Java Developers + Kafka Architect
Emagine Consulting Dublin, IrlandeJava Developers + Kafka Architect
Java Developers + Kafka Architect
525pd Euros
5 days on site in Dublin
Initial 6-12 month engagement
emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions.
We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine.
We are seeking experienced Senior Java Engineers and a Kafka Architect to join a high-profile programme developing a next-generation GenAI-powered security platform. The platform will leverage Large Language Models (LLMs), Apache Kafka, and Spring Boot microservices to identify software vulnerabilities, route findings to development teams, validate remediation activities, and provide comprehensive reporting across the vulnerability lifecycle.
The OpportunityYou'll join a highly skilled engineering team responsible for building and operating a platform that:
Uses GenAI and LLM technology to identify vulnerabilities within software packages and applications.
Delivers findings to development teams via APIs and event-driven integrations.
Tracks remediation activities and verifies that fixes have successfully resolved vulnerabilities.
Provides operational and management reporting on vulnerability trends and remediation effectiveness.
Supports agentic AI workflows, including token consumption and cost monitoring.
Operates as a production service with ongoing support, monitoring, maintenance, and incident response responsibilities.
Design, develop, and enhance cloud-native Spring Boot microservices.
Build and maintain Kafka-based event-driven solutions for processing security findings.
Develop APIs and integrations that connect security tooling, developers, and reporting services.
Build LLM integrations and agentic workflows to automate vulnerability analysis and remediation processes.
Implement tracking and reporting capabilities covering identified, remediated, and outstanding vulnerabilities.
Develop token usage and AI cost monitoring capabilities.
Design and optimise Kafka topics, partitions, consumer groups, retention policies, and schema management.
Establish event streaming standards and best practices across the platform.
Ensure scalability, reliability, resilience, and performance of Kafka services.
Troubleshoot and resolve throughput, latency, and consumer lag issues.
Provide guidance on architecture decisions, messaging patterns, and event design.
Contribute to production support, monitoring, alerting, and incident management.
Support ongoing platform enhancements and continuous improvement initiatives.
Ensure platform reliability, security, and operational excellence.
Strong commercial experience with Java.
Extensive hands-on experience developing applications using Spring Boot.
Experience building and integrating RESTful APIs.
Strong understanding of Apache Kafka and event-driven architecture.
Experience designing and consuming messaging-based integrations.
Strong problem-solving ability with a collaborative and inquisitive mindset.
Comfortable working within agile, highly technical engineering teams.
Experience developing distributed microservices architectures.
Understanding of LLMs, GenAI technologies, or agentic workflow design.
Knowledge of prompt orchestration, semantics, model interactions, and token management.
Experience building scalable backend services and reporting APIs.
Deep production experience with Apache Kafka, including:
Topic design and partitioning strategies
Consumer group management
Exactly-once semantics
Schema Registry
Kafka Streams
Kafka Connect
Failure handling and recovery strategies
Experience running Kafka at scale across self-managed, Confluent, or Amazon MSK environments.
Proven track record influencing architecture and engineering standards.
Ability to mentor engineers and drive best practices across distributed teams.
Strong understanding of enterprise event-driven architecture patterns.
At emagine, we are committed to building an international and diverse team by embracing our different backgrounds.
If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential.
“emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”