Recruiter Analysis
Sr. Java Lead / Senior Full-Stack Developer with 11+ years in enterprise Java, microservices, API platforms and cloud-native deployments
The candidate is an experienced Java-focused full-stack engineer and technical lead with a solid track record in building enterprise middleware, API platforms and high-throughput messaging systems. They combine hands-on implementation skills (Spring Boot, Spring WebFlux, Project Reactor, Kafka/RabbitMQ) with operational responsibilities such as Kong API gateway configuration, ELK-based logging and production support. Notable strengths include operationalizing AI/LLM capabilities within Java services, optimizing JVM and multithreaded code for low-latency delivery, and integrating a variety of B2B and file-transfer technologies (Jscape, IBM Connect). The resume shows practical cloud experience across AWS, GCP and Azure and a mix of frontend (Angular, React) and backend competencies, making the candidate suitable for roles requiring end-to-end ownership of API-driven, cloud-native services. Interview focus should validate depth in reactive programming, specific Kong plugin development experience, performance tuning approaches, and examples of leading incident resolution and cross-team coordination. Overall, a technically mature candidate who contributes at both design and implementation levels with clear experience in financial services and regulated environments.
Technical Profile
Experienced Java/J2EE engineer and technical lead with 11+ years across backend, middleware, integrations and front-end SPA development. Strong focus on building scalable microservices, reactive APIs with Spring WebFlux, messaging systems, API gateway design (Kong) and operationalizing AI/ML models. Hands-on with AWS, GCP and Azure, container orchestration (EKS/GKE), Docker, ELK logging and traditional middleware (WebLogic, IBM Connect). Familiar with data platforms including Snowflake and MongoDB and experienced in security (JWT/OAuth2, LDAP) and B2B integrations.
Candidate has worked on multiple large-scale, production-critical systems with emphasis on throughput, reliability and security. Their contributions span API gateway configuration and custom plugin development that delivered measurable latency and access improvements, reactive API implementations using Spring WebFlux and Project Reactor, and the operationalization of AI/LLM components within Java microservices. The resume demonstrates experience across the full stack — from low-level JVM and multithreading optimizations to front-end SPAs and serverless front-end integrations. Integration experience with B2B gateways, file transfer solutions and centralized logging indicate mature operational awareness.
Core backend: Java, Spring Boot, Spring WebFlux, Hibernate, Project Reactor. Messaging: Kafka, RabbitMQ, JMS, TIBCO. Frontend: Angular (incl. Angular 13), React 18, TypeScript, JavaScript. Data: Snowflake, Oracle, MongoDB, DynamoDB. Cloud/infra: AWS, GCP, Azure, Kubernetes (EKS/GKE), Docker. API/platform: Kong, JWT/OAuth2. Observability: ELK, CloudWatch, X-Ray.
Skills
Primary
JavaSpring BootSpring WebFluxMicroservicesRESTful APIsHibernateSQLReactive ProgrammingMessaging (Kafka/RabbitMQ/JMS)AngularReactJavaScriptTypeScriptPythonShell Scripting
Secondary
Spring MVCSpring SecuritySpring DataProject ReactorMultithreadingJVM TuningKong API GatewayJWTOAuth2Apache KafkaAKKA StreamsTIBCO EMSTIBCO RendezvousJMSDockerKubernetesAWSGCPAzureSnowflakeMongoDBOracleDynamoDBELK StackJscapeIBM Connect:DirectOpenText BizManagerIBM Sterling File GatewayWebLogicMavenGradleJUnitMockitoJBehaveServiceNowVertxReduxRedux-Saga
Frameworks
Spring BootSpring MVCSpring SecuritySpring DataHibernateAngular (Angular 13)AngularJSReact (18)NodeJSProject ReactorVertxReduxRedux-Saga
Databases
OracleSnowflakeMongoDBDynamoDBAzure SQL
Cloud
AWSGCPAzure
Work Experience
Senior Full-Stack Developer / Java Tech Lead
Citi Bank
Designed and led development of middleware APIs, real-time messaging platforms and web tools to provide financial instrument data and operationalize AI/ML models. Built scalable microservice infrastructure and reactive APIs to support high-throughput, low-latency requirements for front-office consumers and enterprise systems.
JavaSpring BootSpring WebFluxProject ReactorReactive ProgrammingHibernateOracleSnowflakeApache KafkaRabbitMQJMSTIBCO EMSAKKA StreamsKongJWTOAuth2AngularReactTypeScriptJavaScriptPythonShell ScriptingDockerKubernetes (EKS/GKE)AWS (S3, CloudFront, Lambda, API Gateway, DynamoDB, CodePipeline, CodeBuild, CloudWatch, X-Ray)ELK StackJscapeIBM Connect:DirectWebLogicMavenGradleJUnitMockito
- Develop, maintain and enhance middleware APIs, web tools and application interfaces providing financial instrument data.
- Architect and implement microservice-based systems capable of handling millions of requests per day.
- Built Spring Boot microservices and reactive Spring WebFlux APIs using Project Reactor to improve throughput and reduce latency.
- Operationalized AI/ML models via REST APIs with multithreading and JVM tuning for high-performance real-time execution.
- Designed and administered Kong API gateway configurations, plugins and security policies; implemented JWT, OAuth2 and API key authentication.
- Automated data ingestion with Java services and Snowflake tasks/streams/procedures for near real-time availability.
- Maintained real-time messaging publish pipeline in Core Java to distribute ~6M daily financial products (avg 150–250/sec).
- Integrated front-end SPAs (Angular, React) with AWS backend services and implemented serverless delivery where applicable.
- Implemented centralized logging (ELK), monitoring and debugging practices; supported middleware on WebLogic and container platforms.
- Developed operational scripts in Python and shell, and maintained FTP/SFTP frameworks (Jscape) and B2B integrations (IBM Connect:Direct).
Senior Full-Stack Developer
State of Tennessee
Developed middleware platforms and API tools to provide statewide access to health/Medicaid information. Performed data analytics, integrated AI/LLM components for data validation and RAG workflows, and implemented cloud-based deployment and security controls.
JavaSpring BootSpring MVCSpring SecurityLDAPAngularJSNodeJSJavaScriptjQueryPythonSQLSnowflakeMongoDBAWSAzureKongJAASMavenJUnitMockito
- Developed middleware platforms, API tools and web tools supporting health/Medicaid services.
- Performed statistical and predictive analysis on large datasets using SQL, Python and AI techniques for trade surveillance and CDD workflows.
- Collaborated on fine-tuning LLMs and building agent-based systems for retrieval-augmented generation and intelligent data validation.
- Implemented Spring Boot applications, Spring controllers and Spring Security with LDAP integration.
- Worked with microservice discovery and client-side load balancing using Eureka and Ribbon.
- Optimized Snowflake queries from Java microservices and integrated NoSQL (MongoDB) data for analytics.
- Documented Kong configurations and operational guidelines and deployed e-commerce components on Azure (Azure App Services, Azure SQL).
Projects
AI-driven transaction monitoring and financial crime risk assessment
Lead Developer / Tech Lead
Led design and implementation of AI-driven systems using LLMs (OpenAI, Llama Index) and retrieval-augmented generation to enhance transaction monitoring, CDD and AML/KYC workflows. Integrated model inference with Java microservices and built pipelines for data ingestion, enrichment and policy-driven alerts.
JavaSpring BootREST APIsPythonOpenAILlama IndexSnowflakeMongoDBKongJWTOAuth2
- Operationalized LLM inference behind REST endpoints for automated data validation
- Implemented RAG pipelines for context-aware responses and decision support
- Built ingestion pipelines into Snowflake and normalized NoSQL data for analytics
- Applied API security (JWT/OAuth2) and gateway policies to control access and auditing
Real-time messaging and middleware platform (market data/product publish)
Senior Full-Stack Developer
Implemented a low-latency publish-subscribe messaging pipeline to distribute financial product data to front-office applications with high availability and throughput. Streamed millions of messages daily and tuned JVM and multithreading for predictable performance.
Core JavaSpring BootApache KafkaRabbitMQJMSTIBCO EMSProject ReactorSnowflake
- Designed and implemented the publish architecture to support ~6M messages/day
- Optimized multithreaded consumers and producers for sustained average publish rates of 150–250/sec
- Integrated with downstream microservices and ensured data consistency across streams
- Implemented monitoring and alerting for message throughput and latency
Kong API gateway & custom plugin development
API Platform Lead
Configured Kong as the enterprise API gateway and developed custom plugins to add advanced features like enhanced logging, request transformation and rate limiting, improving API behavior and security posture.
KongLua (plugins)JWTOAuth2Spring BootDockerKubernetes
- Defined routes, plugins and security policies in Kong
- Developed custom plugins to enable request transformation and advanced rate limiting
- Reduced API response latency and improved security controls
- Documented operational procedures for Kong administration
FTP/SFTP (Jscape) and B2B/EDI integrations
Integration Lead
Built and customized Jscape-based FTP/SFTP framework for secure partner file exchanges and implemented B2B integrations using OpenText BizManager and IBM Sterling/Connect:Direct for mission-critical data transfers.
JscapeOpenText BizManagerIBM Sterling File GatewayIBM Connect:DirectSFTPAS2PerlShell Scripting
- Customized Jscape workflows and security (encryption, authentication)
- Managed trading partner configurations and protocol setups
- Automated file ingestion and processing with Perl and shell scripts
- Implemented monitoring and error handling for 24/7 operations