1 to 25 of 47 Kafka Jobs in Yorkshire

proven ability to deliver secure, scalable and maintainable software solutions. Desirable Consultancy experience. Experience delivering projects within Government or NHS environments. Knowledge of Kafka or other event-driven technologies. Experience with Helm. If you're looking for your next challenge as a Senior Full Stack Kotlin Developer and want ...

programmes, including holding a technical position when other suppliers hold a different one Desirable • UK public sector, or another regulated and security-conscious environment • Kafka and change-data-capture tooling such as Debezium; stream processing • Legacy modernisation patterns — strangler fig, operational data layers, dual running and phased cutover • Domain ...

/NHS projects or in a consultancy environment. Experience migrating legacy Java codebases to idiomatic Kotlin. Experience with asynchronous messaging systems (e.g., Kafka) and Kotlin Coroutines/Flow for reactive programming. Familiarity with Kotlin-native frameworks (e.g., Ktor) or functional programming libraries (e.g., Arrow).What makes us greatAlongside working ...

frameworks for GCP-based solutions. Ensure security, scalability, and high availability of applications. Design microservices architecture with RESTful APIs and event-driven patterns (Kafka/Pub-Sub). Good experience in Authentication and Authorisation implementations Good understanding on Fine grain and policy-based authorisation Exposure and deep understanding ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows ...

tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital solutions. Desirable Experience Consultancy, Government or NHS project experience. Knowledge of Kafka or other messaging systems. Knowledge of Helm. What's on Offer Competitive pension scheme. 25 days annual leave plus public holidays. Flexible benefits package ...

what they ship: every service running in production is the direct responsibility of the team behind it. ️ Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like working together in multidisciplinary ...

engineers own what they ship: every service running in production is the direct responsibility of the team behind it. AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin are proficient in designing and architecting microservices systems, including distributed data management and event-driven architectures are skilled ...

what they ship: every service running in production is the direct responsibility of the team behind it. Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like working together in multidisciplinary ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms AWS CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern ...

with frameworks like JUnit Task management tools like JIRA Writing technical documentation for APIs and backend components Proficient with: SQL (PostgreSQL, MySQL, or similar) Kafka or other messaging/event-driven platforms Docker containerization Kubernetes for orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency ...

with frameworks like JUnit Task management tools like JIRA Writing technical documentation for APIs and backend components Proficient with: SQL (PostgreSQL, MySQL, or similar) Kafka or other messaging/event-driven platforms Docker containerization Kubernetes for orchestration AWS services (e.g., S3, Lambda, EC2, etc.) Maven for build and dependency ...

Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Java, Spring boot, React. Expertise in messaging technologies such as Kafka with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

Familiar with UML, OOP, and design patterns. Familiar with AWS services and/or GCP. Proficiency with distributed caching and message‐oriented middleware (e.g., Kafka). Experience with Docker and Kubernetes. Experience running experiments, A/B testing and optimizing for business outcomes. Able to effectively communicate complex technical ...

workflows. Nice to Haves: Web3 Infrastructure: Specific experience in blockchain or decentralised finance (DeFi). Event-Driven Systems: Knowledge of message brokers such as Kafka or NATS. Chaos Engineering: Experience with resilience testing and fault-injection practices. Edge Computing: Familiarity with CDN optimisation and edge-based service delivery. Ecosystem ...

Exposure to containerisation such as Docker or Kubernetes Performance and security testing experience Desirable Knowledge of middleware systems/message queuing systems such as Kafka, IBM MQ, and ACE Knowledge of software architecture technologies such as XBRL, HTML Finance domain experience Excellent opportunity to join a forward thinking organisation ...

. • Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable Criteria • Knowledge of middleware systems (Kafka, IBM MQ). • Experience with ELK stack and reporting tools (e.g., Tableau). • Exposure to CI/CD tools (Github Actions, Jenkins) and version control ...

. • Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable Criteria • Knowledge of middleware systems (Kafka, IBM MQ). • Experience with ELK stack and reporting tools (e.g., Tableau). • Exposure to CI/CD tools (Github Actions, Jenkins) and version control ...

Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost ...

Job Title: GCP Cloud Data Engineer Job Description This role sits within a global Securities Financing Technology function and focuses on designing, building, and operating scalable, resilient cloud-based trading and post-trade platforms. You ...

bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers Graph databases Event-driven systems and messaging platforms such as NATS or Kafka Observability platforms such as Prometheus and Grafana Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together ...

highly available cloud services (e.g., GCP/Azure) Breadth across modern + legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using analytics and AI/ML Opening up a world of opportunity Being open to different points ...

drive your journey. What we’re looking for Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus. Experience in Data Lake/Big Data Analytics platform implementation with cloud based solution ...