51 to 75 of 130 Kafka Jobs in the UK excluding London

respect Design, build, and maintain automation frameworks for trading systems covering UI, API, and microservices layers Ensure quality across low-latency applications, FIX protocol-based APIs, and messaging middleware (Kafka, MQ, or GraphQL) Integrate test automation into CI/CD pipelines using Jenkins for continuous validation and deployment Execute performance testing processes, collaborating with teams across Lines of Business 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 ❯

learning about Gravitee DESIRED SKILLS - Additionally, these skills are not required, but are preferable: Understanding of Event Driven Architectures and APIs Understanding of OAuth2 and OpenID Connect Knowledge of Kafka, gRPC, GraphQL Hands-on experience with LLMs or AI Agent frameworks or platforms Some scripting experience, ideally with Java or JavaScript/Python AT GRAVITEE, YOU'LL GET... Excellent More ❯

ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI, Django, Airflow, Kafka, ETL, CI/CD, experience with some or all would be beneficial but you'll pick it up on the job What's in it for you: Salary to 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 ❯

delivery Excellent problem-solving, autonomy, and commitment to engineering best practice Collaborative mindset and continuous-learning approach Desired Financial services or regulated-industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) Collibra integration Python proficiency In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working 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 ❯

most incredible teams in history, we strive to achieve this with strong collaboration and communication (with our engineers). Tech Stack: Docker in production and local development AWS EKS Kafka for our asynchronous message queues Elixir/Ruby for main services NextJS/Typescript for our frontend services RDS PostgreSQL for persistent data storage GitHub Action as CI tool 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 ❯

onboarding to get up to speed in the below: Go to write our application code (there's an excellent interactive Go tutorial here) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services Envoy Proxy for RPC AWS for most of our production infrastructure and GCP for most More ❯

and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including 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 ❯

CD practices and quality assurance processes. Ability to mentor and guide other engineers; comfortable stepping up to lead when required. Active SC Clearance (essential). Desirable: Experience with WireMock , Kafka , or other service mocking/event-driven test tools. Familiarity with CI/CD tooling (e.g. Jenkins, GitLab, Bamboo). 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 ❯

data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working in Agile/Scrum environments. To apply for this role 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 ❯

with TypeScript, NestJS, Sequelize ORM, GraphQL, REST APIs Frontend expertise with ReactJS, NextJS, Typescript, Chakra UI Experience with MySQL and NoSQL databases Familiarity with messaging/event-driven systems (Kafka) Ability to work closely with designers (Figma) and translate complex business logic into intuitive UI/UX Problem-solver with strong debugging, troubleshooting, and optimisation skills Thrives in high More ❯

warehousing principles. Experience working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up More ❯

Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.) Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs. Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.) Experience managing data More ❯

What you bring: 8-10+ years of professional experience in software engineering You have strong technical skills and solid conceptual foundations. Experience with Typescript, React, CSS, Node.js, gRPC, Kafka, Mongo DB, GraphQL. You're passionate about Distributed Software, Cloud solutions, Microservices, Domain Driven & Serverless Architectures . You are committed to building highly reliable & scalable systems. You are eager More ❯

in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau More ❯

in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau More ❯

to a scalable and maintainable data platform To be successful in this role, you will need to have the following qualifications: Experience with Big Data Technologies such as Spark, Kafka in a customer-facing post-sales, technical architecture or consulting role Experience working on Big Data Architectures independently Comfortable writing code in Python Experience working across Azure including Azure More ❯