1 to 25 of 416 Permanent Kafka Jobs in the UK

architectures. Strong knowledge of RESTful API design and integration. Experience with Hibernate, JPA, and ORM frameworks. Hands-on experience with messaging technologies such as Kafka or RabbitMQ. Experience with cloud platforms including AWS, Azure, or GCP. Strong experience with Docker and Kubernetes. Proficiency with relational and NoSQL databases such ...

Experience building cloud-native solutions using Kubernetes/EKS, Docker, and Infrastructure-as-Code. Experience with event streaming and messaging platforms such as Kafka, MSK, or EventBridge. Experience with caching technologies including Redis or Valkey. Experience with NoSQL databases such as MongoDB or DynamoDB. Experience working with C#/ ...

code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of event-driven design and message brokers ( e.g. Kafka, RabbitMQ) Understanding of agentic AI capabilities and how they can complement workflow automation Experience contributing to open-source Camunda extensions Holds UK security clearance What ...

skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling and infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare ...

their output, and maintain quality over AI‐generated work product. Experience building event‐driven and distributed systems , including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices : version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality ...

Cloud, Spring Security, and Spring Data. Proven experience in designing and building microservices and highly distributed systems. Deep understanding of architectural and scaling patterns: Kafka and scaling, message brokers, guaranteeing message order, and idempotency. Saga Pattern: practical application of distributed transactions for eventual consistency across microservices. CQRS: understanding ...

with monitoring tools (e.g., Prometheus, Grafana, ELK, Splunk) Strong debugging, troubleshooting, and analytical skills Desirable/Nice to Have Experience with event-driven architectures (Kafka, RabbitMQ) Knowledge of database technologies (SQL and NoSQL) Certification in ITIL Experience in high-availability, enterprise-scale systems Certifications in cloud or Agile methodologies ...

tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including ...

Understanding of, and advocacy for, Agentic AI/Context Engineering Desirable: Engineering : Java, Vue, Angular, .Net Core Tools/Technologies/Infra : Docker, Kubernetes, Kafka, Azure, GCP, NoSQL, DNS Design : Serverless, cloud-native/PaaS, event driven, pub/sub, real-time/websockets, architectural design records (ADRs) SDLC ...

Infrastructure AWS (preferred) Azure or GCP Docker or Podman Kubernetes Software Engineering Microservices Serverless architectures REST APIs and/or gRPC Event-driven systems (Kafka, MQTT) DevSecOps Git CI/CD (GitLab or similar) Infrastructure as Code (Terraform, Ansible or Puppet) Linux and shell scripting Just as importantly ...

public cloud platforms, preferably AWS, alongside cloud-native, microservices, and event-driven architectures. Proven experience with CI/CD pipelines, SQL and NoSQL databases, Kafka, Java Streaming, and modern software engineering practices. Familiarity with Infrastructure as Code (for example, CloudFormation), distributed systems, secure application design, and scalable cloud deployments. ...

testing and version control. Data Engineering Stack Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL. Orchestration Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect. Data Quality and Lineage Familiarity ...

understanding of microservices architecture. *Experience with Spring Boot, Spring Data, GraphQL JPA, and Hibernate. *Good knowledge of message brokers (particularly AWS SQS, SNS, or Kafka). *Solid experience working with RESTful APIs, event-driven systems, and distributed architectures. Containerisation & DevOps *Hands-on experience with Docker in production environments. *Familiarity ...

architectures. Cloud Platforms Deep knowledge of AWS/GCP/Azure services. Databases Proficiency with PostgreSQL, Redis, MongoDB, or similar. Messaging Systems Experience with Kafka, RabbitMQ, or event-streaming platforms. CI/CD Strong understanding of automated testing, deployment pipelines, and observability. Leadership Proven ability to lead teams, influence ...

banking or financial services, particularly front‐office systems Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerisation technologies (Docker, Kubernetes) Experience with Kafka or similar messaging/event platforms Understanding of distributed systems design and immutable event patterns Experience with observability, monitoring, and incident response tools Exposure ...

pipeline orchestration tools Containerisation (Docker, EKS, AKS, Kubernetes) Proficiency in CI/CD principles and tools Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL) Infrastructure as Code (Terraform, Ansible) Air-gapped development Automation Client/stakeholder management Public sector domain understanding Technical architecture Experience: You will have ...

systems, storage, networking). Global financial services and regulatory/compliance considerations relevant to workload deployment. Database and messaging technologies such as MySQL, Cassandra, Kafka, CockroachDB, or Oracle. What's in it for you? You'll be building at the leading edge of AI‐assisted software engineering ...

industry experience. Experience with high‐volume, low‐latency SaaS systems. Experience with distributed and event‐driven architectures (Azure Service Bus, Event Hubs, Event Grid, Kafka). Experience building multi‐tenant architectures, including tenant provisioning, routing and per‐tenant configuration/quota management. Experience with Azure ingress and global routing ...

specific testing frameworks, and container orchestration platforms like OpenShift. Event Streaming & Messaging (AI Data Pipelines): Working with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real‐time data ingestion for Gen AI model training, fine‐tuning, and inference. Containerization (AI Model Deployment): Hands ...

highly experienced Platform Architect to lead the architecture, governance, modernization, and operational excellence of enterprise‐scale Data and Integration Platforms across Snowflake, Confluent Cloud Kafka, Azure Cloud, GitHub Actions CI/CD, Kubernetes, Data Mesh, and broader integration ecosystems. The ideal candidate will combine deep technical expertise with strategic … event‐driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/DR, and cluster strategy. Establish enterprise integration patterns using Kafka, Kafka Connect, APIs, and streaming architectures. Define and implement CI/CD standards using GitHub Actions. Drive Infrastructure‐as‐Code, automation, release governance ...

background in designing scalable, high‐performance systems. Desirable Experience in the gaming industry or large‐scale interactive systems. Familiarity with messaging systems such as Kafka, RabbitMQ or similar Proficiency with monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Why Join ...

cloud environments, preferably AWS Experience designing cloud-native, microservices, and event-driven architectures Strong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java Streaming Familiarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practices Bonus Points For Experience using GitLab ...

strategies, load balancing, and resource scheduling algorithms Experience building high‐throughput, low‐latency systems with sub‐100ms response time requirements Familiarity with message queues (Kafka, RabbitMQ), databases (PostgreSQL, Redis), and event‐driven architectures Knowledge of GPU computing, model serving optimizations (batching, quantization, multi‐tenancy), and resource allocation Experience with ...

Airflow, AWS Step Functions or Apache NiFi. Cloud platform experience across AWS, Azure and/or GCP. Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services. Strong understanding of SQL and NoSQL databases. Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch ...

experience is highly desirable but not mandatory Tools you\’ll use (depending on role) *Server*: Kotlin, Java, Spring Boot, http4k, ktor, PostgreSQL, MongoDB, Apache Kafka, Docker, Kubernetes, Helm, Tekton, Harness *Infra:* OpenShift, Tekton, Harness, Mac or PC - It’s up to you. Access to time-saving AI tools such ...