14 of 14 Kafka Jobs in South London

of AI/ML platforms or other advanced analytics infrastructure. Familiarity with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Experience with modern data engineering technologies (e.g., Kafka, Spark, Flink, etc.). Benefits Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the Best Places to Work 2024 by the Sunday Times for More ❯

Senior Java Software Engineer - Java 11+, Spring, Spring Boot, Microservices, Kafka, Akka, Docker/Kubernetes, Real-time, TDD/BDD, Payments - London A Senior Java Engineer with a background in finance/payments and experience working on distributed real-time systems is sought after by a global Fintech. This organisation specialises in providing high performance technology solutions to global … engineering, currently working with Java 11+ Indepth knowledge of microservices architecture and usage of Spring/Spring Boot Experience developing distributed, real-time applications (with Akka AND/OR Kafka) with an appreciation of topics such as Concurrency and multithreading. Experience of Reactive Programming Techniques in conjunction withasynchronous event processing and data streams, with tools such as Spring Webflux More ❯

optimization (MySQL, PostgreSQL, AWS Aurora) and using AWS. Proficiency in CI/CD practices, Git/Gitlab, and working in a virtualized environment. Experience with authorization/authentication services, Kafka/messaging middleware, and migrating from legacy software. What we offer: We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to More ❯

. Competency in using Git, CI/CD platforms, Docker and Kubernetes. Familiarity with More than one of: C#, Java, Python, and C++ Databases such as: MSSQL, Postgres, Redis Kafka/RabbitMQ or similar event-based platforms Data structures and design/analysis of algorithms Not required, but a bonus Fixed Income products and Interest Rate derivatives (including Risk More ❯

comfortable making key decisions. Powerful collaborator who works well across departments. Our stack AWS as our cloud compute platform Kubernetes (EKS) for container runtime and orchestration RDS (PostgreSQL, MySQL), Kafka, Redis Terraform for infrastructure as code Lambda and Step Functions Datadog for Observability Github actions for CICD Frontend is React Backend services are developed in NodeJS (TypeScript) As we More ❯

backend services using Java and Spring. Work with databases, including SQL (e.g., Postgres) and NoSQL (e.g., DynamoDB). Build, test, and optimize technical solutions. Develop event-driven systems leveraging Kafka for messaging. Work closely with cross-functional teams, including frontend engineers, UX, and product management. Contribute to architectural decisions, ensuring maintainability, scalability, and high performance. Take full ownership of More ❯

software engineering, ideally with a focus on financial systems or markets Exceptional product mindset, able to balance customer-centric and data-driven approaches Expertise in messaging systems such as Kafka Proficiency in Java and Spring Boot is highly valued Experience with both relational and non-relational database design, including SQL query optimization Commitment to continuous improvement and knowledge sharing More ❯

productivity effectively and managing teams of 5-15 developers. Experience with modern technologies and data engineering platforms (Java/.NET, AWS/Azure, microservices, CI/CD pipelines, IaC, kafka, Databricks etc) as well as modern enterprise and integration architectural patterns. Excellent communication, influencing, and negotiation skills, comfortably engaging with senior stakeholders to ensure successful outcomes. Client-focused, collaborative More ❯

cloud computing. • You have additional nice-to-have experience in the following areas: database engines (Microsoft SQL Server, Aerospike, Vertica, Redis), building micro-services, operating systems and cloud, Kubernetes, Kafka, EMR, Spark. A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not More ❯

models using orchestration tools (e.g. Flyte, Airflow). Manage ML pipelines on AWS with containerized services and CI/CD deployment via GitHub Actions. Implement streaming data processing using Kafka for real-time content moderation decisions. Monitor model performance and drift using observability tools (e.g. Arize AI). Collaborate with teams using Scala-based services and maintain API integrations … and deployment. Experience with AWS cloud services (Lambda, ECS, ECR, SageMaker, MSK, SNS, SQS). Familiarity with ML orchestration platforms and CI/CD pipelines. Knowledge of streaming technologies (Kafka) and high-volume data processing. Experience with NLP, LLMs, and production ML monitoring tools. Ideally with strong a Software Engineering or Computer Science background. Willingness to work with Scala More ❯

cloud native architecture and cloud integration with telco services. • Comfortable with virtualisation and container orchestration technology. • Experience designing RESTful APIs. • Experience with streaming and messaging systems such as gRPC, Kafka and RabbitMQ. • Experience designing and interfacing with user portals. • Experience with monitoring, telemetry and observability technology and patterns. • Understanding of BSS/OSS systems and their integration with network More ❯

Join to apply for the Data Architect role at Supermercados Guanabara 4 days ago Be among the first 25 applicants Join to apply for the Data Architect role at Supermercados Guanabara Get AI-powered advice on this job and more More ❯

following key abilities or experience: Deep technical expertise in at least one data ecosystem (e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance More ❯

platform. Proven experience in architecting and leading at least two full-cycle Braze implementations. Proven experience with Docker, Kubernetes, Terraform, or similar IaC technologies Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies Experience with data integration, including ETL processes and customer data platforms (CDPs). Comprehensive awareness of various marketing technology platforms like CRM, DAM, dynamic More ❯