6 of 6 Kafka Jobs in Oxfordshire

technologies: Python, Java, Spring/Spring Boot, SQL, with a willingness to learn the others. Demonstrate proficiency in distributed and event-driven solutions using Kafka and AWS cloud services. Display experience with build tools, Git, and continuous integration (GitHub Actions/Jenkins) Enjoy collaborating with team members to create ...

Strong knowledge ofinfrastructureas code, automation, CI/CD, monitoring, logging, networking,virtualisation, storage, backup, WindowsServerand Linux system administration. Experience with Kubernetes, container platforms,secretsmanagement, Kafka or ELK/Elastic-based monitoring and logging platforms. Understanding ofcybersecurity, access management, data protection and compliance requirements for cloud and AI-enabled services. ...

GitHub Actions. Experience with Lambda, ECS and Fargate. Good knowledge of AWS security, IAM, KMS and incident response. Experience with data pipelines using Kinesis, Kafka or similar. Proficiency in TypeScript and some Python. Strong communication skills and ability to take technical ownership. Experience with AWS Bedrock or other ...

data modelling Experience with cloud platforms (AWS, Azure) and cloud-native data services Familiarity with RESTful APIs, JSON, XML, OData, and message queues (Kafka) Knowledge of data governance, security, and compliance best practices Preferred Skills: Experience with cloud-based database solutions. Understanding of data lifecycle management and SOC2 security ...

TypeScript — experience with control systems or telemetry is a strong advantage Solid knowledge of distributed systems and real-time streaming technologies such as Kafka or WebSockets, plus familiarity with a range of data persistence approaches including relational, document, and time-series stores Confidence with modern DevOps practices including ...

itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments. … validation at the edge before data reaches the cloud. Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines. Turn streams of robot state, instrument output and video into structured database ...