26 to 50 of 1,158 Permanent Kafka Jobs

tools such as Jenkins or Azure DevOps. Previous experience of working on GOV/NHS projects or in a consultancy environment. Knowledge of Kafka or other asynchronous messaging systems. Knowledge of Helm. About The Company Alongside working with some of the most talented people out there ...

others upscale to when it's hard. Nice to have MongoDB and GCP/GKE. Event-driven architecture and message brokers (Pub/Sub, Kafka). Payments, ledgers, reconciliation, or another money-movement/financial-correctness domain. Fintech or another regulated, high-trust environment. Who does well here ...

such as Jenkins or Azure DevOps. Desirable Experience Previous experience of working on GOV/NHS projects or in a consultancy environment. Knowledge of Kafka or other asynchronous messaging systems. Knowledge of Helm. What makes us great Alongside working with some of the most talented people out there ...

industry experience. Experience with high‐volume, low‐latency SaaS systems. Experience with distributed and event‐driven architectures (Azure Service Bus, Event Hubs, Event Grid, Kafka). Experience building multi‐tenant architectures, including tenant provisioning, routing and per‐tenant configuration/quota management. Experience with Azure ingress and global routing ...

/Spring Boot, Kotlin/Micronaut (desirable), Python (desirable). Cloud & Infrastructure: Azure IaaS and PaaS services, Docker, Kubernetes, Helm and Terraform. Data & Messaging: Kafka/Confluent. Databases: MongoDB and Azure SQL Server. Observability: Dynatrace, OpenTelemetry and PagerDuty. What’s in it for you? Working at M&S means ...

/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 great ...

. Observability tooling (Datadog, OpenTelemetry) and SLI/SLO design. Security and identity tooling (SSO, IAM, PKI). Queue or streaming design patterns (SQS, Kafka). Commercial or low-level languages beyond scripting (Java, C#, Golang, C++, Rust). Experience with legacy Windows Server/.NET/ ...

based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling experience for analytics and reporting use cases Knowledge of security, risk ...

based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling experience for analytics and reporting use cases Knowledge of security, risk ...

based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems Preferred qualifications, capabilities, and skills Data modeling experience for analytics and reporting use cases Knowledge of security, risk ...

Middleware, APIs, & Data Streaming (Technologies): Extensive hands-on experience architecting software interfaces using modern protocols and event-driven architectures (e.g., gRPC, REST, GraphQL, Apache Kafka, RabbitMQ). Automation & IaC (Tools): Demonstrated success utilizing Infrastructure as Code (IaC) and deployment automation tools (e.g., Terraform, Ansible, ArgoCD) across multi-cloud environments ...

with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systemsDemonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong ...

testing and version control.* **Data Engineering Stack** Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL.* **Orchestration** Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity ...

Azure or GCP Hands-on exposure to Docker, Kubernetes and CI/CD Git-based development and version control Event-driven systems using Kafka or RabbitMQ Terraform or other Infrastructure-as-Code tools Automated testing with PyTest/Jest Experience working on enterprise-scale platforms Additional: Strong analytical, communication ...

microservices architecture event-driven systems distributed systems Strong backend engineering experience using Java/Spring Boot or equivalent Experience working with: REST APIs Kafka/RabbitMQ/messaging systems Docker Kubernetes cloud-native deployments Strong understanding of security, scalability, resilience, and reliability principles Strong communication and stakeholder management skills ...

DevOps tools Bonus Points For Terraform, CloudFormation, or other infrastructure-as-code tools Experience with serverless functions (AWS Lambda, Azure Functions) Messaging systems like Kafka or RabbitMQ Familiarity with security protocols such as OAuth2 and SAML QA automation and integration with third-party platforms Why Join Capco ...

integration, and treasury operations. Our stack runs on AWS as a set of distributed applications using Kubernetes, with microservice‐led architecture. We also use Kafka for streaming and PACT for contract testing. Responsibilities Build and maintain mission‐critical FX trading services including pricing engines, risk management systems, and market ...

NVIDIA Container Toolkit, Run:AI) Architectural styles Microservices Serverless Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka and MQTT) DevSecOps tooling Version control (e.g. Git) Continuous Integration/Deployment (e.g. Gitlab CI/CD) Infrastructure as code (e.g. Terraform, Puppet, Ansible ...

Terraform, Ansible or equivalent) Data & Integration Working with SQL and NoSQL data stores Familiarity with structured and unstructured data concepts Messaging/streaming systems (Kafka, AWS SQS, or other cloud-native queuing services) Experience with data visualisation tools or techniques Quality & Engineering Practices Unit testing and test automation ...

Tools: Jenkins, GitLab CI, GitHub Actions- DevOps: Docker, Kubernetes- Cloud Platforms: AWS/Azure/GCP- Databases: MySQL, PostgreSQL, MongoDB- Version Control: Git- Messaging: Kafka/RabbitMQ (good to have)- Security: OAuth2, JWT (good to have)Experience & Qualifications:- Experience with DevOps & CI/CD automation- Experience in Agile/ ...

Azure services covering compute, networking, security, identity, monitoring, and governance. Strong background in microservices architecture using Java/Spring Boot, event‐driven systems using Kafka, and distributed caching technologies such as Redis or Hazelcast. Expertise in API architecture, RESTful services, OpenAPI/Swagger standards, and integration design patterns. Demonstrated ...

Azure services covering compute, networking, security, identity, monitoring, and governance. Strong background in microservices architecture using Java/Spring Boot, event‐driven systems using Kafka, and distributed caching technologies such as Redis or Hazelcast. Expertise in API architecture, RESTful services, OpenAPI/Swagger standards, and integration design patterns. Demonstrated ...

infrastructure in Cloud services particularly GCP. Experience in high throughput distributed systems & Microservices, ideally real-time event processing systems at scale; such as Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes ...

Proficient in shift-left testing using tools like JUnit, Cucumber, Gherkin, PACT, and Test Containers. Working knowledge of event/message brokers such as Kafka and MQ.Advanced Scala programmingStrong proficiency in both functional and object‐oriented programming paradigms, with the ability to apply the right approach to deliver robust ...

/CD tools such as Jenkins or Azure DevOps. Desirable Experience Previous experience of working on GOV/NHS projects. Knowledge of Kafka or other asynchronous messaging systems. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive ...