1 to 25 of 662 Permanent Kafka Jobs

RxJS, HTML5, CSS3, JavaScript/TypeScript. Proven expertise in designing and developing RESTful services and integrating with various databases: Oracle, MongoDB, Elasticsearch. Experience working with messaging platforms like Apache Kafka and service communication protocols such as REST and gRPC. Solid understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes, Helm. Hands-on experience with cloud and infrastructure platforms, particularly Red More ❯

VueJS, & Gulp, Grunt, Yarn, etc. 8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 4+ years of experience leading software engineering teams 4+ years of experience with container and orchestration: Docker, Kubernetes, etc. 4+ years of experience in build and CICD technologies More ❯

VueJS, & Gulp, Grunt, Yarn, etc. 8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 4+ years of experience leading software engineering teams 4+ years of experience with container and orchestration: Docker, Kubernetes, etc. 4+ years of experience in build and CICD technologies More ❯

ability to work independently with little supervision. Basic Qualifications: Proficiency and/or knowledge of the following: Angular, JavaScript, CSS, & HTML, & Material UI, JAVA etc AWS Cloud, EKS, Kubernetes, Kafka, Jenkins, Ansible, Docker, GIT, Red Hat Enterprise Linux (RHEL) Oracle/MySQL/Postgres, microservices, Springboot, Java. KABANA or Dynatrace dashboard for monitoring and alerting. Security tools like Anchore More ❯

Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days per More ❯

Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API versioning. More ❯

procedures, triggers, performance tuning) and experience with NoSQL (MongoDB, Cassandra). Experience migrating RDBMS to cloud/NoSQL is a significant plus. Middleware: Hands-on experience with Tibco EMS, Kafka, MQ, JMS. Cloud & DevOps: Developing/deploying applications to cloud platforms (AWS, GCP, PCF). Strong experience with Agile/SCRUM, CI/CD automation (Jenkins, Bamboo, UrbanCode), and More ❯

ability to work independently with little supervision. • Proficiency and/or knowledge of the following: o Angular, JavaScript, CSS, & HTML, & Material UI, JAVA etc o AWS Cloud, EKS, Kubernetes, Kafka, Jenkins, Ansible, Docker, GIT, Red Hat Enterprise Linux (RHEL) o Oracle/MySQL/Postgres, microservices, Springboot, Java. • KABANA or Dynatrace dashboard for monitoring and alerting. • Security tools like More ❯

working in or contributing to a Centre of Excellence team Excellent communication and collaboration skills across multidisciplinary teams Desirable Attributes Exposure to microservices architecture and event-driven systems (e.g., Kafka) Experience with design systems and component libraries (e.g., Material, Storybook) Familiarity with observability tools and performance tuning Prior consulting experience or experience in client-facing roles Engagement Model Outside More ❯

Numpy or OpenCV. Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow). Knowledge of WebGL, Canvas API, or other graphics programming technologies. Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices. Background in computer graphics, media processing, or VFX pipeline development. Experience with performance profiling, system monitoring, and observability tools. Understanding of network protocols More ❯

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

Hands-on knowledge in designing, writing, and reviewing high performant reactive clean code • Solid experience in building cloud native, event driven, scalable, distributed systems or services using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH More ❯

such as Spring, Hibernate/JPA Experience working with Object Relational Mapping (ORM) or NoSQL databases, such as MySQL, PostgreSQL, and Elasticsearch Familiarity with message queue implementations, such as Kafka Good understanding of Git, GitLab, CI/CD pipelines, and CM best practices Experience developing ETL/Big Data applications Experience designing RESTful web services Experience with Agile development More ❯

methodology - Working knowledge with Collaboration tools, such as, Jira and Confluence Preferred Qualifications: - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, - Working knowledge with public keys and digital certificates - Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG - Experience with DevOps More ❯

methodology Working knowledge with Collaboration tools, such as, Jira and Confluence Desired Qualifications: Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, Working knowledge with public keys and digital certificates Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG Experience with DevOps More ❯

other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Assist with the deployment, configuration, testing, troubleshooting, maintenance, updates/upgrades of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. More ❯

clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. More ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high More ❯

such as MySQL, that utilize SQL queries. Familiar with using Java for data processing, manipulation or querying (SQL or NoSQL) Familiar with ETL/Data Integration using Spring, NiFi, Kafka, and Elasticsearch. Familiar with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Familiar with development leveraging cloud data services (ex: S3, RDS, EFS) Excellent communication skills (written More ❯

open-source projects. • Experience with distributed systems and microservices architectures. • Knowledge of security best practices and compliance requirements. • Experience with real-time data processing and streaming platforms (e.g., Apache Kafka, Apache Flink). • Familiarity with chaos engineering principles and tools. More ❯

to non-technical stakeholders. Team Player: Ability to work effectively in a collaborative team environment, as well as independently. Preferred Qualifications: Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration More ❯

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯