1 to 25 of 56 Kafka Jobs in Northern Ireland

Hive . Proven ability to write and optimize complex Spark jobs. Real-Time Streaming: Practical experience designing and implementing event-driven systems using Apache Kafka , including topic configuration, producer/consumer APIs, and stream processing. Database Concepts: Exceptional understanding of database concepts. Strong proficiency in SQL, database design, indexing ...

17+ preferred.*** **Rest/GraphQL APIs using Spring Boot or any similar.*** **Strong SQL experience with any RDBMS.*** Working experience with messaging technologies like Kafka or similar.* **Must have experience with Docker and Kubernetes deployment.*** **Must have experience with working on workflow engines like Camunda, Activiti, JBPM or similar. ...

programmes, including holding a technical position when other suppliers hold a different one Desirable • UK public sector, or another regulated and security-conscious environment • Kafka and change-data-capture tooling such as Debezium; stream processing • Legacy modernisation patterns — strangler fig, operational data layers, dual running and phased cutover • Domain ...

programmes, including holding a technical position when other suppliers hold a different one Desirable • UK public sector, or another regulated and security-conscious environment • Kafka and change-data-capture tooling such as Debezium; stream processing • Legacy modernisation patterns — strangler fig, operational data layers, dual running and phased cutover • Domain ...

programmes, including holding a technical position when other suppliers hold a different one Desirable • UK public sector, or another regulated and security-conscious environment • Kafka and change-data-capture tooling such as Debezium; stream processing • Legacy modernisation patterns — strangler fig, operational data layers, dual running and phased cutover • Domain ...

17+ preferred.*** **Rest/GraphQL APIs using Spring Boot or any similar.*** **Strong SQL experience with any RDBMS.*** Working experience with messaging technologies like Kafka or similar.* Strong problem-solving and analytical abilities, with keen attention to detail.* Agile experience, with a focus on backlog execution, dependencies, continuous improvement ...

observability platforms Desirable: OpenShift/Kubernetes Cloud technologies (Google Cloud Platform, Azure, AWS) Microservices and distributed architectures Event-driven architectures and messaging platforms (Kafka, MQ) Elastic Stack (ELK) Grafana Google Cloud Observability (GCO) Python, Shell, or PowerShell scripting CI/CD tooling and deployment automation Infrastructure as Code concepts ...

HaveExperience with NVIDIA Omniverse, OpenUSD, or Unreal Engine.Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms.Experience with Kafka, Kinesis, or Pub/Sub.Exposure to edge computing technologies such as NVIDIA Jetson.Knowledge of robotics, ROS, industrial protocols, OPC-UA, or Modbus.Experience building dashboards ...

NVIDIA Omniverse, OpenUSD, or Unreal Engine. Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms. Experience with Kafka, Kinesis, or Pub/Sub. Exposure to edge computing technologies such as NVIDIA Jetson. Knowledge of robotics, ROS, industrial protocols, OPC-UA, or Modbus. ...

what they ship: every service running in production is the direct responsibility of the team behind it. ️ Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like working together in multidisciplinary ...

cloud transformation. What You Will Do/Key Responsibilities Middleware & Application Architecture: Architect, operate, and support the migration of application platforms—including Messaging (Kafka, RedPanda, MQ, Pub/Sub), Service Discovery (Consul, Vault), and Data Distribution (SFTP/JScape)—to Google Cloud Platform. Manage cluster lifecycles, data replication, RBAC ...

driven architectures. Experience with some of EKS, Lambda, EventBridge, Step Functions, S3, DynamoDB, AWS Glue, Snowflake, Terraform and Transfer Family. Knowledge of streaming technologies (Kafka, Kinesis) and API integrations, and hands-on experience with monitoring tools (e.g. Grafana) and observability practices. Proficient with Terraform or CDK (infrastructure-as-code ...

lakehouse architectures. Drive integration of AI/GenAI capabilities, including LLMs, RAG frameworks, AI Agents, and intelligent automation solutions. Architect event-driven systems using Kafka, Solace, and distributed caching technologies. Establish engineering standards, SDLC best practices, observability, resiliency, and security controls. Collaborate with Architecture, Product, Data Engineering, Infrastructure, Security ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

robust code with a pragmatic approach to problem-solving. Data & Messaging Proficiency: Experience working with SQL databases and a solid knowledge of message queues (Kafka, SQS) and asynchronous processing patterns. Effective Communication: Excellent written and verbal communication skills, including the ability to describe technical designs to both technical ...

workflows. Nice to Haves: Web3 Infrastructure: Specific experience in blockchain or decentralised finance (DeFi). Event-Driven Systems: Knowledge of message brokers such as Kafka or NATS. Chaos Engineering: Experience with resilience testing and fault-injection practices. Edge Computing: Familiarity with CDN optimisation and edge-based service delivery. Ecosystem ...

workflows. Nice to Haves: Web3 Infrastructure: Specific experience in blockchain or decentralised finance (DeFi). Event-Driven Systems: Knowledge of message brokers such as Kafka or NATS. Chaos Engineering: Experience with resilience testing and fault-injection practices. Edge Computing: Familiarity with CDN optimisation and edge-based service delivery. Ecosystem ...