Product Engineering | PxE Leadership | Lead Full Stack Engineer

Position Overview

As a Lead Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands‐on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship across multiple programming languages and modern frameworks, consistently demonstrating a strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross‐functional teams to design, develop, and deploy advanced software solutions.

Recruiting for this role ends on 2/1/2026.

The US Deloitte Technology Product Engineering team modernizes software and product delivery through a scalable, cost-effective model that focuses on value and outcomes. As Deloitte's primary internal development team, we deliver innovative digital solutions to businesses, service lines, and internal operations, driving success for many of the world's largest and most respected companies.

Key Responsibilities

• Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering 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 by ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integration, and support.
• Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks while creating technical specifications and writing scalable, high-quality code.
• Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to address customer needs. Engage with customers and product teams before, during, and after delivery to ensure timely and effective solutions.
• Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Navigate complexity with a lean-forward approach to deliver supportable and maintainable solutions.
• Cross-Functional Collaboration and Integration: Work collaboratively with product management, experience, and delivery teams. Integrate diverse perspectives to balance feasibility, viability, usability, and value while fostering team innovation.
• Advanced Technical Proficiency: Demonstrate deep expertise in modern software engineering practices, including Agile methodologies and DevSecOps. Deliver daily product deployments through full automation from code check-in to production, ensuring all quality checks are met.
• Domain Expertise: Quickly acquire business or product-specific knowledge, translating user needs, architecture, and UX/UI designs into technical specifications and code. Remain a flexible and dedicated team member focused on quality and technical debt payoff.
• Effective Communication and Influence: Articulate complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams with well-structured arguments and evidence-backed trade-offs.
• Engagement and Collaborative Co-Creation: Build constructive relationships with product engineering teams and customers, fostering a culture of co-creation and shared momentum toward product goals.

Required Qualifications

• Bachelor's degree in computer science, software engineering, or a related discipline.
• Minimum 5 years of experience with multiple programming languages such as Angular, Python, and C#, including unit testing frameworks.
• Minimum 3 years of experience with cloud-native engineering using FaaS, PaaS, and microservices on platforms like Azure, AWS, or GCP.
• Minimum 3 years of hands-on experience with Amazon cloud-native services (e.g., MSK, SNS/SQS, Lambda, Step Functions, Glue, Aurora, RDS, DynamoDB, S3, Athena).
• Minimum 1 year of experience with AI/ML and GenAI.
• Proven software engineering background with a strong understanding of OOP/OOD, data structures, algorithms, and code instrumentation.
• Experience with methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, Azure DevOps, GitHub, and SonarQube to deliver high-quality products rapidly.
• Experience with FedRAMP or federal cloud environments.
• Must be legally authorized to work in the United States without sponsorship and be able to obtain US Government security clearance.
• Ability to travel 0-10% on average, based on project and client needs.

Preferred Qualifications

• Federal contract obligations.

Benefits & Perks

• Compensation: The estimated wage range is $97,600 to $179,900. Compensation decisions are based on skills, experience, certifications, and other business needs.
• You may also be eligible to participate in a discretionary annual incentive program, with awards based on individual and organizational performance.
• For applicants requiring accommodation, please visit: Deloitte Accommodation Information