1 to 25 of 59 Permanent Kafka Jobs in the South East

them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience/awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and More ❯

or analytical systems. API & Micro services Architecture: Comfortable working with REST APIs and micro services architectures. Real-time Stream Processing: Understanding of real-time stream processing frameworks (e.g., PubSub, Kafka, Flink, Spark Streaming). BI Tools & Visualisation Platforms: Experience supporting BI tools or visualization platforms (e.g. Looker, Grafana, PowerBI etc.). Data Pipelines & APIs: Experience in building and maintaining More ❯

Java frameworks like Spring Boot, RESTful API design, microservices architecture, and integration with databases (SQL/NoSQL) and working with at least one messaging platform (MQ/TIBCO/Kafka/Solace) Solid skills with RDBMS like Oracle or similar (e.g., MS-SQL, PostgreSQL) Camunda BPM for workflow orchestration and process automation, including BPMN 2.0 Ability to think strategically More ❯

CI/CD pipelines and DevOps practices is a plus. Experience with TypeScript. Familiarity with GraphQL or other modern data-fetching technologies. Experience in integrating message brokers (e.g., RabbitMQ, Kafka). Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of microservices architecture and related tools. Experience with testing frameworks like Mocha, Chai, or Jest. Familiarity with More ❯

Java, Spring boot, JPA, SQL, REST and modern front-end technologies like React, Angular, TypeScript, CSS, HTML, NodeJS, NextJS Experience with working on micro services, distributed architecture, Kubernetes and Kafka Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes More ❯

on experience with Docker, Kubernetes, and cloud environments (AWS/GCP). Familiarity with Terraform, Helm, ArgoCD, or GitHub Actions. Experience with databases (PostgreSQL, MongoDB, Redis) and message queues (Kafka, RabbitMQ, NATS). Solid grasp of monitoring stacks (Prometheus, Grafana, ELK) and CI/CD principles. Bonus Points Experience in AI/ML infrastructure or large-scale distributed systems. More ❯

/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of messaging systems (Kafka, RabbitMQ, Pub/Sub). Excellent communication and analytical skills. Nice to have: Telecom-specific protocols (SMPP, SIP), OSS/BSS integrations, or network APIs. Event-driven systems, CQRS More ❯

in using Spring Boot or Micronaut. Kotlin experience is a bonus. If the applicant does not have experience they must show willingness to learn Kotlin. Hands-on knowledge of Kafka, event-driven architecture, enterprise integration patterns and Microservices. Solid understanding of payment systems and PSP integrations, including fraud, tokenisation, and settlement flows. Experience with cloud infrastructure (Azure preferred), CI More ❯

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Global Technology division, you will serve as a seasoned member More ❯

technology. Requirements include at least 7 years of professional software development experience, with a focus on Backend engineering. Our backend tech stack currently includes: Go Protobuf gRPC PostgreSQL Redis Kafka Docker Full CI and automated deployments using Kubernetes and Ansible to multiple cloud providers We are committed to using the best technology for the task at hand. Other technologies More ❯

file systems Experience in infrastructure automation using Ansible, Terraform, Bash, Python, etc. Experience with containers and platforms such as Docker, Kubernetes, etc. Experience with administration RabbitMQ/Nats/Kafka Experience with administration of SQL/NoSQL databases Good writing and verbal communication skills to ensure efficient communication within and outside the team and to explain your decisions Ability More ❯

powers the Chase UK bank that is trusted by over 2 million customers. You will be exposed to a wide spectrum of technologies such as Kubernetes clusters, connectivity, databases, kafka clusters, as well as numerous opportunities to create automations to eliminate toil and improve developer experience. We're looking for people who have a curious mindset, thrive in collaborative More ❯

on Backend engineering. We would like you to sync with our backend tech stack, which currently comprises of a micro-service architecture built using: Go Protobuf gRPC PostgreSQL Redis Kafka Docker Full CI and fully automated deployments using Kubernetes and Ansible to multiple cloud providers We are committed to using the best technology for the task at hand. Other More ❯

Spark). · Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc · Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka/· Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic etc Given that this is just a short snapshot of the role we More ❯

NICE FOR THE SENIOR SOFTWARE ENGINEER TO HAVE.... Cloud based experience Microservice architecture or server-less architecture Big Data/Messaging technologies such as Apache Nifi/MiNiFi/Kafka TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly to For further information please call me on . I can make myself available outside of More ❯

technical expertise across: Cloud: AWS, Azure IaC: Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang Strong networking fundamentals, especially OSI layer 3+ and distributed performance optimisation. Experience operating global/multi-region cloud infrastructure, navigating More ❯

excellent knowledge of Relational Databases (SQL Server/MYSQL/Oracle) Experience with communication protocols like GraphQL, GRPC Experience with asynchronous pub-sub message bus architectures such as RabbitMQ Kafka or equivalent Experience with C CLI Experience with Python More ❯

team members and partners are in various time zones and locations Ability to take initiative, identify opportunities and implement change Expertise in Java Message Service (JMS) Strong background in Kafka and Confluent Platform Proficient in MongoDB for scalable data solutions Skilled in secure DevOps practices and cloud deployment automation Advanced capabilities in test automation frameworks and tools Posting End More ❯

SLAs and progressive degradation Ability to deliver end-to-end: design build deploy support Experience with CI/CD tooling (GitHub Actions, ArgoCD), Terraform and cloud workflows Familiarity with Kafka and database migrations (CockroachDB RDS) is beneficial Comfortable contributing to React/TypeScript when required Strong communication, collaboration and problem-solving skills Experience mentoring mid-level engineers and modelling More ❯

PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge More ❯

strong desire to learn, it's one of our most important technologies Expertise in automated testing and a TDD approach Strong knowledge of common design patterns; Some familiarity with Kafka and Debezium and event handling patterns Experience deploying and operating software in a cloud environment including Kubernetes You'll thrive here if... You're fuelled by purpose, not just More ❯

within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service More ❯

job as needed Ability to creatively solve problems and find solutions to challenges Small company can-do mentality Ability to work calmly under pressure Desired Skills: Docker Linux Microservices Kafka Azure or other Cloud applications Machine Learning More ❯

Kubernetes Working with AWS (EKS, EC2, S3) and Docker Writing clean, secure, test-driven code in an agile team Bonus experience (not essential): AI/ML concepts, Redis, Rust, Kafka/NATS, Robot Framework, Linux networking. You'd be based out of their Romsey site 3 days per week (2 remote). Due to the nature of the work More ❯

to engage users, challenge requirements, and design smarter solutions. A pragmatic, delivery-focused mindset with an interest in clean architecture and software craftsmanship. (Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motorsport, or real-time data environments). Click the ‘Apply’ button to find out more. More ❯