1 to 25 of 47 Kafka Jobs in West London

critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation , or AWS CDK . Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems). #J-18808-Ljbffr More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

knowledge of cloud services like AWS. Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices. Experience with Kafka, RabbitMQ, or similar technologies. Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks. Knowledge of DevOps principles and practices. Strong analytical and problem More ❯

Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience with RPC, REST, gRPC Experience/knowledge of Azure and Azure Resources or other SAAS/PAAS platforms More ❯

stack Server-side: Java 17, Maven, Spring Boot, JUnit. Client-Side: Typescript, Next.js, React and various React ecosystem tools andlibraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL,Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, andtools and be happy to More ❯

handling of sensitive data (e.g. GDPR) Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing More ❯

implementation and administration of the infrastructure for the Video On Demand (VOD) content. The infrastructure consists of many technology stacks, i.e., AWS, GCP, Cassandra, Kafka, etc. which provides a great opportunity to learn and develop code to implement and administrate the technologies What You'll Do Be the Lead More ❯

Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum More ❯

resiliency, and security practices Solid understanding of key technologies such as cloud, AI/ML, or mobile platforms Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous More ❯

high standard and quality of products we create. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy More ❯

a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning More ❯

knowledge of Docker (Kubernetes experience a plus) Experience shipping SaaS platforms end-to-end Strong communication and debugging skills Bonus if youve worked with: Kafka, GraphQL, GitHub Actions, Jenkins, or Golang. ?? Why Valent? Mission-led : Build tools that protect global information integrity. High impact : Direct involvement in a vital More ❯

high standard and quality of products we create. Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy More ❯

Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience More ❯

JUnit, Mockito CI/CD: Experience with Jenkins or similar pipelines Collaboration: Agile working with cross-functional teams Frontend experience with React & TypeScript Messaging: Kafka Build tools: Gradle API Design: Swagger/OpenAPI This role is ideal for engineers looking to build on their SC clearance and gain NPPV3 More ❯

Bring Deep expertise in .NET/C#, AWS, microservices, and distributed systems. Strong leadership and mentoring skills. Proficiency with messaging systems (SNS/SQS, Kafka), CI/CD, and container orchestration (EKS/Kubernetes). Passion for craftsmanship and engineering excellence. Bonus if you have experience in healthcare/ More ❯

experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and More ❯

and financial goals Shape the future of AI - influencing architecture, research, and cross-team learning. SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g. LLM, NLP) Clear passion for AI – side projects, research or professional experience Excellent communication More ❯

meetings and supporting colleagues and co-workers Estimation of work Write and run SQL queries to inspect backend-consumed data Our technology stack includes Kafka, Kubernetes, Docker, Clickhouse, Git, and DevOps Experience & Qualities The ideal candidate wants to work on both front-end and back-end projects. Keen to More ❯

documentation. Familiarity with RESTful microservices & modern DevOps workflows. Skills in Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, IaC (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, and open-source or community contributions are desirable. Package Snapshot £50–55k salary + up to 10% bonus More ❯

g, OpenSearch ) Databases ( noSql – couchbase , Cassandra, RDS , elasticache , redis ) System Administration (Patching/Upgrading/RCA/Performance Optimisation) Kubernetes (EKS , GKS ) Message queue ( kafka ) Team overview Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We More ❯

MuleSoft or Power Automate Deep knowledge of SQL, REST, JSON, XML Experience in Agile, API security, and cloud integrations Nice to Have MuleSoft CloudHub Kafka or similar pub-sub systems Finance industry experience Generous leave + private medical Enhanced parental policies Pension & bonuses Want to help shape smarter systems More ❯

working with customer data platforms such as Salesforce or similar Excellent communication and stakeholder engagement skills Desirable: Exposure to big data tools (Hadoop, Spark, Kafka) Knowledge of integrating ML models and AI into data platforms Industry certifications (e.g. CDMP, AWS, Azure) Experience with data visualisation tools (Power BI, Tableau More ❯

working with customer data platforms such as Salesforce or similar Excellent communication and stakeholder engagement skills Desirable: Exposure to big data tools (Hadoop, Spark, Kafka) Knowledge of integrating ML models and AI into data platforms Industry certifications (e.g. CDMP, AWS, Azure) Experience with data visualisation tools (Power BI, Tableau More ❯

experience with Azure-based development; AWS knowledge is a plus Familiarity with integration tools like Postman, API Management, and cloud messaging (e.g., Service Bus, Kafka) Solid grasp of testing strategies, design principles (SOLID, DRY), and microservice architecture Proactive mindset with excellent communication and time-management skills Why You'll More ❯