Senior Securities & Markets professional at MUFG responsible for data stewardship and clarity. Collaborating with teams to improve the quality and usability of Securities & Markets data.
About the role
- Applications Development Group Manager leading engineering initiatives and mentoring teams at Citi. Responsible for architecting scalable systems and driving Generative AI adoption.
Responsibilities
- Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement
- Architect scalable, high-performing systems using cloud-native architecture and proven design patterns
- Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead
- Lead data engineering efforts, including data modeling, data pipelines (ETL/ELT), batch and streaming data processing, data governance, and quality engines
- Drive Generative AI adoption across product lines, leveraging LLMs and AI-driven automation to accelerate SDLC and deliver business value
- Actively contribute to product requirements analysis and solution architecture
- Lead proof-of-concepts, design of critical components, and code reviews
- Implement foundational components across Java, Python, and Angular for enterprise-grade applications
- Champion AI-based code generation tools to automate repetitive engineering tasks
- Collaborate with DevOps teams to optimize CI/CD pipelines, containerization, and observability
- Mentor and lead a global team of engineering leads and senior developers
- Foster a culture of innovation, technical excellence, and accountability
- Ensure compliance with security, regulatory, and performance standards
Requirements
- 10+ years in software engineering, with 6+ years in hands-on leadership roles
- Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP)
- Strong expertise in microservices, RESTful APIs, and event-driven architectures
- Hands-on coding experience with Angular, TypeScript, and modern front-end frameworks
- Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies
- Familiarity with Generative AI technologies (LLMs, prompt engineering, AI integration patterns)
- Strong understanding of SAFe Agile framework and enterprise-scale agile delivery
- Knowledge of DevOps, CI/CD, container orchestration, and observability tools
- Experience in large-scale financial services enterprise environments
- Excellent communication, stakeholder management, and executive reporting skills
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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