross-Functional Collaboration and Integration: Collaborate with product management, experience, delivery, infrastructure, and security teams to integrate diverse perspectives into well-informed decisions.
• Advanced Technical Proficiency: Utilize deep expertise in modern software engineering practices, Agile methodologies, DevSecOps, Continuous Integration/Deployment, and innovative deployment techniques to optimize solution delivery.
• Domain Expertise: Quickly acquire relevant domain knowledge to translate business and user needs into actionable engineering plans, balancing feasibility, usability, and value.
• Effective Communication and Influence: Articulate complex technical concepts clearly, inspiring and influencing stakeholders at all levels through structured arguments and evidence-based approaches.
• Engagement and Collaborative Co-Creation: Build and maintain constructive relationships with stakeholders from team members to senior executives, fostering a culture of co-creation and shared responsibility for product success.

Required Qualifications

• Education: A bachelor's degree in computer science, software engineering, or a related discipline.
• 10+ years proven experience with programming languages (Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL) and unit testing frameworks, including 5 years’ experience in managing engineering teams in product engineering organizations from inception to delivery.
• 5+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud platforms like Azure, AWS, and GCP.
• Excellent software engineering and product architecture/design foundation with experience in Business Context Diagrams, sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, and code instrumentation.
• Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, and SonarQube to deliver high-quality products rapidly.
• Excellent interpersonal and organizational skills with the ability to handle diverse situations, complex projects, and changing priorities with passion, empathy, and care.
• Limited immigration sponsorship may be available.

Preferred Qualifications

• Qualifications: Advanced degree (e.g., MS) is preferred but not required.
• Qualifications: 3+ years of experience with AI/ML and GenAI is preferred.

Benefits & Perks

• Compensation: $107,700 to $221,200 per year
• Eligibility to participate in a discretionary annual incentive program, subject to program rules.
• For applicants needing accommodation, please visit: Deloitte Accommodation Information