301 to 325 of 713 Kafka Jobs in London

blue-green deployment methodology BS. or higher in Computer Science (or equivalent work experience) PreferredQualifications Experience withNode, Webpack, MobX, Redux Experience with Spring boot, Kafka Experience with Microservice architectures and REST API Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience with AWS Experience ...

Rules team. You will work on a range of microservices written mainly in Rust. Technologies we use include Docker, Go, PostgreSQL, Redis, Memcached, gRPC, Kafka, Clickhouse and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate at Cloudflare ...

comfortable moving between architecture, code, incidents, client conversations and commercial considerations. AWS and Azure · Kubernetes and EKS · Terraform · Helm · GitOps · CI/CD · Elasticsearch · Kafka · PostgreSQL · ClickHouse · Python services · observability and Prometheus · multi-fleet, multi-cell client environment architecture · cloud and Kubernetes security Nobody knows all of it well. ...

things into context, you can expect to work with the following tech stack: AWS (product side), GCP (data side), Docker, Kubernetes, BigQuery, PostgreSQL dbt, Kafka, Airflow, Python, Kotlin and more! What you bring You’ll thrive in this role if you have: Strong backend engineering experience building and owning ...

Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as Power BI or Tableau Contributions to open-source projects or active participation ...

relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment ...

data processing performance and optimisation. Experience with some of the following data frameworks and infrastructure technologies is highly desirable: Apache Spark, Apache Airflow, Kafka, and Elasticsearch or OpenSearch. Experience with relevant database technologies is highly desirable, including PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus or pgvector. Experience ...

discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Preferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesExposure to cloud technologies, Splunk, Apache Kafka, GrafanaJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals ...

cloud, artificial intelligence, machine learning, or mobile Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies Exposure to cloud technologies, Splunk, Apache Kafka, and Grafana If you’re looking for a place where your leadership and ideas matter, join us at JPMorganChase and help shape the future ...

including trader‐facing tools. Experience 5+ years software engineering experience in building distributed systems. Excellent Java skills. Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.). Solid understanding of event‐driven architecture and asynchronous processing patterns. Experience handling data consistency challenges such as at‐least ...

/Fabric Analytics Engineer Associate. Experience with major cloud data services on Azure, AWS or Google Cloud. Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents. Familiarity with BI and semantic tooling, such as Power BI semantic models, or the Databricks/Snowflake semantic capabilities. ...

exchanges, trading venues, protocols, or market infrastructure. Experience developing collateral, position, accounting, market data, or reference data systems. Experience with Python. Experience with Apache, Kafka or other event streaming technologies. Experience using AI-assisted software development tools. Understanding of traditional financial instruments and financial market infrastructure. Our benefits include ...

fintech or payments environments Solid understanding of concurrent, distributed systems and high throughput transaction processing Experience with event driven architectures and messaging systems (e.g. Kafka, RabbitMQ) Strong experience working with relational and NoSQL datastores (e.g. PostgreSQL, MongoDB, BigQuery) Hands on experience deploying and running services in containerised environments using ...

design, produce, test and implement working software across the system lifecycle, with a focus on reliability and scalability. You’ll work with Kafka, Java/Spring Boot microservices and cloud-native technologies, applying Continuous Deployment practices and autonomous, empowered teams to deliver secure and observable services. #J-18808-Ljbffr ...

investment experience. You will work in squads, apply Java/Springboot with Kotlin, DynamoDB, Aurora/MySQL and AWS, design event-driven architectures with Kafka, and contribute to high-quality software through tests and code reviews. #J-18808-Ljbffr ...

tech lead. Ownership/Accountability: Have been responsible for the end to end delivery of technical products. The Key technologies: Java, Spring Boot, Azure, Kafka, React/Typescript, React Native, (Using AI Tools is a big Plus). Experience with API's, Microservices, Event Driven Architecture. (Greenfield Next Generation ...

have Team lead experience 3+ years 10+ years of Java experience (Java 11+) Strong knowledge of Spring Boot Experience with SQL databases Familiarity with Kafka or RabbitMQ Hands-on experience with Docker, Kubernetes, and cloud platforms Solid testing skills (JUnit, Mockito) Ability to mentor others and work in Agile ...

software design, algorithms and performance optimisation Desirable High Frequency Trading (HFT), Electronic Trading or Capital Markets experience Experience with networking or exchange connectivity Kafka, Docker, Kubernetes or AWS Python or C++ Why Apply? Join one of the industry's leading engineering teams Build software where performance directly impacts trading ...

building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

Brokerage or Risk domains. Experience integrating KDB platforms with Java and/or Python applications. Knowledge of event-driven and messaging architectures such as Kafka . Excellent communication and stakeholder management skills. Desirable Experience Experience working directly with trading desks and quantitative teams. Platform reliability engineering and monitoring expertise. ...

. Familiarity with low‐latency patterns, high‐throughput messaging, and microservices. Additional Skills Experience with Linux, shell scripting, and performance analysis tools. Knowledge of Kafka, Redis, Aerospike, or other high‐performance data stores. Understanding of order lifecycle, price feeds, and eTrading workflows in fixed income/rates. #J ...

Prometheus, Grafana, Elastic Stack, Vector, AlertManager).Experience with a variety of database platforms (e.g., PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB).Familiarity with specific middleware (e.g., Kafka, Consul), HPC schedulers (e.g., Slurm), Kubernetes, or workflow orchestrators (e.g., Airflow, Prefect).Experience with on-premise deployments of development tools like GitLab, Artifactory, CICD ...

ElastiCache, IAM, CloudWatch Experience in developing and supporting backend systems for data processing within AWS Knowledge of implementing and maintaining Kafka-based event-driven services Knowledge of Jenkins and developing CI/CD pipelines Demonstratable ability to work effectively in a collaborative team environment, mentoring junior team members ...

technical stakeholders. Desirable (but not essential) Experience in quantitative, trading, commodities, or financial systems. Exposure to messaging or event-driven architectures (e.g. Kafka). Experience with Reactive Extensions (Rx), async workflows, or concurrency-heavy systems. Familiarity with GraphQL or gRPC. Background in building systems that support analytics, optimisation ...

platform architecture, distributed data systems, orchestration, governance, and scalable data product design Experience with technologies and ecosystems such as GCP, AWS, Azure, Databricks, Snowflake, Kafka, Spark, dbt, Kubernetes, Airflow, ML/AI enablement, or similar modern platform tooling Strong commercial acumen and ability to engage credibly with senior technical ...