19 of 19 Permanent Kafka Jobs in Dorset

database resiliency, recoverability, scalability, and security. Experience designing, building, or modifying a complex distributed application with stringent non-functional requirements. Experience with event-driven architecture and distributed messaging technologies (Kafka). Awareness of key architectural patterns/approaches. Knowledge of algorithms, data structures, and cryptography. Passion for technical innovation and staying up to date with emerging technologies. Understanding of More ❯

all aspects of the software development lifecycle, including but not limited to - refinement of requirements, estimation & planning, platform design & implementation, test & deployment automation, and platform resiliency & support. Primary Skills Kafka, IBM MQ Java Spring Boot Big File handling Exposure to modern microservice architecture Good to have skills Microservices CI/CD AWS- S3, EKS, SQS More ❯

all aspects of the software development lifecycle, including but not limited to - refinement of requirements, estimation & planning, platform design & implementation, test & deployment automation, and platform resiliency & support. Primary Skills Kafka, IBM MQ Java Spring Boot Big File handling Exposure to modern microservice architecture Good to have skills Microservices CI/CD AWS- S3, EKS, SQS More ❯

and problem-solving skills are crucial for troubleshooting issues and identifying root causes. Working experience on Micro-Service architecture based application using Java and Spring Technical knowledge of Database, kafka and REST paradigms Good understanding of SDLC, continuous build and integration ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the More ❯

Development (TDD) using JUnit, Mockito CI/CD: Experience with Jenkins or similar pipelines Collaboration: Agile working with cross-functional teams Desirable Skills: Frontend experience with React & TypeScript Messaging: Kafka Build tools: Gradle Database versioning: Liquibase API Design: Swagger/OpenAPI This role is ideal for engineers looking to build on their SC clearance and gain NPPV3 eligibility, while 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 … and 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 ● Proficiency in infrastructure as code (Terraform preferred). ● Familiarity with monitoring stacks (Prometheus, Grafana, ELK, etc.) and system tuning. ● Security-conscious mindset; experience implementing controls More ❯

Job Title: Oracle DB Full stack Developer Location: Bournemouth Work mode: Hybrid (twice a day) Job Description: We are looking for a Full stack Developer with expertise in Oracle DB, Unix shell scripting, message broker DevOps, and agile methodologies. Should More ❯

Join to apply for the Oracle DB Full stack Developer role at Natobotics . Job Title: Oracle DB Full stack Developer Location: Bournemouth Work mode: Hybrid (twice a day) Job Description We are looking for a Full stack Developer with More ❯

and problem-solving skills are crucial for troubleshooting issues and identifying root causes. Working experience on Micro-Service architecture based application using Java and Spring Technical knowledge of Database, kafka and REST paradigms Good understanding of SDLC, continuous build and integration #J-18808-Ljbffr 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 ❯

Participate in on-call rotation to ensure 24/7 coverage of global trading systems Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo Candidate Requirements Years experience in financial technology support, preferably in electronic trading Strong understanding of market data structures and exchange connectivity Linux/Unix system administration skills … or similar languages Knowledge of monitoring tools and alerting frameworks SQL experience including queries/updates/table creation/basic database maintenance Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity to More ❯

in technical documentation. Familiarity with RESTful microservices and modern DevOps workflows. Skills in Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, Infrastructure as Code (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, and open-source or community contributions are required. Package Snapshot £50–55k salary + up to 10% bonus, 25 days holiday, private health More ❯

bonuses and unlimited holiday. What you’ll bring Experience with Node.js and Typescript on large-scale microservices architectures. Extensive work on high-traffic, distributed systems. Knowledge of Kubernetes and Kafka or RabbitMQ. Deep understanding of AWS and related tools. Strong Computer Science fundamentals. Ability to work fully remote in a B2B capacity. We are committed to inclusivity. Please inform More ❯

Lead Data Scientist (Equity Only) - 1% Job Description As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will collaborate with cross-functional teams to develop data-driven solutions and 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 ❯

also migrating a few of our endpoints from Python to Go. Skills in testing, SOLID and design patterns are a must. Systems architecture. We make extensive use of Kubernetes, Kafka, and Postgres, with internal tools for metrics/alerting and Grafana for dashboarding. We also use Redis in few of our services. Work cross-functionally with product, design, and 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 ❯

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 ❯