1 to 25 of 29 Kafka Jobs in High Wycombe

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 ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

on 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 technologies. · Familiarity with monitoring tools (eg - Prometheus, Grafana) and logging frameworks · Knowledge of DevOps principles and practices. · Strong analytical and problem 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 ❯

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 ❯

a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning 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 ❯

JUnit, Mockito CI/CD: Experience with Jenkins or similar pipelines Collaboration: Agile working with cross-functional teams Frontend experience with React & TypeScript Messaging: Kafka Build tools: Gradle API Design: Swagger/OpenAPI This role is ideal for engineers looking to build on their SC clearance and gain NPPV3 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 ❯

Documentation Participate in team meetings and support colleagues Estimate work efforts Write and run SQL queries to inspect backend data Our technology stack includes Kafka, Kubernetes, Docker, Clickhouse, Git, and DevOps. Experience & Qualities The ideal candidate is interested in both front-end and back-end projects. Keen to learn More ❯

with RESTful microservices & modern DevOps workflows. Technologies & Concepts Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, Infrastructure as Code (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 architecture expertise, open-source or community contributions. Package Snapshot £50–55k salary + up to 10% bonus, 25 days 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 ❯

management and communication skills. Ability to manage multiple priorities in a fast-paced, evolving landscape. Experience with relevant technologies (e.g., Azure Integration Services, MuleSoft, Kafka, etc.) is advantageous. A proactive mindset with a focus on continuous improvement and innovation. Competitive benefits package designed to support your wellbeing and lifestyle. More ❯

legacy-to-cloud migration strategies Hands-on experience with AWS, Azure, or GCP and familiarity with cloud-native tools such as AWS Glue, DMS, Kafka, Azure Data Factory, and Google Dataflow Proven success in creating end-to-end client proposals—including resource planning, cost estimation, and high-level architectural More ❯

new technologies Additionally, experience in at least three of the following areas is preferred: Infrastructure as Code (e.g., Ansible) LDAP integration Red Hat OpenShift Kafka Network and infrastructure security Agile methodologies and Scrum Regulatory environments such as PCI and GDPR Working with third parties/suppliers Our Customer First 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 ❯

Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering … for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services (AWS or Azure). Hands-on experience with More ❯

. In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to be … Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools #J-18808-Ljbffr More ❯