26 to 50 of 587 Permanent Kafka Jobs

container orchestration, Kubernetes, Istio and GKE in particular. Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years More ❯

container orchestration, Kubernetes, Istio and GKE in particular. Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years More ❯

Sonar) Web Technologies (JavaScript, HTML 5, CSS, JSON, REST, SOAP) Testing tools & frameworks (Jasmin/Karma, JUnit, Selenium, Cucumber, Mockito) Experience with Integration patterns and messaging technologies (MQ, Solace, Kafka, RabbitMQ) Extensive experience in ORACLE PLSQL, SQL and performance fine tuning. Strong passion for continuous improvement in its many forms Ability to be flexible and change direction as needed. More ❯

of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯

high-performance applications. Familiarity with streaming/event-driven techniques and microservices architecture. What Will Set You Apart Knowledge of DevOps tools such as Docker and Kubernetes. Experience with Kafka and Agile methodologies. Financial Services experience is desirable but not essential. Commitment to fostering a diverse and inclusive work environment. Excellent communication skills and ability to convey complex concepts More ❯

/IP) Basic knowledge of encryption principles Proficient in version control using Git Technical Skills: C# NET Core SQL (strong knowledge) Linq2DB, Entity Framework Core RESTful APIs RabbitMQ/Kafka CQRS pattern NuGet package development and management JavaScript Docker/Kubernetes Git/DevOps tools Additional Information Your impact on Radius will be rewarded with the opportunity to develop More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

storage, Oracle Autonomous Database, and PostgreSQL. Supporting innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Using big data technologies like Kafka, Iceberg, and Parquet, along with managed databases including PostgreSQL and Oracle vector databases. Operating, monitoring, and maintaining Oracle Cloud infrastructure to ensure backend services are highly available, scalable, and More ❯

distributed systems. What you’ll do: Build & architect Golang microservices, REST/gRPC/GraphQL APIs Drive legacy migrations (Java/Python/PHP → Go + AWS) Work with Kafka, MongoDB, PostgreSQL, Redis Deploy via Docker, Kubernetes (EKS), AWS Lambda Lead best practices & mentor junior devs What we’re looking for: 5+ years software engineering, incl. 3+ in Go More ❯

Contribute to architectural decisions and help shape the technical direction of our platforms What We’re Looking For Strong commercial experience with Java and Spring Boot Event Driven/Kafka Proven experience working with AWS and containerisation tools (Kubernetes, Docker) A passion for clean, efficient, and scalable code Strong problem-solving skills and a proactive mindset Previous exposure to More ❯

Contribute to architectural decisions and help shape the technical direction of our platforms What We’re Looking For Strong commercial experience with Java and Spring Boot Event Driven/Kafka Proven experience working with AWS and containerisation tools (Kubernetes, Docker) A passion for clean, efficient, and scalable code Strong problem-solving skills and a proactive mindset Previous exposure to More ❯

Microservices architecture, and RESTful APIs. Strong understanding of multi-threading, concurrency, and performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or More ❯

/master's degree in computer science or related field • 5+ years of Java development experience, ideally in capital markets/financial services • Experience with frameworks (Spring, Hibernate), messaging (Kafka, RabbitMQ), and databases (SQL Server, QuestDB, Snowflake) • Proficiency with Git and Agile development • Strong multitasking, organizational, and communication skills Good to Have: • Experience with AI/ML and the More ❯

Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme Contributory pension scheme Enhanced family More ❯

and above experience with Java 11 and Java 17 is a plus Must have good working knowledge with Spring Boot for service development Must have good working knowledge with Kafka and its integrations Must have good working knowledge in both SQL and NoSQL databases like Oracle PostgreSQL Couchbase Cassandra etc Must have a basic knowledge and understanding of tools More ❯

modern, enterprise-grade tech stack designed for scale, resilience, and agility. Frontend: React.js (Hooks, Context API) TypeScript Redux Cypress, Jest Backend: Java 11+ Spring Boot RESTful APIs Microservices PostgreSQL Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring with CloudWatch, Kibana Why You'll Love Working Here This isn't just a role-it's More ❯

required; experience in the securities or financial services industry is a plus. Previous success in technical engineering with coding experience beyond simple scripts. Experience with .NET development, Java, Angular, Kafka, Hazle Cast, SQL and Sybase. Proficiency in Agile Methodologies, DevOps, Site Reliability Engineering, and software development; familiarity with tools and technologies such as Amazon S3, AWS, Ansible, Docker, Kubernetes More ❯

this role, you'll have the opportunity to impact our organization in the following ways: Lead implementation of scalable and robust full-stack applications using Core Java, Advanced Java, Kafka, and Angular Design and develop software applications using Test Driven Development with Spring Boot Microservices architecture Create dynamic and responsive front-end applications using Angular. Collaborate with cross-functional More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯

warehousing. Professional experience with Snowflake, Azure Data Factory for pipelining, Azure Databricks for data processing, and PowerBI for reporting and analytics. Good knowledge in streaming and interfacing technologies including Kafka, Terraform, and Azure Microservices. Collaborative mindset with the ability to communicate effectively with diverse stakeholders, including chairing meetings and facilitating workshops. Enthusiasm for training and upskilling internal and external More ❯