Jobs at Citi

The Senior Java Developer is responsible for leading enterprise application development, providing technical direction, managing teams, and ensuring high-quality delivery of complex integrations using Agile methodologies.

The HR Change Management Analyst will execute change strategies, create content, manage events, track impact, and maintain resources in a global HR function to drive successful transitions.

The role involves applications development, system analysis, project management, and advising lower-level analysts, ensuring successful implementation of systems and compliance with standards.

The role involves leading application systems analysis and programming, managing projects, mentoring developers, and ensuring compliance with regulations while achieving business goals.

The Big Data and SQL Developer is responsible for designing and implementing scalable Big Data solutions, mentoring engineers, and engaging with stakeholders, balancing technical tasks with leadership duties.

The Lead Java Developer will design, build, and support web applications, focusing on both front-end and back-end development using Java, Spring Boot, Angular, and microservices architecture.

As Director of Technology Platform & Governance, you will lead strategic technology programs, ensuring alignment with business goals while managing risks and compliance across a multi-team organization.

The Python Developer will create Gen AI solutions, collaborate in Agile teams, write maintainable code, manage project delivery, and ensure compliance with standards.

Lead the analysis and development of application systems, resolve complex issues, and manage data governance efforts across teams.

The Infrastructure DevOps Lead Analyst role involves designing and supporting CI/CD pipelines, automating processes, and ensuring application platform stability, scalability, and security. Responsibilities include troubleshooting, coding in Python, collaborating with teams, and guiding junior analysts.

Lead applications systems analysis and programming activities, including integration functions, project leadership, risk assessment, and team management.

The role involves hands-on development in Java and Spring Boot to design and implement solutions for investment banking, managing an agile delivery team and ensuring code quality through reviews. Responsibilities include coding, peer reviews, CI/CD activities, and collaborating with business partners to meet strategic requirements.

Lead the adoption of Generative AI and Large Language Models in enterprise solutions, focusing on engineering, collaboration, and innovation. Engage with stakeholders, implement scalable AI systems, and drive cultural change and efficiency.

Lead a team to ensure the stability and reliability of AI and DevOps platforms by improving operational efficiencies, incident management, and collaborating with development teams. Assist in capacity management and automation initiatives, and oversee production platform health.

The Senior Java Developer will oversee application development, perform feasibility studies, provide user support, and ensure compliance with best practices and regulations while mentoring junior staff.

The Application Support Engineer provides tech and business support for applications, improves processes, resolves app issues, and ensures system stability and effectiveness while mentoring junior staff.

The Applications Support Lead Analyst collaborates with technology teams to enhance system functions, ensures effective integration, analyzes business processes, and mentors junior analysts while managing risks and compliance.

The role involves developing and deploying Generative AI systems, mentoring junior engineers, and ensuring engineering excellence in a hands-on capacity.

As a Kafka DevOps Engineer, you'll support Kafka operations, including incident resolution, system monitoring, and collaboration with engineering teams to ensure service stability and functionality.

Design and implement Generative AI solutions for finance, develop chatbots, process data, and maintain AI models in production.