Java Developers + Kafka Architect

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MidOn-site·DublinFull-time

#467567·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

SecurityJavaAPI (Application Programming Interface)OperationsSpringmaintenanceOWASPMicrosoft PlatformSpring Boot Apache Kafka

Podsumowanie oferty

Build and operate a GenAI-powered security platform that identifies software vulnerabilities, tracks remediation, and reports on vulnerability trends. The role focuses on Java, Spring Boot microservices, Apache Kafka, and integrations with LLMs and agentic workflows.

Wymagania

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.

Senior Java Engineers:

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.

Kafka Architect:

Deep production experience with Apache Kafka, including topic design and partitioning strategies, consumer group management, exactly-once semantics, Schema Registry, Kafka Streams, Kafka Connect, and 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.

Obowiązki

Platform Development:

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 connecting 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.

Event-Driven Architecture & Kafka:

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.

Platform Operations:

Contribute to production support, monitoring, alerting, and incident management.
Support ongoing platform enhancements and continuous improvement initiatives.
Ensure platform reliability, security, and operational excellence.

emagine

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