for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. More ❯
for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. More ❯
for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. More ❯
and design principles Working experience with Unit testing and test automation Working experience with Maven or similar build tools Experience with messaging technologies (RabbitMQ, Kafka) Familiarity with Docker, Kubernetes or other containerization frameworks Experience with Shell Scripting and Git Working experience with: Oracle, PostgreSQL Familiarity with build/deployment More ❯
with DevOps principles and tooling such as Infrastructure as Code (Terraform) and CI/CD (GitHub Actions, Jenkins) Knowledge of stream processing technologies like Kafka would be useful Experience working with ITSM systems like JSM, Zendesk or ServiceNow Experience building/maintaining automated incident management workflows Experience developing with More ❯
Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale. Strong understanding of data lake 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 ❯
building, and deploying microservices (ideally with Java, Spring Boot, Node.js, or Python). Expertise designing and implementing event-driven systems using tools like ApacheKafka, RabbitMQ, Amazon EventBridge, Azure Event Grid, or Google Pub/Sub. Cloud Hyperscalers: Practical experience with AWS, Azure, and GCP. Leading iPaaS Tools: Proficiency More ❯
of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming More ❯
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 More ❯
cache systems like Apache Ignite or Redis Experience in big data platforms and technologies such as Hadoop, Hive, HDFS, Presto/Starburst, Spark, and Kafka Experience in Spring Framework and Cloud Computing for both batch and real-time high volume data processing Experience in understanding complex SQLs and exposure More ❯
with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS More ❯
our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯
/Experience: 7 + years hands on Java development experience in a front-office environment Capital markets experience Java – Java 8+, Spring Boot, Microservices, Kafka, DB Strong Java script knowledge in React or Angular is useful Python – flask You'll be required to work in our or our clients More ❯
/Experience: 7 + years hands on Java development experience in a front-office environment Capital markets experience Java – Java 8+, Spring Boot, Microservices, Kafka, DB Strong Java script knowledge in React or Angular is useful Python – flask You'll be required to work in our or our clients More ❯
/Experience: 7 + years hands on Java development experience in a front-office environment Capital markets experience Java – Java 8+, Spring Boot, Microservices, Kafka, DB Strong Java script knowledge in React or Angular is useful Python – flask You'll be required to work in our or our clients More ❯
Kubernetes - Multi-threading - Worked in a fast paced SME - Architecture/Design experience Desirable Skills: - AWS/Azure/GCP - Serverless architecture - DevOps practices - Kafka/RabbitMQ or similar - Data Modelling/API Visioning Benefits: - Salary up to £75,000 - Bonus up to 10% - 11% Pension (6 % employer More ❯
Kubernetes - Multi-threading - Worked in a fast-paced SME - Architecture/Design experience Desirable Skills: - AWS/Azure/GCP - Serverless architecture - DevOps practices - Kafka/RabbitMQ or similar - Data Modelling/API Visioning Benefits: - Salary up to £75,000 - Bonus up to 10% - 11% Pension (6 % employer More ❯
moving environments. Excellent communication skills, capable of engaging both technical and non-technical stakeholders. Bonus Points If You Have: Exposure to streaming frameworks like Kafka or Kinesis. Experience building ML pipelines or supporting data science workflows. Familiarity with containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). More ❯
moving environments. Excellent communication skills, capable of engaging both technical and non-technical stakeholders. Bonus Points If You Have: Exposure to streaming frameworks like Kafka or Kinesis. Experience building ML pipelines or supporting data science workflows. Familiarity with containers (Docker/Kubernetes) and infrastructure-as-code (Terraform, CloudFormation). 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 ❯
Server, Cosmos DB, Service Bus, Blob Storage. Message bus/queue OIDC, OAuth 2.0, JWTs. Preferred Technical Skills: Systems integration experience. Knowledge of Kubernetes, Kafka, Terraform, GitHub Actions, Open Telemetry (OTEL), Numpy, and Pandas. Required Soft Skills: Experience leading an agile software development team (preferably in a Scrum environment More ❯
Spring Boot, Kotlin, DynamoDB, Aurora/MySQL, and AWS. Participate in designing how our architecture evolves to meet needs, using ADRs, microservices on Kubernetes, Kafka, and event-driven design. Take ownership of tasks from estimation to release and post-production. Identify, troubleshoot, and resolve defects. Write tests for all More ❯
City of London, London, United Kingdom Hybrid / WFH Options
RP Recruitment Ltd
in financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture More ❯
