23 of 23 Remote Kafka Jobs in Slough

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

in database design, management, and optimization. GitLab: Strong knowledge of version control systems and CI/CD pipelines. REST API Services: Proficient in designing and consuming RESTful web services. Kafka: Skilled in implementing real-time data pipelines and messaging systems. Splunk: Expertise in monitoring, logging, and troubleshooting application performance. Team Leadership: Proven experience in leading, mentoring, and managing development More ❯

users. Ensure your code as unit test coverage. Essential Skills C#, .NET 6.0. ReactJS, HMTL, CSS, MaterialUI. Gitflow source code management. Event driven architecture – experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Cloud native development (AWS, Azure, GCP) CI/CD. Typescript NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3 More ❯

clear communication skills, with the ability to work with non-technical and technical stakeholders. Comfortable leading Engineers in the following stack: • Typescript/Next.js • Java 11 - 17 • PostgreSQL/Kafka • Cucumber/Cypress/Playwright • AWS/Kubernetes/Terraform Benefits: • 10% bonus • Life assurance • Pension scheme • 25 days annual leave (extra buy-in scheme) + bank holidays • Cycle More ❯

re not just guiding but also rolling up your sleeves alongside the team. 🔧 Tech Stack & Practices You should bring solid hands-on experience with: Java, Spring, Kubernetes, Docker, Postgres, Kafka CI/CD pipelines with fully automated deployments and testing TDD, BDD, and modern coding standards Microservices architecture – understanding both its power and its trade-offs Scaling, reliability, observability More ❯

a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City More ❯

Realm/CoreData). An advocate of clean coding practices . Tech they use (and love): iOS | Android | Swift | Kotlin | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for the team: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A say in the products More ❯

clean coding practices . Additional knowledge of Swift is beneficial. Tech the team use (and love): Android | iOS | Kotlin | Swift | .Net Core | Node.js | Java | Scala | Python | Docker | Kubernetes | AWS | Kafka | MongoDB Why You’ll Love Working for our partner: 🌟 A culture built on trust, creativity, and inclusion. 🌟 Real flexibility – hybrid working that actually works. 🌟 A say in the products More ❯

and transformation tools (e.g., dbt, custom SQL models, etc). Strong ability to debug and optimize slow or failing data pipelines and queries Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable analytics solutions. Experience designing and integrating with APIs and handling system integrations, including data migrations and networked data sources. Practical experience with cloud platforms More ❯

preferred). Nice to Have Experience with TDD, BDD, or other testing methodologies. Familiarity with PostgreSQL, Snowflake, and data pipeline frameworks (Airflow, etc.). Experience with event streaming platforms (Kafka). Exposure to web frameworks (Django, Flask, FastAPI). Knowledge of Java. Domain knowledge in financial markets: market data, order management, algo trading, systems integration, compliance, etc. Benefits & Perks More ❯

distributed systems in a collaborative environment, contributing to the design and development of mission-critical applications. The ideal candidate will bring strong expertise in Java (17+) , Spring Boot , and Kafka (or similar event-driven messaging technologies) , alongside a solid understanding of modern software engineering practices. Key Responsibilities Design, develop, and maintain high-performance Java applications using Java 17+ and … Spring Boot. Build and optimise event-driven, distributed systems leveraging Kafka (or similar streaming platforms). Work closely with architects and product teams to design scalable, resilient solutions. Contribute to all phases of the development lifecycle, including requirements analysis, technical design, implementation, testing, deployment, and support. Ensure code quality, maintainability, and best practices through reviews, automated testing, and CI … collaborate effectively with cross-functional teams. Required Skills & Experience Strong commercial experience with Java 17+ . Deep knowledge of Spring Boot and microservice architecture. Proven hands-on experience with Kafka (or RabbitMQ, Pulsar, or similar). Strong understanding of REST APIs and integration patterns. Experience with cloud environments (AWS, Azure, or GCP). Good knowledge of CI/CD More ❯

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly More ❯

contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have Experience with OpenTelemetry , Prometheus, Grafana More ❯

Python and SQL Proven experience with AWS , Snowflake , and Airflow (or similar orchestration tools) Hands-on experience with Spark and dbt for scalable data processing Experience in Terraform and Kafka Track record of leading or mentoring data engineering teams Background in a startup or scale-up environment, comfortable working end-to-end. Ideally a Master’s degree BENEFITS The More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some exposure to .NET-based systems or application integration. Follow our company page, OTA Recruitment Limited, on LinkedIn to stay More ❯

cutting-edge technology. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines for market, trading, and client data. Work with technologies such as ClickHouse, Snowflake, Postgres, and Kafka to manage large volumes of financial data efficiently. Collaborate closely with Quant Analysts, Traders, and Risk Managers to deliver clean, structured datasets for modeling, monitoring, and reporting. Develop data … funds. Exposure to Quantitative Research workflows, such as alpha modeling or backtesting. Experience with DevOps tools like Kubernetes, Terraform, and Airflow. Familiarity with real-time data streaming technologies (e.g., Kafka, Redis). Prior experience managing high-frequency or time-series data. Understanding of CFD brokerage infrastructure, including MT4/MT5, liquidity bridges, and trade reporting exports. Why Join? Join More ❯

building asynchronous, event-driven systems using modern Java technologies. Design and build scalable, high-availability systems processing millions of real-time transactions Work with Java 17+, Spring WebFlux, AKKA, Kafka, and more Write clean, testable code using TDD and BDD Contribute to architectural decisions in a fast-evolving codebase Collaborate within Agile teams (Kanban/Scrum) 🧠 What You Bring … problems. Strong hands-on experience with Java 11+ (ideally Java 17) Solid knowledge of Reactive Programming (e.g., Spring WebFlux, AKKA) Experience with event-driven architecture, real-time messaging systems (Kafka, JMS) Familiarity with asynchronous request handling, scalability, and system resilience Agile mindset, with TDD/BDD and CI/CD experience Bonus: Background in Banking/Payments is helpful More ❯

building asynchronous, event-driven systems using modern Java technologies. Design and build scalable, high-availability systems processing millions of real-time transactions Work with Java 17+, Spring WebFlux, AKKA, Kafka, and more Write clean, testable code using TDD and BDD Contribute to architectural decisions in a fast-evolving codebase Collaborate within Agile teams (Kanban/Scrum) 🧠 What You Bring … problems. Strong hands-on experience with Java 11+ (ideally Java 17) Solid knowledge of Reactive Programming (e.g., Spring WebFlux, AKKA) Experience with event-driven architecture, real-time messaging systems (Kafka, JMS) Familiarity with asynchronous request handling, scalability, and system resilience Agile mindset, with TDD/BDD and CI/CD experience Bonus: Background in Banking/Payments is helpful More ❯

the operating platforms for energy retailers globally. Our tech stack is very fluid, but broadly you can find yourself working with: Typescript, Node JS, Terraform, Gitactions, Kubernetes, Docker, AWS, Kafka, GraphQL Responsibilities Contribute to the design, development, and maintenance of scalable backend services using TypeScript . Help build event-driven systems that process data reliably and in real-time. … inclusive team culture. About You Experience developing backend applications — ideally using TypeScript, or a strong interest in learning it. Some familiarity with event-driven systems and message queues (e.g. Kafka, SQS). Hands-on experience with cloud technologies — AWS and serverless a plus. Comfortable working with databases (SQL or NoSQL) and understanding trade-offs. A collaborative team member who More ❯

pipelines Leading initiatives in infrastructure-as-code, CI/CD, and platform monitoring Enabling robust security practices across DevOps delivery teams Core Skills & Experience Strong experience with AWS MSK (Kafka) and secure AWS environments Proven production experience with Kubernetes, Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals More ❯

responsibilities Lead and mentor a small team of data engineers, fostering a collaborative and high performance culture Design, build, and maintain scalable data pipelines and streaming solutions using Spark, Kafka, and Databricks Write high quality, efficient, and maintainable code in Python or Scala Collaborate with stakeholders to understand requirements and deliver reliable, high impact data solutions Ensure best practices … development of team members, providing coaching and feedback Key requirements Proven background in data engineering, with strong knowledge of Python or Scala Handson experience with Databricks, Apache Spark, and Kafka Strong understanding of distributed data processing and data pipeline design Experience in building and optimising large scale data platforms in cloud environments Excellent problem-solving skills and a strong More ❯