26 to 50 of 294 Remote Kafka Jobs

with cloud platforms (AWS, Azure, GCP), especially .NET Core 6.x Preferred: Masters Degree in a relevant field Experience with NoSQL databases (Redis, MongoDB, Elasticsearch) Familiarity with distributed messaging systems (Kafka, Azure Service Bus, MQTT) Previous experience in the airline or travel industry is a plus Let me know if youre interested or would like to refer someone who fits More ❯

champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Astro, Cloudflare, Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone . Were a place of opportunity. Youll have the tools and autonomy to drive your own career More ❯

champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Astro, Cloudflare, Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone . Were a place of opportunity. Youll have the tools and autonomy to drive your own career More ❯

our core languages - Java, Go, or Python. Proven track record of designing and building scalable microservice architectures. Deep understanding of event-driven systems and message queues (e.g. NATS, RabbitMQ, Kafka). Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data More ❯

software development using Java, Kotlin , or similar. Experience working with frameworks and tools such as Spring Boot, Spring WebFlux, or Project Reactor . Practical experience and understanding of Apache Kafka . Experience with both RDBMS and NoSQL databases , e.g. PostgreSQL, DynamoDB Experience building on AWS or other public cloud platforms. Strong experience of working with a modern development toolchain More ❯

Elastic, etc.) TDD, CI/CD, and agile delivery experience Ability to deliver from design to deployment Bonus Points: Experience in Front Office, Risk, or Pricing within investment banking Kafka, GRPC, Docker/Kubernetes, cloud-native development Knowledge of risk sensitivities and front-to-back processes Join a leading global financial group and help shape the next generation of More ❯

Elastic, etc.) TDD, CI/CD, and agile delivery experience Ability to deliver from design to deployment Bonus Points: Experience in Front Office, Risk, or Pricing within investment banking Kafka, GRPC, Docker/Kubernetes, cloud-native development Knowledge of risk sensitivities and front-to-back processes Join a leading global financial group and help shape the next generation of More ❯

legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning, profiling and optimising Kafka, Spark, or container networking under load. In Return: This role is at the heart of a highly leveraged platform, enabling hundreds of engineers to use critical data systems with More ❯

ML, robotics, infrastructure) Experience with scientific data visualisation or complex data interfaces Experience with large-scale job orchestration frameworks such as Flyte, Spark or similar. Knowledge of GraphQL, Prisma, Kafka, or modern cloud infrastructure (Azure, GCP, or AWS) Experiencing Data lake tools (e.g. Databricks) Exposure to AI/ML model development workflows and data tooling This is a full More ❯

ingestion and processing. Proficiency in Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for orchestration. Familiarity with AWS cloud More ❯

in Agile environments (Scrum, Kanban, SAFe) with strong architectural governance Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL More ❯

A strong background in software development using Java, Kotlin , or similar. Strong experience working with frameworks and tools such as Spring Boot . Practical experience and understanding of Apache Kafka orotherMessage Queue systems. Experience with RDBMS databases , e.g. PostgreSQL. Experience of working with a modern development toolchain – e.g. Git, Maven, Docker, GitLab CI/CD pipelines , Kubernetes A practical More ❯

roles, delivering custom data architecture solutions across various industries. Architectural Expertise: Strong expertise in designing and overseeing delivery of data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh More ❯

C++, Java, Rust Python, Bash Git, Jenkins Competent in most of the following technologies: Kubernetes, Docker AWS, VMWare Terraform, Ansible Robot Framework or PyTest Useful additional requirements: Experience with Kafka, Kafka Streams, Elasticsearch, Redis, Prometheus, Kibana, SQL/RDBMS Telecoms signalling protocols: Diameter, SS7, GTP-C, SIP Telecoms messaging: SMS, SMPP, MMS About Enea We are a world More ❯

team. This is a smaller sized, close-knit business with some huge customers and working on something very unique. Technologies they are working with daily include: Java, Spring boot, Kafka, Microservices Architecture, some Python, PostgreSQL, MongoDB, AWS, Kubernetes and more. Experience Needed: Experienced backend Java software engineer Expereinced working with systems at high scalability Experienced working with distributed systems More ❯

team. This is a smaller sized, close-knit business with some huge customers and working on something very unique. Technologies they are working with daily include: Java, Spring boot, Kafka, Microservices Architecture, some Python, PostgreSQL, MongoDB, AWS, Kubernetes and more. Experience Needed: Experienced backend Java software engineer Expereinced working with systems at high scalability Experienced working with distributed systems More ❯

Excellent oral and written communication skills - An interest to learn the business supported by the applications - Knowledge and desire to use agile software development practices Skills Desired: - JMS, MQ, Kafka - MongoDB - Knowledge of a range of common Open Source libraries used in Java development - Database performance tuning (relational and document) - Python/Shell Scripting - Financial domain knowledge (eg Equities More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 2 days/week More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 3 days/week More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 3 days/week More ❯

Cloud technologies and how to create scalable multi-region applications Experience with the following technologies: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CockroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working with agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Must have experience with Sportsbetting More ❯

life. We champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone. Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported More ❯

business growth strategy. How you will fulfill your potential • Gain knowledge of the end - to - end life cycle for Trade Execution • Full stack development with React, Java, object caches, KAFKA, AWS, NoSql data sources and event driven processes. • Participate in the design, development, testing, roll out and support of our systems. • Work closely with business users and other developers More ❯

Some applications also use graphql. Backend: The new platform is being built out using Kotlin in a micro service based architecture and is deployed within Kubernetes/Openshift containers. Kafka is used as the core messaging layer. graphql server Best practices around DevOps techniques are expected to be utilised with real-time monitoring and metrics part of the key More ❯

backend services using Java and Spring. Work with databases, including SQL (e.g., Postgres) and NoSQL (e.g., DynamoDB). Build, test, and optimize technical solutions. Develop event-driven systems leveraging Kafka for messaging. Work closely with cross-functional teams, including frontend engineers, UX, and product management. Contribute to architectural decisions, ensuring maintainability, scalability, and high performance. Take full ownership of More ❯