51 to 65 of 65 Kafka Jobs in London with Remote Work Options

with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines setup and config Document-based/No-SQL databases The ELK stack Apache Kafka Spring Security and OAuth2 flows React React Native Keycloak Camunda OpenAPI/Swagger Nginx setup and config The company offers fantastic benefits including; Hybrid more »

for you. They're seeking a skilled Java Engineers to help create meaningful solutions using modern Java related technologies such as Spring Boot, Microservices, Kafka, Kubernetes, Docker all while harnessing the power of AWS. Key Responsibilities : Develop and maintain Java applications with Spring Boot and microservices. Collaborate with cross more »

stack Experience - 7+ yrs Contract duration - 12 Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation more »

very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets They are a very more »

platforms like AWS, GCP, or Azure Comfortable working with message queues and/or event-driven architectures (e.g. SQS/SNS, Pub/Sub, Kafka, RabbitMQ) Experience with Docker Familiarity with Redis Excellent written communications skills (necessary for remote work) Desirable: Experience with Elasticsearch and search in general Knowledge more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

for you. They're seeking a skilled Java Engineer to help create meaningful solutions using modern Java related technologies such as Spring Boot, Microservices, Kafka, Kubernetes, Docker all while harnessing the power of AWS. Key Responsibilities : Develop and maintain Java applications with Spring Boot and microservices. Collaborate with cross more »

strategies and engineering practices. They specialise in providing cutting-edge data solutions to various clients across the globe. Their tech stack includes Kotlin, React, Kafka, Kubernetes, and AWS, and they are on a mission to make data work smarter for businesses across various industries. £110,000 depending on experience. … a JVM language, Kotlin, Java, Scala, Clojure Knowledge of Typescript and React is beneficial Exposure to data pipelines using technologies such as Spark and Kafka Experience with cloud services (ideally AWS) Hybrid working 1-2 days per week in Central London. £110,000 depending on experience. Please apply and more »

/Neo4j/Elastic, Google Cloud Datastore. * BigQuery and Data Studio/Looker. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. * Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. * Experience and knowledge more »

on role. 10+ years of experience Software or Solution Architecture experience Cloud Microservices Distributed cache systems experience DevOps Design of trading systems Java and Kafka Financial Services experience is essential for this role Please apply for immediate interview! The JM Longbridge Group is operating and advertising as an Employment more »

ICIS etc. Experience with AWS cloud services, including AWS WAF (Web Application Firewall), AWS Lambda (serverless computing), and Amazon MSK (Managed Streaming for Apache Kafka) Front office focused, Hourly communicating with traders, managing stakeholders, Interviewed by senior .net devs and excel experts Multiple projects, one aspect role will be more »

the ELK stack. Set up and manage the CI/CD pipeline using BitBucket, Maven, Terraform, Jenkins, Ansible/Packer, and Kustomize. Work with Kafka, SQS for queuing solutions and implement scheduling using Jenkins/Ansible. Use a combination of Cucumber, JUnit, Selenium, and Postman for comprehensive testing. Qualifications more »

future duties and responsibilities - Design, build, manage and support our clients needs. Required qualifications to be successful in this role -Linux - Redhat - Debian - Nifi - Kafka - Must hold a valid higher level clearance Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork more »

for a MedTech company with a growing reputation in their field. The Data Architect will use their skills and experience of technologies including Kubernetes, Kafka, Airflow, Linux, AWS and Python to spearhead the evolution and enhancement of their existing data infrastructure, as they scale up the adoption of their … in the Software as a Medical Device industry Experience of designing and implementing scalable and secure data infrastructure Hands-on experience with the Kubernetes, Kafka, Airflow, Python, Ubuntu Linux, AWS (or similar cloud platforms) Strong database skills using SQL - Any experience with PostgreSQL or MongoDB would be advantageous An more »