Full Stack Java/React Technical Lead - Vice President

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Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

The Full Stack Java/React Technical Lead is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities:

Lead by example in bringing agility into software development by following agile best practices.

Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).

Integrate Generative AI capabilities into existing systems and develop new AI-powered applications.

Be a liaison between development manager and the scrum team.

Coach/mentor team, eliminate the impediments.

Manage the stakeholders, partner to develop roadmap, releases / milestones, and be accountable to the delivery.

Develop frameworks, designs, data models, architecture diagrams etc., document, communicate within and outside the team.

Ensure best engineering standards are followed by team including DevOps and SRE.

Be the second level reviewer for the application design and implementation.

Provide inputs, review the test plans and test cases for adequate coverage to ensure the product quality.

Be accountable for the releases to go smoothly.

Be single point of contact for production incidents at L3 level, troubleshoot, perform root cause analysis, resolve issues permanently.

Ensure sprint deliverables are met.

Adjust the capacity and still be hands-on in addressing the stories as developer.

Qualifications:

6+ years of Full Stack software engineering experience in developing enterprise scale applications.

Expertise in building web applications using Java, Springboot, Microservices,Angular/React, and Oracle/PostgreSQL technology stack.

Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Experience with Google ADK or similar Google AI/ML platforms and SDKs.

Expertise in enterprise integrations through RESTful APIs, Kafka messaging etc.

Expertise in Elastic Search, NoSQL databases, and Caching solutions.

Expertise in designing and optimizing the software solutions for performance and stability.

Expertise in troubleshooting and problem solving.

Expertise in site reliability engineering.

Expertise in Test driven development.

Expertise in Authentication, Authorization, and Security.

Familiarity with AWS cloud, prepare to migrate applications, services, and data to AWS.

Bachelor's degree in Computer Science or Software Engineering or equivalent work experience

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