126 to 150 of 2,648 Kafka Jobs

in mock data generation and synthetic data creation for testing purposes Experience with distributed systems, microservices, and cloud technologies Understanding of data processing frameworks (Kafka, Spark, Airflow) and testing approaches Experience with containerization (Docker, Kubernetes) and cloud platforms (preferably Azure) Core Competencies: Solid experience in Object-Oriented Programming, data More ❯

Strong problem-solving skills and a pragmatic approach to engineering problems and a demonstrated willingness to learn new technologies Knowledge of message queues (SQS, Kafka, etc.) and asynchronous processing patterns Excellent written and verbal communication skills Nice To Haves Understanding of Agile or Kanban/Lean software development methodologies More ❯

familiar with, and able to install, configure and manage various persistence technologies, including database technologies (NoSQL/SQL) and broker/queuing systems (e.g. Kafka, SQS), including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and More ❯

insights into technical solutions Preferred Qualifications, Capabilities, And Skills Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as Kafka Knowledge of the financial services industry and their IT systems About Us J.P. Morgan is a global leader in financial services, providing strategic advice More ❯

at identifying and remediating software vulnerabilities. Our product is a scalable distributed system designed around microservices and is built on technologies like PostgreSQL, S3, Kafka, MongoDB, and many other services. We distribute our system as a cloud native application that runs on AWS as well as self-managed clouds More ❯

areas, please get in touch Spring Boot microservices React and Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile More ❯

C#, Go with an emphasis on writing clean, maintainable, and efficient code. API Design & Development : Solid understanding of RESTful APIs, gRPC, and asynchronous messaging (Kafka, RabbitMQ, etc.). CI/CD & DevOps : Strong experience with CI/CD pipelines, automation, and DevOps practices. Familiarity with tools like Jenkins, GitLab More ❯

containerisation tools (Docker, Kubernetes). Experience with CI/CD tools (e.g., Jenkins, Concourse, GitHub Actions) to integrate performance testing. Familiarity with message queues (Kafka, RabbitMQ). Experience accessibility testing. We offer an excellent benefits package that includes: a generous 30 days annual leave plus 8 bank holidays and More ❯

of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI More ❯

of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S is a plus Knowledge and hands on experience in CI More ❯

Tech Stack Java 17+ Rest APIs with Micronaut and Spring Boot Relational database (Azure SQL/SQL Server/PostgreSQL) MongoDB Event processing with Kafka CI/CD with GitHub Actions and Azure pipelines Code quality with Sonar Microservice architecture Azure DevOps, Kubernetes, Docker Azure storage, Redis Observability Tools More ❯

etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your dedicated Talent Acquisition Partner who More ❯

C#, and/or React with a deep understanding of system architecture and distributed systems. Experience with low-latency, high-throughput messaging systems (e.g., Kafka, RabbitMQ, or proprietary systems). Expertise in cloud technologies and deployment pipelines (AWS, GCP, or Azure). Expertise in performance profiling and optimisation. Strong More ❯

environments 17. Experience with Open Container Initiative (OCI) containerized application development 18. Understanding of test-driven software development 19. Experience with messaging frameworks (e.g. Kafka, RabbitMQ, ActiveMQ, JMS) 20. Familiarity with automated testing and test tools 21. Familiarity with running performance tests and debugging techniques. 22. Familiarity with database More ❯

microservices purposed programming languages. Runtimes : Experience in .NET Core, .Net based development. Proficiency of Azure cloud services and frameworks Developing Event Driven Applications using Kafka, Zookeeper Knowledge of cloud-native CI/CD for change release. Knowledge in Test Driven Development Azure Full stack developers need to be proficient More ❯

Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.). Effective team player with excellent communication, presentation, and influencing skills. Passion for improving coding and development practices. Experience working with More ❯

or Python. Proven track record of designing and building scalable microservice architectures. Deep understanding of event-driven systems and message queues (e.g. NATS, RabbitMQ, Kafka). Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL More ❯

improvement Essential skills include: Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling More ❯

experience with AWS architecture and cloud-based solutions. Experience with CI/CD pipelines and DevOps practices. Distributed Systems & Data Engineering Solid knowledge of Kafka for event-driven architectures. Experience with Big Data technologies such as Hadoop or similar tools. Familiarity with NoSQL databases, including MongoDB, Elasticsearch, and Apache More ❯

Software Engineer on large software applications Proficient in many of the following technologies – Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems – DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools – JUnit More ❯

Understanding of microservices, and event-based architecture. Hands-on experience with Docker and containerized development Familiarity with event-driven architectures and message brokers like Kafka . Experience integrating with AWS services such as Lambda , S3 , DynamoDB , MSK , and API Gateway . Experience with backend development using Java (Spring Boot More ❯

Monitoring and Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., Apache Kafka) and SQL database management Strong Communication and Collaboration: Excellent communication skills and the ability to work effectively in a remote, collaborative environment Nice To More ❯

Nice to Haves: Experience with Azure services for managing GPT pipelines and multi-cloud infrastructure. Familiarity with big data technologies such as Apache Spark, Kafka, and MSK for large-scale data processing. Experience with boost libraries (asio, beast). Advanced experience in cost optimization strategies for cloud infrastructure and More ❯

pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as More ❯

with: Spring Framework Hibernate/JPA Experience developing ETL/Big Data applications Experience designing RESTful web services Experience with messaging systems such as Kafka or RabbitMQ Familiarity with Agile development methodologies Experience installing, configuring, and managing databases like: MySQL PostgreSQL Elasticsearch More ❯