6 of 6 JMS Jobs

distributed systems Strong problem-solving skills and attention to detail Desirable Skills Experience with Spring/Spring Boot Knowledge of messaging technologies (e.g. Kafka, JMS, or similar) Exposure to SQL and relational databases Familiarity with cloud platforms and containerisation (Docker, Kubernetes) Experience working in Agile/Scrum environments Working Environment ...

including multi-threading, collections, and concurrency. FIC Trading Systems: Experience developing, maintaining, or supporting electronic trading platforms. Messaging Protocols: Familiarity with FIX protocol, MQ, JMS, or similar messaging solutions. API Development: Experience with RESTful and/or SOAP web services. Low Latency Programming: Understanding of techniques for minimizing latency ...

working with XML, JSON, and XSD , and performing database operations using Oracle/SQL . The ideal candidate should have working knowledge of Java, JMS, scripting , and Linux/Unix environments , along with experience in version control (GIT/SVN) and CI/CD practices . Strong troubleshooting, performance tuning ...

quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge solutions, and see your architecture drive ...

quality-first mindset Bonus Points: Azure Databricks, Data Platforms experience Enterprise system integration (Salesforce, SAP, Workday, ERP) Containerization (Docker, Kubernetes) Streaming technologies (Kafka, JMS) Why This Role? Challenging, high-impact work with a forward-thinking UK company. Shape the technical strategy, build cutting-edge solutions, and see your architecture drive ...

node strategy: Queue Processors vs. Job Schedulers, background processing, caching. Integration architecture: REST/JSON, SOAP (if needed), OAuth2/SAML, eventing (Kafka/JMS), idempotency, pagination, circuit breaker and retry patterns. Data design: enterprise data model, data pages (scope, refresh), reference data strategy, data obfuscation and masking for PII. … design mastery: REST with OAuth2 (client credentials, auth code), error handling frameworks, request/response mapping, timeouts, retries, backoff. Event-driven patterns: Kafka/JMS producers/consumers, correlation IDs, exactly-once/at-least-once semantics, dead-letter handling. Performance engineering: PDC triage, PAL reading, DB indexing considerations, cache ...