DET-Senior Technical Lead - FullstackQuantum-GDS

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.

Job Summary

This role requires a highly skilled professional with total 4–5 years of experience in Python development and strong expertise in optimization, AI/ML applications, and quantum computing frameworks. He/she needs to have strong communication skills and the ability to work with our clients and teams across globe. An experience in working on Azure and dev ops tools would be an added advantage.

Your Responsibilities :

• Develop scalable, fast, and robust quantum, hybrid, and classical solutions (web-based or computational) to solve complex optimization, logistics, finance, or scientific business problems.
• Lead proofs-of-concept and prototypes for quantum and AI/ML applications, guiding projects from scoping through design, development, testing, and deployment on quantum hardware or simulators (e.g., IBM Quantum, D-Wave).
• Collaborate with cross-functional stakeholders (Product Management, Operations Research, Engineering, and Business Teams) to ensure solutions meet business requirements and deliver measurable impact.
• Stay current with emerging technologies in quantum computing, AI/ML, and open-source ecosystems, proactively identifying opportunities to incorporate them into client solutions and internal accelerators.
• Suggest alternative approaches and architectures to optimize performance, improve efficiency, and maximize reusability across projects.
• Apply analytical and problem-solving skills to manage multiple concurrent projects, prioritize tasks effectively, and deliver high-quality outputs under deadlines.
• Contribute to organizational knowledge repositories, best practices, and accelerators in the areas of AI, optimization, and quantum computing.
• Maintain strong focus on compliance, documentation, and delivery discipline, including timely status reporting, issue resolution, and quality assurance.
  
  

Primary Skill sets :

• 6 to 10 years of experience in application development
• Strong hands-on Python development experience, with proficiency in computational libraries (NumPy, Pandas, SciPy, scikit-learn).
• Familiarity with optimization, AI/ML applications, and building scalable algorithms for business use cases (logistics, finance, scientific problems).
• Knowledge of quantum computing frameworks such as IBM Qiskit, QCtrl, Google Cirq, PyQuil, and exposure to quantum programming languages (Q#, Cirq).
• Experience in designing and implementing quantum and hybrid algorithms on simulators and hardware (e.g., IBM Quantum Experience, D-Wave).
• Experience in developing REST services
• Highly experienced with back-end programming languages like Python
• Experience with developing web-based solutions using HTML 5, CSS/CSS3, JavaScript framework like Angular JS, React etc.
• Familiarity with database technology such as MySQL, Oracle and MongoDB
• Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc.
• Azure/AWS knowledge is required
• Agile development experience
• Strong communication skills
• Ability to in leading team
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
  
  

Secondary Skill Sets :

• Work closely with Product Management to plan and negotiate iterative development cycles in an Agile environment.
• Should have experience in architecting applications in Cloud
• Ability to work in a team environment as well as individual contributor
• Ensuring non-functional aspect like high availability, scalability, security, performance, resiliency, cloud readiness & monitoring etc of partner integration are well crafted in architecture and design produced and are validated before & after implementation of application / enhancement / initiative / project etc.
  
  

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