EY - GDS Consulting - AIA - Full stack Engineer- Senior
Ernst & Young (EY)Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, remote/anywhere option, mid-level fullstack title, metro location and broad skillset increase applicant competition.
Core fullstack and cloud skills transfer across industries, but enterprise AI and consulting experience raise domain specificity.
Explicit 4–8 years plus mandatory frontend, backend, cloud, AI integration and CI/CD/security requirements increase filtering rigor.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, test, and support secure, scalable cloud-native web applications and AI-enabled user experiences across frontend and backend layers.
Implement and integrate modern frontend frameworks (React, TypeScript, Next.js) with backend services (Python/FastAPI, .NET, Java, or Node.js) including APIs, real-time streaming, AI/LLM endpoints, and enterprise data sources.
Ensure production readiness through automated testing, containerization, CI/CD, monitoring, troubleshooting, and documentation while collaborating with cross-functional teams and mentoring juniors.
Minimum Requirements
4-8 years experience in full-stack, frontend, backend, or cloud-native application development with enterprise or client-facing application delivery.
Proficiency in frontend technologies: JavaScript/TypeScript, React, Next.js preferred; and backend stacks such as Python/FastAPI, .NET, Java/Spring Boot, or Node.js.
Experience with cloud platforms (Azure, AWS, or GCP), CI/CD, Docker/Kubernetes, and secure coding practices.
Bachelor's or master's degree in Computer Science, IT, Engineering, or related discipline.
Ideal Candidate Profile
Strong technical expertise in both frontend and backend development including API-first, microservices, real-time streaming, and AI/ML integration within enterprise contexts.
Experience designing and supporting AI-enabled applications, including knowledge of GenAI, LLM APIs, and responsible AI controls.
Ability to collaborate effectively with architects, AI engineers, product owners, and security teams to deliver scalable, secure, and maintainable solutions.
