1 to 25 of 331 Remote Kafka Jobs in England

Docker, Kubernetes) Familiarity with front-end frameworks (React, Angular, or Vue.js) Experience with API security and OAuth2 authentication mechanisms Understanding of message queues (RabbitMQ, Kafka) Active contributor to communities of practice Triad's Commitment to You Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative 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 ❯

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 ❯

Required) Backend Java v17 Spring/Spring Boot Front End Angular/HTML AWS Cloud services Local Stack Alfresco/Activiti/Camunda Apache Kafka MongoDB/MySQL or other RDBS Kubernetes/Docker Micro-services Architecture Security and PKI KeyCloak XML If you hold current SC Clearance and More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

familiar with, and able to install, configure and manage various persistence technologies, including database technologies (NoSQL/SQL) and broker/queuing systems (e.g. Kafka, SQS), including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and More ❯

delivery of mission-critical APIs. The product is heavily API-focused, with minimal UI involvement. Tech Stack: Back-End: Kotlin, Spring Cloud, JUnit, Swagger, Kafka, PostgreSQL (AWS RDS), Redis (AWS), DynamoDB, Docker, AWS Front-End: TypeScript, React, Vite QA Automation: RestAssured, MockServer, JMeter (Java DSL), Playwright, JUnit/TestNG More ❯

with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS More ❯

maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

development experience Experience of designing distributed systems, microservices, micro-frontend UIs Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of following TDD and passionate about clean code principles Proficiency in programming in Java More ❯

with DevOps principles and tooling such as Infrastructure as Code (Terraform) and CI/CD (GitHub Actions, Jenkins) Knowledge of stream processing technologies like Kafka would be useful Experience working with ITSM systems like JSM, Zendesk or ServiceNow Experience building/maintaining automated incident management workflows Experience developing with More ❯

be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance. Infrastructure Automation: Implement Infrastructure as Code More ❯

written and spoken English (B2 level or higher). Nice to Have: Experience with Argo CD and Argo Rollouts. Familiarity with technologies such as Kafka, Redis, Nginx, Apache HTTP Server, OpenVPN, and Nats. Knowledge of logging tools (Kibana, FluentD, Elasticsearch). Expertise in configuring, managing, and optimizing large PostgreSQL More ❯

Web APIs, SQL, and ORM technologies (Linq2DB, Entity Framework) Experience with Agile methodologies, CI/CD pipelines, and cloud platforms Familiarity with RabbitMQ/Kafka, REST, CQRS, and encryption principles Comfortable using Git, DevOps, and Linux (advantageous) What We Offer: A supportive and innovative work environment Hybrid working model More ❯

. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯

. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯

with Kubernetes for container orchestration · Experience with Docker for containerisation · Experience with CosmosDb · Redis caching implementation experience · Elasticsearch design and optimisation experience · Experience with Kafka or other event streaming platforms · Microservices architecture knowledge · Micro-frontend architecture knowledge · React, JavaScript/TypeScript, HTML and CSS · Azure cloud services experience · Experience More ❯

including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data More ❯

required but are highly desirable: Experience working with modern CI/CD tooling such as GitHub Actions or Azure DevOps Pipelines. Experience working with Kafka/Azure Service Bus/Event Grid. Exposure to Power Platform tools such as Power Automate and Power Apps. Exposure to data migration tools More ❯

required but are highly desirable: Experience working with modern CI/CD tooling such as GitHub Actions or Azure DevOps Pipelines. Experience working with Kafka/Azure Service Bus/Event Grid. Exposure to Power Platform tools such as Power Automate and Power Apps. Exposure to data migration tools More ❯