51 to 75 of 317 Kafka Jobs in England

based and event-driven integration of AI platforms with enterprise systems, using REST/gRPC APIs and message/event streaming platforms (e.g. Kafka). Enterprise network integration: designing connectivity between AI/GPU infrastructure and existing campus, data center, and WAN environments, including capacity and latency planning ...

Mongo, Redis, Object) Experience with async and bi‐directional communication protocols and patterns (eg. WebSockets, SSE) Designed and implemented event‐driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Actively utilising and experimenting with AI development tools (eg. Claude, Copilot, Cursor) to speed up iteration, prototyping ...

lazy loading and code splitting Experience using AI development tools (e.g., GitHub Copilot) within engineering workflows Nice to Have Event-driven architecture experience (Kafka, async patterns) Observability tools (Prometheus, Grafana, ELK) Frontend security (OAuth2, JWT) Automated testing frameworks (Cypress, Playwright, Jest) Design systems and tooling (Storybook, Figma) Experience ...

Boot for building microservices. Strong expertise with relational databases (Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful ...

Boot for building microservices Strong expertise with relational databases (Oracle) and data modelling expertise (canonical data models, JSON) Deep experience with enterprise messaging platforms (Kafka, IBM MQ) Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems Full‐stack development experience (RESTful APIs ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...

design. Experience with cloud platforms and containerization technologies. Strong knowledge of modern programming languages (e.g., Java), database technologies (Oracle, MSSQL), and messaging systems (e.g., Kafka). Expertise in building and scaling data‐intensive applications and data analytics platforms. Leadership & Management Exceptional leadership and communication skills, with the ability ...

Experience with cloud platforms and containerization technologies. + Strong knowledge of modern programming languages (e.g., Java), database technologies (Oracle, MSSQL), and messaging systems (e.g., Kafka). + Expertise in building and scaling data-intensive applications and data analytics platforms.* **Leadership & Management:** + Exceptional leadership and communication skills, with ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

lifecycleDesired experience:Writing high quality code in TypeScript, Scala, Java, Kotlin or another JVM languageRelational databases, ideally PostgresNoSQL datastores (e.g. DynamoDB)Stream processing: (e.g. Kafka)Experience building scalable web applications serving 10,000s of requests per secondDevOps cultureAbility to proactively find and solve complex problems independently, but also know ...

ExperienceWriting high-quality code in Scala, TypeScript, Java, Kotlin or another JVM languageRelational databases (e.g. Postgres, MySQL)NoSQL datastores (e.g. DynamoDB)Stream processing (e.g. Kafka)Experience building scalable web applications serving 10,000s of requests per secondDevOps culture (CI/CD pipeline)Ability to proactively find and solve complex ...

multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems APIs & Integration … REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk ...

platform components using Java 8+/Spring Boot and Python/FastAPI. Build, enhance, and operate event‐driven, real‐time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java‐based APIs … preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud‐native, distributed, scalable, and resilient systems. Hands‐on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

ESXi Infrastructure as Code (Terraform, Ansible) Docker and Kubernetes AWS and/or Azure Atlassian toolset Concourse CI/CD Elasticsearch/Kibana Apache Kafka Helm MongoDB Enterprise web applications and services TOGAF, MODAF or model-based systems engineering Networking monitoring and Red Hat migrations What's on Offer ...

SAML Experience deploying cloud-native services on AWS with containerized infrastructure and Kubernetes Experience with message queuing systems such as RabbitMQ or Apache Kafka Demonstrated AI/agentic-tooling fluency per the section above Bachelor’s or Master’s degree in Computer Science, Electronics, Communications, or a related field ...

Kubernetes and containerised deployments. Strong understanding of CI/CD, observability and modern software delivery practices. Desirable skills Experience with event-driven architectures (Kinesis, Kafka or similar). Experience leading technical projects. Previous mentoring or people management experience. Experience modernising legacy platforms. Experience collaborating with international engineering teams. ...

/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready ...

Essential Skills for the Principal .NET Engineer: Deep hands‐on expertise in ASP.NET Core, Web API, C#, Entity Framework Strong experience with Azure, Kubernetes, Kafka and Microservices architecture Experience with MongoDB, cloud integrations and distributed systems Strong knowledge of JavaScript/TypeScript Experience using Terraform/Infrastructure as Code ...

500k+ monthly active users Build and optimise RAG pipelines, including chunking strategies, embedding generation, and vector store management Architect event-driven microservices using Kafka/SQS for async processing of high-volume inference requests Implement observability and cost-tracking for token usage across multiple LLM providers (Anthropic, OpenAI, open ...