18 of 18 Kafka Jobs in Buckinghamshire

systems and third-party applications using modern integration platforms (e.g., MuleSoft, Boomi, Azure Logic Apps). Developing features and improvements to our internal applications using Java, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, Docker. Collaborating with internal contacts and the team to find solutions to complex problems. Contributing to key decisions, including which features to include during team More ❯

scalable and resilient systems. Core 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/Kanban methods, Automated testing More ❯

scalable and resilient systems. Core 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/Kanban methods, Automated testing More ❯

. Harden infrastructure and deployments with infrastructure as code (Terraform/CDK/CloudFormation). Lead incident response, system reliability efforts, and infrastructure scalability initiatives. Manage messaging queues (e.g., Kafka, RabbitMQ) and optimize for low-latency event handling and throughput. Contribute to evolving our security posture, including secrets management, access controls, and audit logging. Qualifications: Bachelor's degree in … containerized environments (Docker). Deep understanding of CI/CD best practices and hands-on experience with tools like GitHub Actions, CircleCI, or similar. Experience with messaging systems (RabbitMQ, Kafka, etc.) and event-driven architectures. Proficiency in infrastructure as code (Terraform preferred). Familiarity with monitoring stacks (Prometheus, Grafana, ELK, etc.) and system tuning. Security-conscious mindset; experience implementing More ❯

mindset.You'll also have: Proven experience in PHP or Python development, with strong knowledge of frameworks like Laravel and design patterns such as MVC Experience working with microservices, Apache Kafka, and event-driven architecture A track record of mentoring developers and leading technical initiatives in Agile environments Familiarity with DevOps practices, CI/CD pipelines, and tools like Git More ❯

team technical initiatives. ? What You 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/clinical systems, semantic search, or More ❯

team technical initiatives. ? What You 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/clinical systems, semantic search, or More ❯

Service and SaaS to onboard new business services. The key responsibilities: Hands-on applications design using Angular, Java Open JDK, Springboot, Camunda, Keycloak, RDS/Postgres, Jira/Confluence, Kafka technologies Hands-on Infrastructure provisioning and maintenance of AWS (ECS/Fargate, Cloudwatch, etc), Github, Terraform/Terragrunt, CI/CD, Jenkins Technical application design using Microservices based architecture More ❯

clearly in technical documentation. Familiarity 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 holiday, private health & life assurance More ❯

Social network you want to login/join with: Lead Data Scientist (Equity Only) - 1%, High Wycombe Client: Location: High Wycombe, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job More ❯

trust Competitive salary, bonus, and unlimited holiday benefits Qualifications: Commercial experience with Node.js and Typescript in large microservices architectures Experience with high-traffic, distributed systems Knowledge of Kubernetes and Kafka or RabbitMQ Understanding of AWS and related tools Strong fundamentals in Computer Science Ability to work fully remotely in a B2B capacity We promote inclusivity and welcome accessibility adjustments More ❯

you’ll bring Solid commercial experience with Node.js and Typescript on large scale microservices architectures Extensive work on extremely high-traffic, distributed systems Good knowledge of Kubernetes and either Kafka or RabbitMQ Deep understanding of AWS and related tools Strong Computer Science fundamentals Happy working fully remote in a B2B capacity -- We make an active choice to be inclusive More ❯

Strong background in data architecture , 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 estimation and managing its impact More ❯

Strong background in data architecture , 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 estimation and managing its impact More ❯

high-quality data solutions aligned with company goals. Requirements: 5+ years of hands-on experience in data engineering, including expertise in Python, Scala, or Java. Deep understanding of Apache Kafka for stream processing workflows (required) Proficiency in managing and optimizing databases such as PostgreSQL, MySQL, MSSQL. Familiarity with analytical databases. Familiarity with both cloud solutions (AWS preferably) and on … the implementation of scalable, efficient data pipelines and architectures, with a strong focus on stream processing. Develop and maintain robust data storage and processing solutions, leveraging tools like Apache Kafka, Redis, and ClickHouse. Guide the migration of selected cloud-based solutions to on-premises tools, optimizing costs while maintaining performance and reliability. Collaborate with stakeholders to gather requirements, propose More ❯

maintain their existing systems. You 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 and technology, please apply. #J More ❯

maintain their existing systems. You 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 and technology, please apply. #J More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯