1 to 25 of 440 Remote Kafka Jobs

Docker, Kubernetes) Familiarity with front-end frameworks (React, Angular, or Vue.js) Experience with API security and OAuth2 authentication mechanisms Understanding of message queues (RabbitMQ, Kafka) Active contributor to communities of practice Triad's Commitment to You Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative More ❯

. Experience with Cloud Platforms (i.e., AWS/GCP/Azure). Exposure to microservices architecture and distributed systems. Experience with Message Brokers (i.e., Kafka/RabbitMQ/IBM MQ). Understanding of DevOps principles and infrastructure as code tools (i.e., Terraform). Background in performance tuning, profiling, and More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

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 More ❯

tools such as Jira and Confluence. Preferred Skills and Qualifications Experience with platforms and services such as Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi. Familiarity with public key infrastructure and digital certificates. Knowledge of automated testing tools and patterns: Mocha/Chai, JUnit, NUnit, TestNG. 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 ❯

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 ❯

Required) Backend Java v17 Spring/Spring Boot Front End Angular/HTML AWS Cloud services Local Stack Alfresco/Activiti/Camunda Apache Kafka MongoDB/MySQL or other RDBS Kubernetes/Docker Micro-services Architecture Security and PKI KeyCloak XML If you hold current SC Clearance and More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

in any of the following technologies is a plus: Languages & Frameworks: Java, Spring Boot, TypeScript, JavaScript, React Databases: PostgreSQL, SQL Server, MongoDB Messaging & Integration: Kafka, ActiveMQ, REST, API Gateways, WSO2 Cloud & DevOps: AWS, Docker, Ansible, Jenkins Search & Analytics: Elasticsearch Culture & Team Engineers are supported by a collaborative, inclusive team More ❯

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 More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

to manage feature delivery through sprints and scrums Desirable: Familiarity with cloud platforms (AWS, Azure) and containerisation (Docker, Kubernetes) Exposure to messaging systems like Kafka or Solace Financial services background or experience working on large-scale enterprise applications Understanding of SDLC and scalable web application architecture About Barclays Barclays More ❯

transformations, and message processors. • Familiarity with cloud platforms (AWS, Azure, or GCP) and on-prem hybrid integrations. • Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ, JMS), and ETL processes. • Experience with OAuth, JWT, SAML, and API security best practices. • Strong understanding of CI/CD tools (Jenkins, GitHub 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 ❯

delivery of mission-critical APIs. The product is heavily API-focused, with minimal UI involvement. Tech Stack: Back-End: Kotlin, Spring Cloud, JUnit, Swagger, Kafka, PostgreSQL (AWS RDS), Redis (AWS), DynamoDB, Docker, AWS Front-End: TypeScript, React, Vite QA Automation: RestAssured, MockServer, JMeter (Java DSL), Playwright, JUnit/TestNG More ❯

big data frameworks (Hadoop, Spark, Flink etc.) Experience with ML lifecycle management tools (MLflow, Kubeflow, etc.) Familiarity with data pipelining and streaming technologies (Apache Kafka, Apache Nifi, etc.) Demonstrated contributions to open-source software repositories (github, kaggle, etc.) Experience deploying ML models on cloud platforms (AWS, Azure, etc.) Domain More ❯

with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS More ❯

maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

platforms (AWS, Fastly). Solid knowledge of RESTful APIs and microservices architecture. Experience with databases (PostgreSQL, MySQL, NoSQL databases). Proficiency with message queues (Kafka, RabbitMQ). Strong DevOps experience, including: CI/CD pipelines (GitHub Actions). Containerization technologies (Docker, Kubernetes). Monitoring & logging tools (Prometheus, Grafana, ELK More ❯

of SQL/PL-SQL on Oracle DB Cloud native microservices Tomcat or WebLogic application server, container platform based on Kubernetes REST web services, Kafka, Redis Unix commands and Korn shell scripting. Familiarity with standard data structures and algorithms. Thorough understanding of usage of the fundamental concepts like Exception More ❯

development experience Experience of designing distributed systems, microservices, micro-frontend UIs Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of following TDD and passionate about clean code principles Proficiency in programming in Java More ❯