8 of 8 Permanent JMS Jobs

Qualification: Experience in working in a containerized environment Scrum Master certification(s) Azure Experience Technologies and Tools: Java, Jenkins, ANT, Ansible, Spring Framework, Hibernate, JMS, HTML5, CSS, XML, JSON, Oracle, MS SQL, MySQL, Unix/Linux, Windows, Oracle ...

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 ...

Java 17) in production environments Deep understanding of asynchronous and reactive programming models Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.) Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience Experience building and testing production-grade systems using TDD/ ...

Java 17) in production environments Deep understanding of asynchronous and reactive programming models Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.) Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience Experience building and testing production-grade systems using TDD/ ...

with GitHub and CI/CD tools (e.g. Jenkins, Azure DevOps). Familiarity with enterprise systems integration (e.g. Salesforce, Moodle) and protocols (REST, SOAP, JMS). Understanding of API security standards (OAuth 2.0, SAML, encryption). UAL is a world-class University shaping the creative industries worldwide, with staff having ...

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 ...

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 ...