Deloitte · 2 months ago
Product Engineering | PxE Leadership | Lead Full Stack Engineer
Deloitte is a leading professional services firm that focuses on delivering innovative digital solutions. As a Lead Full-stack Software Engineer, you will engage in high-visibility projects, leveraging your engineering expertise to deliver customer-centric solutions and drive value for the business.
AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management
Responsibilities
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
Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support
Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams
Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time
Adopt 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
Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. 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
Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning
Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff
Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives
Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. 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
Qualification
Required
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, C# as well as unit testing frameworks
Minimum 3 years of experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as 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
Prior software engineering experience with an understanding of OOP/OOD, data structures, algorithms, and code instrumentations
Prior experience using one or more of the methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, Azure DevOps, GitHub, SonarQube, etc., to deliver high-quality products rapidly
Prior experience with FedRAMP or federal cloud environments
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be able to obtain US Government security clearance
Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
Federal contract obligations
Benefits
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.
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.
Company
Deloitte
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services.
Funding
Current Stage
Late StageLeadership Team
Recent News
2026-01-08
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