76 to 100 of 121 Permanent Kafka Jobs

Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Mandatory skills: Java, Snowflake, MongoDB, Kafka Core Competencies Languages: Java (717), Python … Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc. Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc. Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. ...

Deploy containerised services using Docker and Kubernetes Contribute to architecture, code reviews, and engineering standards Collaborate with developers, data engineers, and stakeholders Technology Stack Kafka/Redpanda Docker & Kubernetes Microsoft Azure REST APIs & webhooks CI/CD & Infrastructure as Code OpenTelemetry, Prometheus & Grafana Required Skills Strong software engineering background … Experience building integration or event-driven platforms Kafka, Redpanda, or similar streaming technologies Enterprise system integrations and API design Agile development experience Strong communication and collaboration skills Desirable Skills Go and/or Python CDC pipeline development Azure cloud experience Observability tooling (Prometheus, Grafana, OpenTelemetry) Experience within regulated environments ...

zero single points of failure. Real-Time Distributed Computing: Design and implement resilient, event-driven systems built on high-throughput distributed messaging (e.g., Kafka, RabbitMQ) to handle concurrent data and media streams. Event-Sourced State Management: Architect event-sourced services and CQRS-style read/write models with deterministic … ramp quickly to a Go-first stack). Distributed Systems Mastery: Proven experience designing and operating horizontally scalable architectures and event-driven systems (Kafka, RabbitMQ, or similar). Event Sourcing & State: Practical experience with event-sourced and/or CQRS architectures, deterministic state machines, and replay-based recovery. Production ...

Stack: You'll need extensive experience in complex software development, with a strong background in Java and Oracle . The platform also uses: Apache Kafka Spring Kubernetes If you have a strong technical background and are looking for a significant role in a high-profile greenfield project, please ...

quality standards, and effective stakeholder engagement. Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

Defence or comparable industries) Considerable hands-on expertise with leading integration platforms (e.g. MuleSoft, Dell Boomi, Apache Camel), API-led architectures, messaging systems (e.g. Kafka, RabbitMQ), and data transformation approaches Deep understanding of modern integration architecture patterns, including service-oriented, event-driven, and microservices architectures, with the ability ...

Defence or comparable industries) Considerable hands-on expertise with leading integration platforms (e.g. MuleSoft, Dell Boomi, Apache Camel), API-led architectures, messaging systems (e.g. Kafka, RabbitMQ), and data transformation approaches Deep understanding of modern integration architecture patterns, including service-oriented, event-driven, and microservices architectures, with the ability ...

Prefect) Configuration and automation tools (Ansible, Salt, Puppet) ITSM and ITOM platforms Event-driven automation and runbook-as-code approaches Messaging technologies such as Kafka and RabbitMQ #J-18808-Ljbffr ...

coaching technical performance then we want to hear from you! Technologies you will be using: Angular, Typescript, CSS, HTML, .Net, C#, SQL Server, Kafka, Elastic/Kibana,Powershell,Yaml What you will be doing: Proven abilities in coaching technical performance within a team and across a business, setting technical ...

coaching technical performance then we want to hear from you! Technologies you will be using: Angular, Typescript, CSS, HTML, .Net, C#, SQL Server, Kafka, Elastic/Kibana,Powershell,Yaml What you will be doing: Proven abilities in coaching technical performance within a team and across a business, setting technical ...

production, not just notebooks. The Full ML Lifecycle: Expertise in end-to‐end system design: from feature stores and real‐time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving ...

Industrial IoT (IIoT), IT/OT integration, and manufacturing technologies Experience working with industrial data platforms, databases, APIs, and streaming technologies such as Kafka/MQTT Knowledge of data products, analytics, and scalable data solutions, ideally using tools like Databricks or Azure Data Factory Experience within manufacturing, FMCG/ ...

achieve more with the AWS cloud. BASIC QUALIFICATIONS - Experience as technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in cloud based solution (AWS or equivalent), system, network and operating system ...

Role: Senior Azure DevOps Engineer (Kafka) Location: Remote (UK) Salary: £75k + 10% Bonus Key Skills: Azure Terraform Kubernetes Kafka Data platforms Overview We're partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration … Code using Terraform Build and maintain CI/CD pipelines using GitHub Actions (essential) Support GitHub-based release and deployment workflows Work with Kafka for event-driven streaming and real-time data movement Support and evolve data platforms (Databricks ideal) Build and maintain data pipelines (batch + streaming/ ...

that power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … Strong experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices ...

isolation, and migration strategies for enterprise clients (parallel runs, phased cutovers). Modernize data architecture to support real-time streaming and graph-based modeling (Kafka, Flink) and unified analytics for operations and ML training. Transition release management from quarterly waterfall to continuous deployment with feature flags while protecting enterprise … multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent frameworks) and graph/knowledge graph ...

service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking … Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge ...

service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking … Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge ...

service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking … Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge ...

service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking … Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge ...

service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking … Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge ...

collaborating closely with peers, and improving engineering quality through testing, pairing, and iterative delivery. They will work with technologies including Java, Spring Boot, AWS, Kafka, Python, APIs, microservices, and event-driven architecture in a Scrum-based environment. . Key responsibilities: Design, build, and maintain backend services that support document … entity recognition workflows. Develop and enhance microservices and APIs using Java, Spring Boot, and Python. Contribute to event-driven and distributed systems using Kafka and AWS-based infrastructure. Write maintainable, well-tested code using practices such as TDD and pair programming. Collaborate with engineers, product partners, and other stakeholders ...

teleoperation Implement multi-path bonding across LTE, 5G, and Wi-Fi to ensure reliable data transmission for robotic fleets in the field Develop a Kafka-like streaming library and custom renderers to capture and process high-fidelity training data for autonomous systems The ideal candidate Strong proficiency in Rust ...

Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Mandatory skills: Java, Snowflake, MongoDB, Kafka Core Competencies Languages: Java (717), Python ...

humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS … languages Experience/knowledge with public clouds (AWS, Azure or GCP) What Gives You an Edge: Experience with Golang is advantageous Experience using Apache Kafka is a big plus Ready to build what's next? Let’s get in motion. Come As You Are Belonging isn’t a perk ...