51 to 75 of 235 Kafka Jobs in the UK

comfortable with agentic AI coding You're collaborative and pragmatic with great communication and stakeholder management skills Nice to have (not essential): Kafka, Kubernetes, Docker, AWS What's in it for you: Salary to £78k Personalised training budget Pension Healthcare including dental and optical Various wellness experiences, gym subsidy ...

modernising complex technology platforms. Java & Microservices: Strong engineering foundations, ideally including Java, Spring Boot, REST APIs and distributed systems. Event-Driven Architecture: Experience with Kafka, IBM MQ, Solace or similar messaging technologies. Data & Cloud: Oracle, PL/SQL, data integration, AWS and Snowflake. Architecture Governance: Design reviews, architecture standards ...

. Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable skills: Knowledge of middleware systems (Kafka, IBM MQ). Experience with ELK stack and reporting tools (e.g., Tableau). About Peregrine We build workforces that deliver tech and change programmes ...

Clojure).Experience with Airflow or other Python-based workflow orchestration tools. Proficiency in domain-driven design and domain modeling. Exposure to Kubernetes, Docker, Linux, Kafka, RabbitMQ, or git. Working knowledge of SQL, HTML, CSS, and JavaScript. Using AI coding assistants to accelerate development while owning the outcome. Exposure ...

service delivery in production environments. Previous hands‐on experience running large cloud-based website environments with GKE, service mesh, load balancers, CDN/WAF, Kafka, Elasticsearch. Strong understanding of cloud services including networking, compute, storage, containerisation, security and IAM. Experience with IAC, python, Go, CI/CD, Terraform, Kubernetes ...

Software Engineer - Java Key Skills & Experience Strong hands-on experience with Java 11+, Spring and Spring Boot 3.x. Experience developing microservices, REST APIs, Apache Kafka and Kafka Streams. Strong SQL skills and understanding of data modelling, data analysis and dbt. Cloud experience across AWS, GCP or Azure, ideally ...

implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high-volume transactional dataBuild and maintain event-driven architectures using Apache Kafka for asynchronous processing of financial events across distributed servicesDevelop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers to optimize ...

Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding experience, such as PythonReporting ...

systems they work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good ...

systems they work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering In return they're offering ...

microservices. The Tech Stack: Backend: Java (11/17), Spring Boot, Spring Security, Microservices. Frontend: React.js, TypeScript, JavaScript, Redux. Infrastructure & Data: Docker, Kubernetes, Kafka/RabbitMQ, Oracle/PostgreSQL/MongoDB. What You Need: 5+ years of full stack software development experience. Strong foundation in OOP, Design Patterns, Data ...

Patterns, Data StructuresYou're comfortable with agentic AI codingYou're collaborative and pragmatic with great communication and stakeholder management skillsNice to have (not essential): Kafka, Kubernetes, Docker, AWSWhat's in it for you: Salary to 78kPersonalised training budgetPensionHealthcare including dental and opticalVarious wellness experiences, gym subsidy, cycle to work ...

have Edge AI deployment, ideally NVIDIA Jetson and DeepStream Computer vision or video pipelines (e.g. GStreamer) Kubernetes, Kubeflow, Metaflow or similar orchestration tools Kafka or other event-driven architectures Data versioning tools (e.g. DVC, DeepLake) Experience with imagery, geospatial or sensor data Previous defence, government or security-sector programmes ...

EXPERIENCE: You will bring strong capability in: Node.js and TypeScript development. React and Next.js. GraphQL and REST API development. Microservices and event-driven architectures. Kafka or similar messaging technologies. PostgreSQL, MongoDB and Redis. AWS, Docker and CI/CD practices. Strong communication skills and the ability to influence stakeholders ...

backend development Experience with React and/or Next.js for frontend development Strong understanding of GraphQL, REST APIs, and distributed systems Experience with Kafka and event-driven architectures Knowledge of AWS, Docker, and cloud-native development practices Experience working with PostgreSQL, MongoDB, Redis, or similar database technologies Strong communication ...

sOur Tech StackWe use GitHub Copilot for agentic developmentOur services are written in modern C# and RustWe use a fair bit of SQL databases, Kafka, and RabbitMQWe run some services on dedicated hardware and on AWSWe use Azure DevOps for build/deploy pipelines and story managementOur observability stack ...

Kubernetes and cloud technologies such as AWS.Experience with processing large data sets on Elasticsearch or similar data stores. Experience with event-driven architectures (CQRS, Kafka Streams etc).Excellent knowledge of computer science and networking fundamentals. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect ...

open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. ...

helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat we're looking forStrong fundamentals and the ability to apply them pragmatically: Solid programming ability ...

track record of building new systems, replacing legacy systems and renovating existing systemsStrong skill set in SQL/DatabasesStrong understanding of Messaging tech like Kafka, Solace , MQ etc. Writing production scale applications to use the Caching technologies. The candidate will have systems (software, hardware, networks) knowledge required to define ...

it. DesirableCertifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming).Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ ...

Desirable Certifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ ...

Desirable Certifications: Databricks and/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ ...

when you're entering a new product area or marketKnowledge of and experience with Java and Spring Boot, event-driven microservices architectures (for example Kafka) and relational databasesExperience with, or a strong interest in, applying LLMs in production: data extraction, evaluation and observability, and guarding against hallucinationHands-on experience ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI).Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical ...