26 to 50 of 62 Kafka Jobs in London with Remote Work Options

feature enhancements. What you will need • Solid commercial experience in GoLang. • Experience with cloud environments • A desire to learn and continuously develop technical skills. • Kafka experience • Multi-threading experience • Great communication skills Nice to have • Understanding of financial markets • Interest in Crypto Find out more If you would like more »

or AWS) Design and be comfortable building low latency systems Testing distributed systems performances Understanding of containerisation such as Docker Messaging technologies such as Kafka, ActiveMQ, or RabbitMQ Trading, FinTech, Banking experience (bonus) Designing customer-facing APIs Execution, order, or portfolio management systems Create monitoring dashboards using technologies such more »

modern PHP 8+ with experience in Laravel/Symfony desired. JavaScript/TypeScript proficiency with NodeJS and React.JS. Familiarity with AWS Services (Aurora, MSK Kafka, ECS, EMR). 3+ years of database experience, ideally with MySQL. Hands-on experience with various data storage paradigms (e.g., RDMS + Document + more »

Java or Kotlin, with a focus on constructing contemporary microservices. A robust grasp of Test-Driven Development (TDD) methodologies. Prior hands-on experience with Kafka and streaming technologies. In addition to the above, you'll enjoy a generous training allocation, frequent company gatherings, and the flexibility to embrace remote more »

Strong experience in C#, .Net, and .Net Core - Experience with microservices and Web APIs - Experience in unit testing - Desirable: exposure and experience with AWS, Kafka, and Redis 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 »

Python Application Developer Industries: Energy/Oil & Gas/Financial Services/Commodities/Trading Location: London Job Type: Full-Time Salary: Up to £120,000 base salary + benefits/bonus The Role: We're delighted to have partnered more »

Developer Location: London, SE1 9SG 🌎 (1-3 days p/w in office) Salary: £70,000 – £100,000 Industry: Fintech Tech Stack: Go, Kubernetes, Kafka, GCP👩🏻‍💻 Great opportunity for a talented Developer (Go, Kubernetes, Kafka, GCP) to join a fintech startup that combines traditional and digital currencies into … to create a 21st century bank where money will truly work for their members. The Role ✨ They are seeking a skilled Developer (Go, Kubernetes, Kafka, GCP) to help build out their innovative platform. This team sits at the forefront of the business and is a highly visible team within … the company. The successful candidate (Go, Kubernetes, Kafka, GCP) will work closely with the development and product teams and have an impact on the entire platform. This is a great opportunity to work with a modern tech stack (Go, Kubernetes, Kafka, GCP) working directly on product features and more »

for service-to-service communication. Secure data mesh components, including data lakes, data warehouses, and data pipelines. Implement encryption, access controls, and auditing for Kafka topics and data streams & monitor anomalies in clusters. Produce Detailed Threat models after reviewing technical design documents. Design and implement authentication mechanisms (e.g., OAuth … would be within a financially regulated enterprise (e.g., PCI compliance). Previous exposure & relevant knowledge of service mesh, container platforms, and data solutions like Kafka is essential. Previous exposure to risks related to data exposure, privilege escalation, and denial-of-service attacks. Relevant experience in securing service mesh & container more »

key technologies are C# (.NET Core) applications hosted using Kubernetes on AWS. We also use a number of other key technologies including Python, RabbitMQ, Kafka, Elasticsearch and Concourse for CI/CD. As we work in an informal, agile environment we are also looking for candidates who are genuinely more »

project so being able to build from scratch - Automation Testing - CI/CD - Devops Skills - Agile ways of working - Nice to have- (Springboot/Kafka) - Hands on- Guiding Junior Members of staff - Reusable service, exchanging documents to and from customers - Running anti virals more »

Golang (Go) code to a high level. Multi-cloud environments of GCP (and AWS). Other coding languages such as Java, Python and Scala Kafka for the message queue Kubernetes and Docker Reading React How To Apply If you are a Senior Software Engineer with experience in Golang and more »

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 more »

Golang (Go) code to a high level. Multi-cloud environments of GCP (and AWS). Other coding languages such as Java, Python and Scala Kafka for the message queue Kubernetes and Docker Reading React How To Apply If you are a Back-end Golang Developer and interested in this more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

driven architecture ● Cloud and security Technologies eg AWS or Azure Web API ● Docker and Kubernetes ● Serverless technologies such as AWS Lambda ● Data, Messaging eg Kafka ● .Net Core & C# ● SOLID Principles and Design Patterns ● Architecture diagramming and documentation ● Azure DevOps, Git ● Proficient working with relational and non-relational data sources 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 more »

development methodologies Experience with data warehousing and reporting and modern cloud and messaging patterns and practices Experience of Message bus stack RabbitMQ, Service Bus, Kafka etc Experience with General Cloud Architecture on Azure and AWS and the tech stack at architectural level Understanding of ETRM systems especially Endur General more »

Remote) Location: London, UK (Fully Remote) Salary: £55,000 per annum Are you an experienced Java/Kotlin Developer with a strong background in Kafka looking for a challenging opportunity to work remotely? My client are currently seeking a talented individual with 3-5 years of experience to join … to collaborate with a dynamic team based in London. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Java and Kotlin. Implement Kafka-based solutions for building resilient, real-time data streaming applications. Collaborate with cross-functional teams to define project requirements and deliver innovative solutions. Participate … troubleshooting to ensure the quality and reliability of software applications. Stay up-to-date with industry trends and best practices in Java, Kotlin, and Kafka development. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 3-5 years of hands-on experience in Java and Kotlin development more »

Senior Software Engineer Salary £80,000 - 110,000 base + additional package DOE Offices based in Central London - Flexible hybrid working A rapidly growing global industry leader, known for its innovative solutions and disruptive approach is seeking a strong engineer more »

Elastic search, EKS, Cloudwatch, Cloudfront. Desirable Requirements: 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: Flexible more »

Contract- 12 months, inside IR35 Expert in coding in Python - Understanding of advanced coding techniques(design patterns, SOLID, Unit Testing). Working experience with Kafka C#/NET experience Azure experience Asynchronous API Commodities trading background CI/CD Tooling and processes to ensure high quality results. Strong analytical 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 »

our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and quickly resolving production issues. more »