EY-GDS Consulting-AIA-Full stack Engineer-Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

FullStack Engineer

Cloud-Native Applications, AI Experience Layers and Enterprise Integration

The Opportunity

We are seeking a FullStack Engineer to design, build and support secure, scalable enterprise web applications and AI-enabled experience layers. The role combines modern frontend engineering, backend services, API and data integration, real-time streaming, cloud-native deployment, automated testing, accessibility, observability and production support.

The successful candidate should be able to discuss enterprise, pre-production or production implementations, including the business context, individual contribution, technical design, controls, delivery approach and outcomes. Certifications and personal demonstrations supplement, but do not replace, implementation experience.

Key Responsibilities

• Design, develop, test and support responsive enterprise web applications, dashboards, chat interfaces, copilots and agent-based user experiences.
• Build reusable and accessible frontend components using React, TypeScript and Next.js or equivalent modern frameworks.
• Develop scalable backend services using Python and FastAPI, or .NET, Java or Node.js, following API-first and microservices patterns.
• Create and integrate REST or GraphQL APIs, enterprise services, workflow platforms, databases, search services and AI/LLM endpoints.
• Implement real-time interactions using WebSockets, Server-Sent Events or token streaming with resilient connection, retry and error-handling patterns.
• Design application state management, authentication and authorization, session handling, caching and secure client-server communication.
• Apply secure coding practices, input and output validation, secrets protection, dependency management, privacy controls and safe rendering of AI-generated content.
• Write unit, integration, API, UI and end-to-end automated tests; participate in code reviews, quality gates and release validation.
• Containerize services and contribute to CI/CD, cloud deployment, environment configuration, monitoring, logging and production support.
• Optimize performance, scalability, availability, accessibility, browser compatibility and user experience across frontend and backend components.
• Troubleshoot issues across UI, APIs, databases, cloud services, network paths, authentication, streaming and AI integrations.
• Prepare technical designs, API specifications, implementation documentation, test evidence and runbooks; contribute reusable components, SDKs and engineering standards.
• Collaborate with architects, UX designers, product owners, AI engineers, data engineers, security teams and business stakeholders; mentor junior developers where required.

Skills and Attributes

Professional Experience

• 4-8 years of experience in full-stack, frontend, backend or cloud-native application development.
• Hands-on experience delivering enterprise or client-facing applications through development, testing, deployment and production support.
• Experience integrating AI/ML, GenAI, chatbot, copilot or agent capabilities into web applications is preferred.

Frontend Skills

• Strong proficiency in JavaScript or TypeScript, React and modern web development; experience with Next.js is preferred.
• Strong understanding of HTML5, CSS, responsive design, component architecture, state management, forms, routing and browser behavior.
• Experience building reusable component libraries, typed API clients, dashboards, chat interfaces and accessible user experiences.
• Working knowledge of WebSockets, Server-Sent Events or token-level streaming and safe display of model-generated content.

Backend and Data Skills

• Strong proficiency in at least one backend stack such as Python with FastAPI, .NET, Java with Spring Boot, or Node.js.
• Experience with REST APIs, GraphQL, JSON, authentication, authorization, asynchronous processing, microservices and event-driven patterns.
• Experience with SQL and relational databases; exposure to NoSQL, MongoDB, Redis, ClickHouse, vector databases or enterprise search is beneficial.
• Understanding of GenAI and RAG integration, LLM APIs, prompt workflows, tool calling and agent-service integration is preferred.

Cloud, Quality and Operations Skills

• Experience with Azure, AWS or GCP and cloud-native application services.
• Working knowledge of Git, Docker, Kubernetes or managed containers, CI/CD, automated testing and environment configuration.
• Experience with logging, monitoring, tracing, performance optimization and production troubleshooting.
• Understanding of application security, OWASP practices, privacy, accessibility, secure SDLC and Responsible AI controls for AI-enabled applications.

Soft Skills

• Strong problem-solving, design thinking, code quality and technical documentation skills.
• Good communication and collaboration across UX, product, architecture, AI, data, platform and security teams.
• Ability to translate business and user requirements into maintainable, high-quality technical solutions.

Education and Preferred Certifications

• Bachelor's or master's degree in Computer Science, Information Technology, Engineering or a related discipline.
• Relevant cloud, application development, DevOps or AI certifications are preferred.

Why Join Us

• Be at the forefront of AI-driven innovation across multiple client sectors.
• Work with global clients to deliver measurable business impact.
• Collaborate with AI experts, analytics leaders and industry specialists in a highly entrepreneurial environment.

What We Offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy.

• Continuous learning: Develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: Access tools and flexibility so you can make a meaningful impact, your way.
• Transformative leadership: Gain insights, coaching and confidence to become the leader the world needs.
• Diverse and inclusive culture: Use your voice and help others find theirs.

EY | Building a better working world 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.