Engineering Manager - CL5
Role 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 also 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 your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, advocating engineering excellence, and leading cross-functional teams to design, develop, test, deploy, and operate advanced software solutions.
Recruiting for this role ends on 31st July,2026
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. 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.
Key Responsibilities:
Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Lead engineering teams to deliver solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
Technical Leadership and Advocacy: Serve as the technical advocate for products and engineering teams, promoting and supporting evolutionary releases (e.g., alpha, beta, MVP). Ensure proper planning, code integrity, quality, alignment with customer goals, architecture designs, and NFRs.
Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for fostering a culture of engineering excellence within the team, being hands-on with design, configuration and/or code part of the time, contributing to team velocity. Work daily with the engineering teams to resolve any issues, blockers, or impediments, perform code reviews and optimizations, maintain coding standards compliance, and ensure that technical debt is addressed continuously within sprints to achieve comprehensive quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the teams to learn and drive application of those new technologies. Mentor and coach product engineering team to cultivate and nurture strong masters of crafts with passion towards product outcomes.
Customer-Centric Engineering: Lead engineering teams to develop lean solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right solution for the product in the right way at the right time.
Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning.
Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business and user needs into engineering plans (e.g., sprint plans, enables, tasks, priorities). Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals.
Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives.
Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
Key Qualifications:
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A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.
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Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc.
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10+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks with 5 years' experience in managing engineering teams in product engineering organizations from inception to delivery.
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5+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.
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3+ years of experience with AI/ML and GenAI is preferred.
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2+ years experience managing cross-functional teams of software and AI/ML engineers, with experience of moving AI prototypes into robust, high-availability production environments.
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Deep understanding of entire application lifecycle, including LLM orchestration(e.g., RAG, LangChain), vector database management and the integration of model APIs into modern microservices.
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2+ years experience implementing automated CI/CD pipelines specifically for AI including architectural observability, performance monitoring, and cost-optimization for model inference.
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Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
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Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
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Limited immigration sponsorship may be available
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,700 to $221,200.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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