Senior Lead Software Engineer, Systems - Vice President

Citi's Core Payment Systems team is looking for a Senior Lead Software Engineer to architect and drive the modernization of global payment processing platforms that move USD 4 trillion in client transactions every day. In this critical technical leadership role, you will define the engineering vision for resilient, high-throughput microservices that sit at the heart of Citi's transaction infrastructure — spanning 160 countries and over 140 currencies.

Sitting within Citi's Treasury and Trade Solutions (TTS) business, one of the most expansive financial services networks in the world, you will shape the next generation of payment technology at a scale few engineering roles can match.

• Lead the full software development lifecycle for mission-critical payment applications, from initial architecture through to deployment and ongoing production ownership.
• Design and build high-throughput, low-latency microservices using Java 8+, Spring Boot, and cloud-native principles to power global payment processing at enterprise scale.
• Architect active-active multi-region failover strategies, zero-downtime release models, and blue-green or canary deployment pipelines to achieve and sustain 99.99%+ system availability.
• Champion the adoption of Domain-Driven Design (DDD), event-driven architecture, and containerization using Docker and Kubernetes/Open Shift to modernize legacy payment platforms.
• Define and enforce API standards for RESTful and event-based interfaces, ensuring every integration is consistent, secure, and built to scale.
• Mentor and guide a cross-functional engineering team, establishing code review practices and raising the bar for technical quality, reliability, and innovation across the team.
• Integrate AI-powered developer tools and AI/ML capabilities — including anomaly detection, intelligent test generation, and observability platforms — into production payment workflows to accelerate delivery and improve system intelligence.
• Partner with product managers, business analysts, and operations teams to translate complex financial requirements into scalable, maintainable technical solutions.

• 6+ years of software engineering experience delivering complex, enterprise-scale applications, with at least 3 years in a technical leadership role setting direction for development teams.
• Expert-level command of Java and the Spring Boot framework for building and operating production microservices, alongside solid front-end capability in Angular, HTML5, and CSS
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• Deep practical knowledge of resilience engineering patterns including Circuit Breakers, Saga orchestration for distributed transactions, and idempotent API design applied to high-throughput payment pipelines.
• Hands-on experience with messaging and event-streaming platforms such as Apache Kafka or RabbitMQ, and with containerization technologies including Docker and Kubernetes.
• Proficiency across both relational databases (such as Oracle) and No
  
  SQL databases (such as MongoDB), with the ability to select and optimize the right data layer for a given use case.
• Solid grasp of CI/CD pipeline design, automated testing strategies, and modern Dev Ops practices that support continuous, zero-disruption delivery.
• Demonstrated ability to adopt and scale AI-powered development tools — such as Git Hub Copilot or equivalent LLM-based platforms — within an enterprise engineering team to measurably improve delivery velocity.
• Experience establishing end-to-end observability stacks including distributed tracing, real-time alerting, and production dashboards across complex, microservices-based environments.

• Familiarity with financial services or payments industry standards such as SWIFT, ISO 20022, or clearing and settlement systems.
• Experience integrating AI/ML capabilities such as predictive alerting or intelligent test generation into regulated, production financial systems.
• Exposure to AI-driven observability platforms to maintain visibility and proactive response across distributed payment ecosystems.

• A hybrid working model with 3 days in the office and 2 days working remotely, giving…