1 to 25 of 38 Kafka Jobs in Cheltenham

critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation , or AWS CDK . Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems). #J-18808-Ljbffr More ❯

of cloud services such as AWS. Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices. Experience with Kafka, RabbitMQ, or similar messaging technologies. Familiarity with monitoring tools like Prometheus and Grafana, and logging frameworks. Knowledge of DevOps principles and practices. Strong analytical More ❯

Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience with RPC, REST, gRPC Experience/knowledge of Azure and Azure Resources or other SAAS/PAAS platforms More ❯

handling of sensitive data (e.g. GDPR) Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing More ❯

strict compliance standards. Desirable: Active security clearance (UK*C/EDV). Experience in defence, intelligence, or national security projects. Knowledge of messaging systems (Kafka, JMS), microservices architecture, or container technologies (Docker, Kubernetes). Familiarity with cloud platforms used in secure environments (e.g., AWS GovCloud, Azure Government). #J More ❯

resiliency, and security practices Solid understanding of key technologies such as cloud, AI/ML, or mobile platforms Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications: Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous More ❯

Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum More ❯

databases, big datasets and natural language processing in AWS. Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure. Helping an energy customer to maintain critical infrastructure by developing a data processing application, database and API to store 40 years of More ❯

Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience More ❯

SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help spearhead their More ❯

Bring Deep expertise in .NET/C#, AWS, microservices, and distributed systems. Strong leadership and mentoring skills. Proficiency with messaging systems (SNS/SQS, Kafka), CI/CD, and container orchestration (EKS/Kubernetes). Passion for craftsmanship and engineering excellence. Bonus if you have experience in healthcare/ More ❯

experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and More ❯

and financial goals Shape the future of AI - influencing architecture, research, and cross-team learning. SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g. LLM, NLP) Clear passion for AI – side projects, research or professional experience Excellent communication More ❯

meetings and supporting colleagues and co-workers Estimation of work Write and run SQL queries to inspect backend-consumed data Our technology stack includes Kafka, Kubernetes, Docker, Clickhouse, Git, and DevOps Experience & Qualities The ideal candidate wants to work on both front and back end projects. Keen to learn More ❯

clear technical docs. Familiarity with RESTful microservices & modern DevOps workflow. Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, IaC (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, open-source or community contributions Doc1. ? Package Snapshot £50–55 k salary + up to 10 % bonus More ❯

Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Preferred Education Bachelor More ❯

MuleSoft or Power Automate Deep knowledge of SQL, REST, JSON, XML Experience in Agile, API security, and cloud integrations Nice to Have MuleSoft CloudHub Kafka or similar pub-sub systems Finance industry experience Generous leave + private medical Enhanced parental policies Pension & bonuses Want to help shape smarter systems More ❯

experience with Azure-based development; AWS knowledge is a plus Familiarity with integration tools like Postman, API Management, and cloud messaging (e.g., Service Bus, Kafka) Solid grasp of testing strategies, design principles (SOLID, DRY), and microservice architecture Proactive mindset with excellent communication and time-management skills Why You'll More ❯

including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on More ❯

will work alongside experienced developers who will be happy to support your growth Key requirements: Experience with Node.js Familiarity with message brokers like SNS, Kafka, or similar. AWS. Interest working with data would be a bonus. If you’re a Software Engineer who has a real interest in software More ❯

will have extensive experience with the ELK technology stack and technical delivery, providing technical leadership to the build team. Experience with Splunk, databases, MQ, Kafka, DevOps, CI/CD pipelines, and payments domain knowledge would be advantageous. #J-18808-Ljbffr More ❯

the below areas: Infrastructure as Code – (Ansible or similar) LDAP integration Experience of/understanding of Red Hat Openshift Experience of/understanding of Kafka Network and infrastructure security concepts Agile project management methodologies and scrum agile framework Regulatory environments such as PCI and GDPR Network and infrastructure security More ❯

key part in that journey? We're looking for a Senior Backend Engineer, proficient in Typescript & Node, with experience in relational databases, messaging (PostgreSQL, Kafka/RabbitMQ) and cloud platform experience. Experience in the space and a web3 stack isn't essential, but a keen interest and best engineering More ❯

based Linux systems running in a private cloud environment. Monitor, troubleshoot, and improve performance across systems and services. Manage production databases (PostgreSQL, Cassandra, Redis, Kafka) with a focus on reliability and scalability. Work on network infrastructure — including WireGuard tunnels, BGP configuration, and general network troubleshooting. Contribute to internal tooling More ❯