Overview:
In this role you will lead and architect full-stack, secure, scalable enterprise applications for Deloitte’s Cyber Engineering initiatives. You’ll mentor teams, translate business needs into technical solutions, and guide modernization and AI/GenAI integrations within enterprise ecosystems. You’ll work closely with product, design, and leadership to shape cyber capabilities and drive high-impact outcomes for clients. This is a hands-on, governance-minded leadership role in a growing cyber technology team. Compensation / Benefits discretionary annual incentive program professional development opportunities flexible work arrangements (implicit in consultancy culture)
Responsibilities:
Define end-to-end architecture for frontend, backend, APIs, data, cloud, and integration layers Design scalable, secure solutions using microservices, serverless, and event-driven patterns Provide technical leadership for AI, GenAI, and Agentic AI in enterprise apps Drive architecture decisions, standards, and alignment with tech strategy Collaborate with product managers, designers, and engineers to translate requirements Lead design, architecture, and code reviews to raise quality Mentor junior to senior developers and foster collaborative engineering culture Contribute to project planning, estimation, and risk management across delivery teams Oversee performance, security, reliability, and maintainability in development lifecycle Support CI/CD, release governance, and cloud deployment practices Identify risks, dependencies, and bottlenecks and drive mitigations Partner with leadership on technical roadmap, modernization, and platform evolution
Key requirements:
7+ years in full-stack software engineering or tech leadership for enterprise apps Experience delivering production-grade apps with OO programming and design patterns Frontend experience with Angular, React, or Next.js; JS/TS/HTML5/CSS3 Backend experience with Node.js, Python (Django/Flask), or Java (Spring Boot) Experience designing REST APIs, microservices, and/or serverless architectures Relational DB experience (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL (e.g., MongoDB, Redis, Cassandra, DynamoDB) Git, Azure DevOps or equivalent CI/CD toolchains; Docker; Kubernetes Cloud experience (AWS, Azure, or GCP) Automated testing and CI/CD practices; Agile/Scrum experience AI/GenAI integration into enterprise apps; at least one production/pilot implementation Experience with architecture reviews and governance; project estimation and risk management Bachelor degree in Computer Science, Engineering, IT, Data Science, or related field Willingness to travel up to 20% One active cloud certification in AWS, Azure, or GCP Limited immigration sponsorship may be available Strong communication and stakeholder management Mentoring and leadership Collaboration across cross-functional teams Full-stack engineering Microservices and serverless architectures AI, GenAI, and Agentic AI implementations