826 to 850 of 1,078 Kafka Jobs

re Looking For ✅ 3+ years’ experience leading high-performing engineering teams (ideally with senior or staff-level engineers). ✅ Strong full-stack or backend background – ideally with Node.js, React, Kafka or similar. ✅ A balance of strategic thinking and bias for action – someone who can move things forward, not overthink them. ✅ Excellent stakeholder management – you know how to align technical More ❯

re Looking For ✅ 3+ years’ experience leading high-performing engineering teams (ideally with senior or staff-level engineers). ✅ Strong full-stack or backend background – ideally with Node.js, React, Kafka or similar. ✅ A balance of strategic thinking and bias for action – someone who can move things forward, not overthink them. ✅ Excellent stakeholder management – you know how to align technical More ❯

re Looking For ✅ 3+ years’ experience leading high-performing engineering teams (ideally with senior or staff-level engineers). ✅ Strong full-stack or backend background – ideally with Node.js, React, Kafka or similar. ✅ A balance of strategic thinking and bias for action – someone who can move things forward, not overthink them. ✅ Excellent stakeholder management – you know how to align technical More ❯

/architecture Proven track record leading multi-geography, multi-vendor technical collaborations Deep understanding of cloud SaaS architectures and insurance/health-tech domains Hands-on technical credibility (Java, Kafka, AWS) combined with executive presence and negotiation skills Demonstrable expertise in the use of appropriate tools/technologies for the design, development, build, testing & deployment of a wide range More ❯

to create and optimize data models, indexes, stored procedures, access, and scalability. Non-Relational Data Systems: Experience of working with NoSQL, streaming, graph, timeseries, or edge databases including MongoDB, Kafka, JanusGraph, and InfluxDB. Understanding of binary encoding and compression approaches for complex data structure storage and retrieval. Data Strategy: Production experience delivering aligned data models that enable resource isolation More ❯

to create and optimize data models, indexes, stored procedures, access, and scalability. Non-Relational Data Systems: Experience of working with NoSQL, streaming, graph, timeseries, or edge databases including MongoDB, Kafka, JanusGraph, and InfluxDB. Understanding of binary encoding and compression approaches for complex data structure storage and retrieval. Data Strategy: Production experience delivering aligned data models that enable resource isolation More ❯

migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and More ❯

to build the financial ecosystem of the future. We're evolving towards: A Cloud-Native, DevOps-First Culture - Moving towards a fully cloud-hosted, automated platform built with Kubernetes, Kafka, and Infrastructure as Code (IaC). A Real-Time Financial Ecosystem - Shifting from data at rest to data in motion, embracing event-driven architecture to power the real-time … rewrite-our goal is to transition to a more scalable, cloud-native architecture while maintaining stability. As a Senior Software Engineer, you'll be working with .NET, Azure, and Kafka, ensuring that applications are optimised for cloud deployment and aligned with modern development practices. You'll assess the right .NET versioning strategy, manage dependency transitions (e.g., moving from MSMQ … to Kafka), and ensure smooth migration of libraries and frameworks. Along with modernisation, you'll also be working on new features rollout in the existing system or new projects. What You'll Be Doing: Coaching and mentoring a team of 2-4 engineers. Modernising and containerising existing applications for Azure deployment. Build new cloud native event driven applications. Ensuring More ❯

you'll have the chance to influence technical decisions and shape how new features are delivered. Tech environment Java 17, Spring, Spring Boot Reactive programming with Akka Microservices architecture Kafka, JMS, RabbitMQ, ActiveMQ Docker/Kubernetes, AWS, MongoDB What we're looking for Solid hands-on experience with Java 11+ (ideally Java 21) Good understanding of Reactive Programming concepts … with Akka, WebFlux, RxJava etc. Experience working with microservices and distributed systems Background with Kafka and JMS related messaging tools Knowledge of multithreading, concurrency, and performance tuning Familiarity with AWS and MongoDB Previous experience in financial services, ideally within payments Why join Work on systems used by major global banks Be part of a highly collaborative, engineering-driven culture More ❯

you’ll have the chance to influence technical decisions and shape how new features are delivered. Tech environment Java 17, Spring, Spring Boot Reactive programming with Akka Microservices architecture Kafka, JMS, RabbitMQ, ActiveMQ Docker/Kubernetes, AWS, MongoDB What we’re looking for Solid hands-on experience with Java 11+ (ideally Java 21) Good understanding of Reactive Programming concepts … with Akka, WebFlux, RxJava etc. Experience working with microservices and distributed systems Background with Kafka and JMS related messaging tools Knowledge of multithreading, concurrency, and performance tuning Familiarity with AWS and MongoDB Previous experience in financial services, ideally within payments Why join Work on systems used by major global banks Be part of a highly collaborative, engineering-driven culture More ❯

you’ll have the chance to influence technical decisions and shape how new features are delivered. Tech environment Java 17, Spring, Spring Boot Reactive programming with Akka Microservices architecture Kafka, JMS, RabbitMQ, ActiveMQ Docker/Kubernetes, AWS, MongoDB What we’re looking for Solid hands-on experience with Java 11+ (ideally Java 21) Good understanding of Reactive Programming concepts … with Akka, WebFlux, RxJava etc. Experience working with microservices and distributed systems Background with Kafka and JMS related messaging tools Knowledge of multithreading, concurrency, and performance tuning Familiarity with AWS and MongoDB Previous experience in financial services, ideally within payments Why join Work on systems used by major global banks Be part of a highly collaborative, engineering-driven culture More ❯

you’ll have the chance to influence technical decisions and shape how new features are delivered. Tech environment Java 17, Spring, Spring Boot Reactive programming with Akka Microservices architecture Kafka, JMS, RabbitMQ, ActiveMQ Docker/Kubernetes, AWS, MongoDB What we’re looking for Solid hands-on experience with Java 11+ (ideally Java 21) Good understanding of Reactive Programming concepts … with Akka, WebFlux, RxJava etc. Experience working with microservices and distributed systems Background with Kafka and JMS related messaging tools Knowledge of multithreading, concurrency, and performance tuning Familiarity with AWS and MongoDB Previous experience in financial services, ideally within payments Why join Work on systems used by major global banks Be part of a highly collaborative, engineering-driven culture More ❯

based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯

based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯

based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯

based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯

based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯

end to end. Your Profile Technical Skills (Proven experience of delivering “responsibilities” against following Tech Stack) Working experience on Linux and Windows Operating System. Working knowledge of IBM MQ, Kafka, Oracle, Ms SQL Server Has configuration, management and support experience of Apache Web Servers and Application Servers – JBOSS, Websphere. Implementation knowledge of Chef, Ansible, Firewall, PKI, Cyber wallet and More ❯

end to end. Your Profile Technical Skills (Proven experience of delivering “responsibilities” against following Tech Stack) Working experience on Linux and Windows Operating System. Working knowledge of IBM MQ, Kafka, Oracle, Ms SQL Server Has configuration, management and support experience of Apache Web Servers and Application Servers – JBOSS, Websphere. Implementation knowledge of Chef, Ansible, Firewall, PKI, Cyber wallet and More ❯

Integrate with enterprise systems such as SAP HANA, Kafka, and UiPath. Build and deploy agents on Microsoft AI Foundry (preferred) and Copilot Studio (optional). Implement workflows with Azure Machine Learning, Azure DevOps, and GitHub Your Profile Essential skills/knowledge/experience: Proven experience leading AI engineering teams and delivering enterprise-grade solutions. Strong technical depth in AI More ❯

seamless care experience. What Will You Need? 5+ years of backend engineering experience using Node.js, TypeScript, and PostgreSQL. Deep experience with event-driven systems and real-time data processing (Kafka, RabbitMQ, webhooks). Strong grasp of distributed system architecture and messaging infrastructure. Bonus points if you've worked with LLMs or in AI-integrated environments. Security-forward mindset experience More ❯

driven architecture. Collaborate with engineering, product, and DevOps teams to ensure seamless integration and deployment of backend services. Own architectural decisions for systems involving SQL/NoSQL databases, Redis, Kafka, Solace, and other backend technologies. Lead initiatives for backend modernization, microservices migration, and platform scalability. Ensure security, compliance, and maintainability in backend systems. Evaluate and recommend new technologies, frameworks … or Node.js. Deep expertise in cloud architecture, especially with Microsoft Azure (App Services, AKS, Functions, Storage, Service Bus, etc.). Proven experience in event-driven architectures, using technologies like Kafka, Solace, or Azure Event Hubs. Solid understanding of microservices, API design, REST/gRPC, and service meshes. Strong experience with both SQL (e.g., SQL Server, PostgreSQL) and NoSQL databases More ❯

He should have implantation experience in ELK • If candidate has just done monitoring of existing ELK setup , that will not be useful. • Candidate should have exposure to cloud and Kafka • Also should have exposure to security domain • Strong understanding of elastic - elastic search , Kibana , logstash , Fleet and other integrations • Data Engineering skill set to design and develop pipelines to More ❯

Company | SaaS, Product, B2B2C, Enterprise 📏 Size | 2.5k globally, 300 in London 🧢 Role | Engineering Manager 🎯 Areas | people leadership, product development, data management ✨ Tech | Node.js, React, Kafka 📍 Based | London (Zone 1) 💻 Hybrid | 3 days a week in-office 💰 Offer | £120-135k base + bonus + RSUs (Total comp c£175-190k) Hi Workonomics are partnering with a well-known More ❯

Company | SaaS, Product, B2B2C, Enterprise 📏 Size | 2.5k globally, 300 in London 🧢 Role | Engineering Manager 🎯 Areas | people leadership, product development, data management ✨ Tech | Node.js, React, Kafka 📍 Based | London (Zone 1) 💻 Hybrid | 3 days a week in-office 💰 Offer | £120-135k base + bonus + RSUs (Total comp c£175-190k) Hi Workonomics are partnering with a well-known More ❯