1 to 25 of 40 Kafka Jobs in Guildford

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 ❯

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 ❯

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 ❯

would be desirable: Postgres, Liquibase for database versioning Containerisation with Docker API design with Swagger/OpenAPI TDD (JUnit, Mockito), high code quality standards Kafka for event-driven architecture React, TypeScript Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. 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 ❯

a focus on delivering strategic value. Proficiency in Cloud technologies (AWS, Azure) and a comprehensive understanding of data technologies, including big data platforms (SPARK, Kafka), relational/non-relational databases (Postgres, MongoDB, Cassandra), open-source languages (Java, Python, Scala), adoption of LLM in the solution Experience in mentoring 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, DevOps Experience & Qualities The ideal candidate wants to work on both front and back end projects. Keen to learn new More ❯

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

Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. #J 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 ❯

for successful implementation. The successful candidate will have extensive experience with the ELK stack, technical delivery, and leadership skills. Experience with Splunk, Databases, MQ, Kafka, DevOps, CI/CD pipelines, and payments domain knowledge would be advantageous. #J-18808-Ljbffr More ❯

with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. #J-18808-Ljbffr More ❯