Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like ApacheKafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana More ❯
a related field, or equivalent experience. Experience in Big Data Java development. In-depth knowledge of Big Data frameworks, such as Hadoop, Spark, and Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala More ❯
and execution systems. • Experience with multithreading, garbage collection tuning, and optimizing memory management. • Strong understanding of networking, TCP/IP, messaging protocols (e.g., FIX, Kafka, or RabbitMQ). • Experience working within banking, hedge funds, or financial institutions. • Solid understanding of algorithms, data structures, and system design principles. • Familiarity with More ❯
and execution systems. • Experience with multithreading, garbage collection tuning, and optimizing memory management. • Strong understanding of networking, TCP/IP, messaging protocols (e.g., FIX, Kafka, or RabbitMQ). • Experience working within banking, hedge funds, or financial institutions. • Solid understanding of algorithms, data structures, and system design principles. • Familiarity with More ❯
Experience developing real-time event driven and event sourced systems, and proven record of accomplishment of delivering successfully large-scale integration projects. Experience with Kafka, IMDG, Data warehousing frameworks. Experience with financial markets (rates/credit/commodities/equities). Experience with financial mathematics, modeling, and/or More ❯
and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools into production applications. Exposure to real-time systems, messaging queues (e.g., Kafka, RabbitMQ), or event-driven architectures. Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity More ❯
and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools into production applications. Exposure to real-time systems, messaging queues (e.g., Kafka, RabbitMQ), or event-driven architectures. Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity More ❯
. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Chapter 2
. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯
teamwork and collaboration above all else. We like to use Microservices and microfrontends. Java, SpringBoot, Python, Javascript/TypeScript. Event-driven architecture based on Kafka and Solace Queue. Restful APIs, gRPC, and socket-based APIs. Relational and NoSQL databases. Docker and Kubernetes, Jenkins, and ArgoCD. Continuous Integration and Continuous More ❯
Docker, Kubernetes, or related container platforms. Experience with cloud-native software deployment, ideally on AWS or Kubernetes. Experience with message bus technologies such as Kafka or AMPS. Experience developing open-source or internal libraries integrated into applications by other teams. Experience working on high-throughput, mission-critical, high-performance More ❯
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 More ❯
mobile, etc.) Experience in UI development with experience in React or Angular, TypeScript, CSS, Micro Frontend Development, and JavaScript Backend Technology - Java/Spring, Kafka, NoSQL (MongoDB, Cassandra) Preferred qualifications, capabilities, and skills Exposure to cloud technologies (AWS, Kubernetes) Experience in architecture and design of microservices Experience in UI More ❯
Spring Boot and related Java technologies for building scalable back-end services. Experience with both NoSQL (MongoDB) and RDBMS (Oracle, PostgreSQL) databases. Knowledge of Kafka or similar data streaming platforms. Strong problem-solving skills and the ability to work collaboratively in a team environment Preferred qualifications, capabilities, and skills More ❯
Java is the core skillset we look for, you will also gain exposure to the following: Kotlin (Java) Typescript Angular Websockets GCP AWS Kubernetes Kafka PostgreSQL MongoDB ElasticSearch Redis Snowflake Databricks What we're looking for: We're looking for Senior Java Developers who are passionate about what they More ❯
C#/.Net in Azure Cloud Tech Stack - One or more of these technical skills C#/.Net NodeJS Web API Messaging ( Rabbit or Kafka) Kubernetes/Docker AWS/Azure GIT Terraform ORMs eg Entity Framework/NHibernate SQL Document DB REST SOLID TDD Agile/SCRUM Dev More ❯
tested, secure, and readable code in Java, UI frameworks (Angular), RESTful APIs, SOAP. Practical experience in containerized application development and deployment using Docker, Kubernetes, Kafka, AWS. Experience with component-based web UI frameworks such as ReactJS, Angular or Vue.js, knowledge of RDBMS/SQL (Esp. Oracle). Experience working More ❯
teams having multiple levels of engineering. Strong experience in Java 17+, ideally with experience in using Spring Boot or Micronaut. Hands-on knowledge of Kafka, event-driven architecture, enterprise integration patterns and microservices. Solid understanding of payment systems and PSP integrations, including fraud, tokenisation, and settlement flows. Experience with More ❯
experience on RESTful APIs - interconnected software components interaction, engineering and testing (e.g. NMS applications, controllers, orchestrators, supervisory systems, etc.). Experience and understanding of Kafka messaging bus. Experience in using monitoring tools like Nagios, Grafana, Prometheus and Kibana is desired. Deployment environment: Kubernetes, Docker, microservices. Experience on Talos Kubernetes More ❯
Saltstack), CI/CD (Gitlab, Jenkins, Git), monitoring and visualization (Prometheus, Grafana) Experience with big data technologies such as NoSQL/RDBMS, Redis, ElasticSearch, Kafka Experience with containers and container management (Docker, Kubernetes) Experience analysing and building data telemetry, modelling, pipelines, UI visualization Experience in developing software, troubleshooting, and More ❯
required but are highly desirable: Experience working with modern CI/CD tooling such as GitHub Actions or Azure DevOps Pipelines. Experience working with Kafka/Azure Service Bus/Event Grid. Exposure to Power Platform tools such as Power Automate and Power Apps. Exposure to data migration tools More ❯
Shirebrook, England, United Kingdom Hybrid / WFH Options
Frasers Group
required but are highly desirable: Experience working with modern CI/CD tooling such as GitHub Actions or Azure DevOps Pipelines. Experience working with Kafka/Azure Service Bus/Event Grid. Exposure to Power Platform tools such as Power Automate and Power Apps. Exposure to data migration tools More ❯
shirebrook, midlands, united kingdom Hybrid / WFH Options
Frasers Group
required but are highly desirable: Experience working with modern CI/CD tooling such as GitHub Actions or Azure DevOps Pipelines. Experience working with Kafka/Azure Service Bus/Event Grid. Exposure to Power Platform tools such as Power Automate and Power Apps. Exposure to data migration tools More ❯
Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as ApacheKafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for More ❯
