51 to 75 of 549 Kafka Jobs in London

also have Experience with Python-based data processing or automation. Familiarity with AI/ML frameworks, APIs or Generative AI tools. Exposure to Spark, Kafka or other distributed data processing technologies. Experience with Docker, containers or Kubernetes. Familiarity with infrastructure as code, such as Terraform or CloudFormation. Exposure ...

continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with Kafka, RabbitMQ or other messaging technologies Experience with event-driven architectures Experience of real-time, low-latency transaction-based systems Knowledge of AWS, Docker ...

Domain-Driven Design (DDD), bounded contexts, event-driven architecture and service decomposition. Experience building scalable cloud-native applications using technologies such as Kubernetes, Kafka, Redpanda, PostgreSQL and MongoDB. Experience working with AWS and/or Azure. Strong understanding of CI/CD, automated testing, observability and production operations. Experience ...

technologies such as **GKE, OpenShift, EKS/AKS or Cloud Foundry**.* Strong experience with event-driven and messaging architectures using technologies such as **Kafka, RabbitMQ or ActiveMQ**.* Experience designing and working with relational databases, particularly **PostgreSQL or MySQL**.* Confirmed experience designing and implementing **high-throughput ...

Service technologies such as GKE, OpenShift, EKS/AKS or Cloud Foundry.Strong experience with event-driven and messaging architectures using technologies such as Kafka, RabbitMQ or ActiveMQ.Experience designing and working with relational databases, particularly PostgreSQL or MySQL.Confirmed experience designing and implementing high-throughput, low-latency streaming ingestion and processing ...

tooling - lock-free data structures, off-heap or allocation-free design, and libraries such as Aeron, Chronicle or the LMAX Disruptor. Event streaming (Kafka or similar), Kubernetes, and public cloud (AWS/GCP/Azure). Welcome, but not required Experience with Python, or with lower-level languages such ...

Desirable Experience Experience within investment banking, financial services or other highly regulated environments Exposure to risk, trading, treasury or regulatory data domains Experience with Kafka, streaming technologies or real-time data processing Databricks certifications Experience with Airflow, Databricks Workflows or similar orchestration tools CI/CD pipeline development ...

microservices and service-oriented design. Working knowledge of event-driven architectures and messaging patterns. Experience with streaming and/or messaging technologies (for example, Kafka or IBM MQ). Experience with caching technologies (for example, Redis, GemFire, or Apache Ignite). Working knowledge of relational and non-relational databases. ...

calculations, including interest, fees, repayment schedules and account lifecycles Automated testing, Git and CI/CD Beneficial: AWS, Azure or GCP; Kubernetes, Docker and Kafka; legacy core banking migrations to Vault; Vault Payments; Thought Machine certifications; technical leadership #J-18808-Ljbffr ...

automation Docker and Kubernetes SQL and data validation Linux environment Highly Desirable Equities, FX, Fixed Income, Commodities or Crypto trading platforms Market data systems Kafka or messaging technologies Contract testing (Pact, PactFlow or similar) AWS, Azure or GCP Low latency or high-throughput systems What You'll Be Doing ...

automated testing Azure DevOps, Git and CI/CD Strong troubleshooting and problem-solving capability Good stakeholder communication Banking, Capital Markets or Financial Services Kafka, RabbitMQ or Azure Service Bus Event-driven architectures React/Angular Application observability and performance engineering DevSecOps and secure coding #J-18808-Ljbffr ...

scalability. Confidence contributing to technical direction, mentoring engineers and explaining engineering decisions to non-technical stakeholders. Exposure to technologies such as Spring Boot, Kafka or Kubernetes would be useful, as would experience with newer AI technologies, but I've deliberately avoided reproducing the complete source stack because that combination ...

development Familiarity with data storage systems (e.g., Postgres, OpenSearch) and AWS services such as S3, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), Event Driven Systems. #J-18808-Ljbffr ...

Familiarity with Spring AI or LangChain/LangChain4j, prompt engineering best practices, and streaming LLM responses to React UIs. Microservices architecture and messaging systems (Kafka, RabbitMQ) Cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) Testing: JUnit and Mockito on the backend; Jest, React Testing Library, and Cypress ...

Cloud platforms, particularly Azure.Test data management/tools.Docker and Kubernetes.Performance testing.Security testing.API and integration testing.Automated regression testing and framework development. Desirable Experience Knowledge of Kafka, IBM MQ or ACE.Understanding of middleware and message queuing technologies.Knowledge of software architecture technologies such as XBRL and HTML.Previous experience within banking or financial ...

technical audiences; ability to operate in globally distributed teams Preferred qualifications, capabilities, and skills Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace) Experience with observability stacks and resilience engineering for low-latency/latency-sensitive platforms Familiarity with Python Experience operating ...

Points Backend development experience in Java or Kotlin (ideally Spring Boot). Understanding of microservices, database concepts (RDBMS/PostgreSQL), and event-driven architectures (Kafka). Familiarity with containerization (Docker) or cloud deployments (AWS/Kubernetes). Location & Ways of Working Hybrid Model: London-based with a hybrid policy ...

oriented data access Develop High-Performance Pipelines Build and optimise batch and real-time pipelines Work with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design ...

writing well-tested code. · Backend development - Solid commercial experience in a modern backend language, plus relational and NoSQL persistence and messaging such as Kafka or SNS/SQS. Java/Spring Boot experience is preferred, but we welcome strong engineers from other languages who are keen to pick ...

Terraform), and network automation protocols (NetConf, YANG). Distributed Systems & Observability: Deep familiarity with modern distributed systems tooling, including RESTful APIs, gRPC, message brokers (Kafka, NATS), and data serialization formats (JSON, YAML). Demonstrated expertise in system observability, telemetry, and monitoring stacks (Prometheus, Grafana). High-Performance Networking: Knowledge ...

Advanced RAG architectures Vector databases Multi‐agent systems Guardrails and AI reliability LLMOps/MLOps/GenAIOps Kubernetes/ECS/EKS Redis/Kafka/RabbitMQ/Celery Terraform Enterprise AI applications/AI portals Benefits&Perks Comprehensiveprivatemedicalcoverage: Access private medical with Vitality healthcare - includes optical, dental cover ...

heap data structures, including memory-mapped file-based data structures. Knowledge and experience of JVM based optimisation. Experience with distributed systems, data streaming (e.g., Kafka) and big-data processing paradigms. Working in any of: Scrum, Agile, XP, Kanban or Lean Software Development environment. Software and application design and algorithm ...

/CD pipelines, e.g. Azure DevOps, Experience with SQL databases and other distributed data stores, e.g. Cassandra and Hazelcast, Experience with messaging technologies, e.g. Kafka and Solace, Good knowledge of design patterns and best practices, Able to design the solution to complex and/or ambiguous business problem that ...

open to experienced engineers with strong transferable backgrounds, such as Java. Experience with distributed and event-driven systems , including technologies such as Kafka, Azure Event Hubs or Service Bus. Solid understanding of platform technologies , including Kubernetes, Docker, Terraform, CI/CD and observability tooling. Experience designing data-intensive services ...

Palantir AIP, ServiceNow AI Agents). Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform). Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio ...