1 to 25 of 198 Remote Kafka Jobs

will extensive and deep expertise in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka. Solution architect with broad expertise in wide range of digital technologies in areas More ❯

/Diploma with 14 years of experience, Minimum of 8 years of experience in software development Advanced proficiency with: Multiple programming languages and frameworks Message brokers such as RabbitMQ, Kafka, and Redis Lucene-based search/indexing platforms: Elasticsearch and Apache Solr Data streaming and integration technologies such as Apache Nifi Containerization and orchestration technologies (Docker, Kubernetes) Cloud platforms More ❯

Spring Boot and Quarkus Experience with Python, C++ Experience with Docker, AWS and/or Azure, and Kubernetes for containerization, cloud services, and orchestration Hands-on experience with Apache Kafka, Apache NiFi Experience developing software interfaces for Link 16 and JREAP-C messages Experience developing applications that interface with multiple message types, such as xml, and protocol buffers (protobuf More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

automated program analysis platform aimed 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 for on-prem and offline 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 ❯

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 ❯

information to individuals with non-technical backgrounds and to senior leadership Experience with Machine Learning Analytics Experience with Amazon Web Services (AWS) Experience with asynchronous messaging systems (RabbitMQ, Apache Kafka, etc.) Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Excellent communication and collaboration abilities Experience working independently to solve complex 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 ❯

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 ❯

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 ❯

principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and Python for mathematical processing. Experience with Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience 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 ❯

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 ❯

skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ), or startup environments. What We Offer Hybrid working as standard 25 days annual leave + bank holidays Flexible holiday scheme Paid time off to move home Contributory More ❯

like presentation, documentation and customer collaboration Experience supporting U.S. Intelligence Community or Department of Defense missions Working knowledge of data ingestion, integration, search processing. Familiarity with tools such as Kafka, Elasticsearch, NiFi, or cloud-native services. Understanding of Zero Trust architectures, cross-domain solutions (CDS), and IC policy requirements (e.g., ICD 705, NIST SP 800-53). Experience integrating More ❯

Proven experience designing and supporting multi-tenant SaaS data platforms with strategies for data partitioning, tenant isolation, and cost management Exposure to real-time data processing technologies such as Kafka, Kinesis, Flink, or Spark Streaming, alongside batch processing capabilities Strong knowledge of SaaS compliance practices and security frameworks Core Competencies Excellent problem-solving abilities with the capacity to translate 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 ❯

Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure DevOps Nice to have: Experience of working with Apache Spark/Flink/Kafka Familiarity with object storage e.g. AWS S3 Knowledge of containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP Experience contributing to open-source More ❯

Strong expertise in Java (8/11/17+) and core libraries Proven experience with Spring Boot and microservices Strong background in AWS (EC2, S3, Lambda, IAM) Knowledge of Kafka or similar messaging systems Advanced SQL skills with query optimisation Experience building REST/JSON APIs Proficiency with Docker for local and cloud deployments Excellent communication skills Nice-to More ❯