1 to 25 of 84 Remote Kafka Jobs in the South East

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like Celery or Kafka Familiarity with CI/CD pipelines, Docker, and DevOps workflows Experience designing or integrating authentication and authorisation systems (e.g., OAuth2, JWT) Success Metrics Deploy secure, scalable, and maintainable full More ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high More ❯

Umbrella Clearance required: SC Duration: 4 Months Location: Croydon (Mostly Remote) Job Description: Senior Engineer with either full stack (Java/React/Node.js) or backend (Java and ideally Kafka) Experience of Java Experience of Spring framework or equivalent. Knowledge of software design patterns and when to apply them Excellent knowledge of development processes. Experience of containerisation using Docker More ❯

principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and Python for mathematical processing. Experience with Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience More ❯

modern, enterprise-grade tech stack designed for scale, resilience, and agility. Frontend: React.js (Hooks, Context API) TypeScript Redux Cypress, Jest Backend: Java 11+ Spring Boot RESTful APIs Microservices PostgreSQL Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring with CloudWatch, Kibana Why You'll Love Working Here This isn't just a role-it's More ❯

across full-stack solutions with real-world impact Your Tech Arsenal Frontend: React.js (Hooks, Context API), TypeScript, Redux, Cypress, Jest Backend: Java 11+, Spring Boot, RESTful APIs, Microservices, PostgreSQL, Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch), CI/CD (Jenkins), Monitoring (CloudWatch, Kibana) Why You'll Love It Here Remote-First Culture - Work from anywhere in the UK? Flexible More ❯

governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

an advocate for automated testing and promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during More ❯

an advocate for automated testing and promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: • Building and improving microservices using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker • Working with your team to design APIs and services that power our mobile experiences • Contributing to technical discussions and helping prioritise features during More ❯

state architecture (Tessa). Strong knowledge and experience with Agile testing processes and methodologies, preferably Scaled Agile Framework or similar. Good experience and skills within streaming technologies like Confluent Kafka, Streamsets, MongoDB, IBM CDC. Knowledge of public/enterprise cloud technologies (AWS EC2, S3 Bucket, GCP, Azure) is advantageous but not required. Some skills/experience with automated testing More ❯

Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage, and database resources. Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic modeling and the valuation of financial derivatives. Domain expertise in derivatives within energy commodities-especially More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application deployment with Kubernetes. Demonstrated experience building ML solutions from concept to delivery. Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus More ❯

programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application deployment with Kubernetes. Demonstrated experience building ML solutions from concept to delivery. Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus More ❯

programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application deployment with Kubernetes. Demonstrated experience building ML solutions from concept to delivery. Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus More ❯

and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your life outside work as how you feel when youre with us. Because your job shouldnt take over More ❯

team, is responsible for the implementation and administration of the infrastructure for the Video On Demand (VOD) content. The infrastructure consists of many technology stacks, i.e., AWS, GCP, Cassandra, Kafka, etc. which provides a great opportunity to learn and develop code to implement and administrate the technologies What you'll do Be the Lead on multiple delivery projects while More ❯

team, is responsible for the implementation and administration of the infrastructure for the Video On Demand (VOD) content. The infrastructure consists of many technology stacks, i.e., AWS, GCP, Cassandra, Kafka, etc. which provides a great opportunity to learn and develop code to implement and administrate the technologies What you'll do Be the Lead on multiple delivery projects while More ❯

team, is responsible for the implementation and administration of the infrastructure for the Video On Demand (VOD) content. The infrastructure consists of many technology stacks, i.e., AWS, GCP, Cassandra, Kafka, etc. which provides a great opportunity to learn and develop code to implement and administrate the technologies What you'll do Be the Lead on multiple delivery projects while More ❯