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Java Microservices Developer - Assistant Vice President

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Citi
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Java Developer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 97000 - 145000 USD Yearly USD 97000.00 145000.00 YEAR
Job Description & How to Apply Below

Citi is looking for a Java & Microservices Developer – AVP to build mission-critical, distributed backend systems that power financial transactions on a global, 24x7 scale. In this role, you will provide technical leadership for high-throughput, low-latency platforms that support real-time Payments processing. You will drive cloud-native Java microservices using Spring Boot, Kafka, and modern AI-accelerated engineering practices (AI-PDLC, Git Hub Copilot, Devin), directly shaping the reliability, performance, and 99.999% availability of critical platforms.

You will partner with product managers, enterprise architects, and cross-functional engineering squads to translate complex business and regulatory requirements into robust, production-ready solutions.

Responsibilities
  • Build high-throughput, low-latency Java microservices for 24x7 real-time transaction processing, applying core patterns to ensure zero data loss and uninterrupted availability.
  • Build event-driven streaming and messaging architectures using Apache Kafka
  • Champion and institutionalize the AI-Assisted Product Development Lifecycle (AI-PDLC) across engineering squads, leveraging generative AI developer tools and autonomous agents (such as Git Hub Copilot, Devin, and AI-driven automated testing/code review tools) to accelerate delivery velocity while enforcing firmwide security and governance standards.
  • Construct resilient cloud-native services utilizing Spring Boot and Spring Cloud components, establishing centralized configuration management, service discovery, distributed tracing, and mTLS security for financial service-to-service communication.
  • Implement modern financial messaging standards and payment protocols, including ISO 20022 (pacs, pain, camt), real-time payment schemes, and industry-standard financial networks, ensuring strict alignment with data security standards and cryptographic controls.
  • Optimize data access and persistence tiers across distributed SQL and in-memory caching solutions to maximize throughput and achieve sub-millisecond execution times.
  • Apply deep expertise in core Java concurrency, Virtual Threads, memory management, and JVM garbage collection tuning to deliver ultra-performant, thread-safe backend architectures.
  • Partner with Site Reliability Engineering (SRE) to establish observability standards (Open Telemetry, Prometheus, Grafana, Splunk) and lead performance profiling, chaos engineering experiments, and volume stress testing across all transaction paths.
  • Lead technical design reviews and code reviews, providing mentorship and architectural guidance that elevates engineering excellence, code quality, and security posture across multiple squads.
  • Guide containerized workload deployment and management on Docker and Kubernetes / Open Shift, supporting modern CI/CD automation and zero-downtime deployment strategies.
Required Qualifications & Skills
  • Hands-on Java software engineering experience of 8+ years, with deep proficiency in Java 17/21, concurrency utilities, Virtual Threads, memory management, and advanced JVM performance tuning.
  • Demonstrable track record of designing, developing, and operating production-grade microservices using Spring Boot, Spring Cloud, and reactive programming paradigms.
  • Deep expertise in event streaming and messaging architectures using Apache Kafka or RabbitMQ, with practical mastery of partitioning strategies, distributed transactions, and idempotency patterns.
  • Practical mastery of microservices architecture patterns including API Gateway, SAGA, CQRS, Event Sourcing, Transactional Outbox, Circuit Breaker, and Service Discovery.
  • Hands-on experience integrating AI-assisted developer tools (e.g., Git Hub Copilot, Devin, AI code analysis tools) and AI-PDLC practices into team…
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