Full Stack Tech Engineering Lead

CitiNew York, NY
$142,320 - $213,480Onsite

About The Position

Citi is a world-leading global bank with approximately 200 million customer accounts and a presence in more than 100 countries and jurisdictions worldwide. The COO Enterprise Solution Engineering capability is responsible for the design and development of best-in-class technology platforms for Operations, including development of an integrated portfolio of Operations tools, end-to-end solution design for large scale transformation initiatives, design governance, and adoption of Generative AI solutions for driving operational efficiencies. We are hiring a software engineer to design and lead a critical Cash & Intraday Liquidity Management platform. This platform sits at the intersection of engineering ambition and real-world financial impact — for a wide range of internal and external consumers. This is a rare opportunity for a hands-on engineering leader to own a multi-year technical roadmap, build and scale a world-class global engineering organization, and deliver AI-first, cloud-native systems that operate with the highest standards of availability across multiple geographies and regulatory environments. If you are energized by hard engineering problems, thrive at the intersection of technical depth and organizational scale, and want your work to matter at a global level — this role is built for you.

Requirements

  • 6+ years of software engineering and technology hands-on experience, with at least 4 years in enterprise-grade, high-traffic applications — this is a hands-on technical leader role, and architectural decisions are made by someone who can build.
  • Demonstrated expertise designing and operating highly available, multi-region distributed systems — including active-active and active-passive topologies, data residency controls, disaster recovery strategies, and cross-jurisdictional regulatory compliance architecture.
  • Deep hands-on proficiency in Java, Spring Boot, with practical experience building microservices, APIs, and event-driven systems using Apache Kafka, IBM MQ or equivalent high-throughput messaging platforms.
  • Fluency across the full engineering stack — front-end (ReactJS), back-end (Java, Spring), data stores (Oracle, MongoDB), and containerized cloud-native infrastructure (Kubernetes, Docker, OpenShift, public cloud).
  • Minimum 6 years leading globally distributed engineering teams, with the ability to set technical direction, drive delivery accountability, and develop engineering talent across multiple geographies and regulatory contexts.
  • Expertise in CI/CD, test-driven development, and modern engineering tooling — including JUnit, JMeter, Mockito, Cucumber, Jenkins, and GitHub Actions — applied consistently to maintain engineering quality at scale.
  • Experience in using AI coding assistants such as CoPilot, Devin, Claude Code or equivalent.
  • Strong stakeholder management skills — experience navigating complex, matrixed organizations and driving alignment across business, technology, and operations
  • Demonstrated ability to structure and lead product working groups, driving consensus on requirements and facilitating the development and implementation of processes, data, and system designs.
  • Proven ability to attract, develop, and retain top engineering talent in a competitive market
  • Experience operating in Agile delivery frameworks at enterprise scale, with a bias for continuous delivery and iterative value creation

Responsibilities

  • Own the end-to-end technical strategy and multi-year roadmap for a foundational cash & intraday liquidity management platform — making architectural decisions that determine how a high-throughput, multi-consumer API ecosystem evolves across global markets.
  • Design and deliver highly available, fault-tolerant distributed systems across multiple geographic regions, with architectures that maintain platform continuity, data sovereignty compliance, and consistent service levels across jurisdictions with differing regulatory requirements.
  • Drive an AI-first engineering culture — embedding LLM tooling into both the platform and the team's day-to-day engineering practices to accelerate delivery velocity and raise the quality bar.
  • Lead, grow, and develop a global engineering organization of engineers, architects and product managers — building a team environment where technical craft, accountability, and continuous improvement are the standard.
  • Stay hands-on in design reviews, code quality, and technical decision-making — providing direct engineering guidance on microservices design, cloud-native deployment, distributed systems patterns, and API development.
  • Partner with risk, compliance, and infrastructure teams to embed security controls, disaster recovery planning, and audit-ready practices across all operating regions — ensuring the platform meets regulatory obligations without compromising engineering agility.

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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