26 to 50 of 628 Permanent Kafka Jobs

solving, has excellent attnetion to detail, and can work effectively in a fast-paced,agile environment. • Familiarity with serverless architecture is beneficial. • Experience with messaging systems like RabbitMQ or Kafka is a plus. • Experience implementing two-factor authentication (2FA) for user logins.. • Experience with performance optimisation for high-traffic scenarios and a large number of concurrent users. More ❯

experience with unit/integration/e2e tests: JUnit/Mockito/Selenium/Cucumber, build tools: Maven/Gradle. Practical experience with distributed systems, AWS, Kubernetes. Experience with Kafka, JWT and Spring Cloud, OSGI, BPMN will be considered as an advantage. Basic knowledge of Front End tools: JavaScript/Typescript, ReactJS/Angular will also be considered as More ❯

with, Redis, Okta, OpenID a distinct advantage). Extensive experience of code quality, test, CI/CD and package managers such as Jest, Lint, Brigade and Helm Experience of Kafka, n8n and event driven architecture Experience of leading teams in delivering software and platform serives Good working knowledge of GraphQL APIs (federation using Wundergraph), ABAC solutions (Symphonic or equivalent More ❯

with, Redis, Okta, OpenID a distinct advantage). Extensive experience of code quality, test, CI/CD and package managers such as Jest, Lint, Brigade and Helm Experience of Kafka, n8n and event driven architecture Experience of leading teams in delivering software and platform serives Good working knowledge of GraphQL APIs (federation using Wundergraph), ABAC solutions (Symphonic or equivalent More ❯

GCP AI Platform, Azure ML, or equivalent). Solid understanding of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect, or similar), and batch/streaming frameworks (Spark, Kafka). Leadership & Communication: Proven ability to lead cross-functional teams in ambiguous startup settings. Exceptional written and verbal communication skillsable to explain complex concepts to both technical and non More ❯

Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks More ❯

years' experience working as a 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, Mockito, PyTest, Selenium. Strong working More ❯

MLOps practices and model deployment 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 code (Terraform, CloudFormation) Expertise in More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the 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 ❯

EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code More ❯

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with More ❯

Sonar) Web Technologies (JavaScript, HTML 5, CSS, JSON, REST, SOAP) Testing tools & frameworks (Jasmin/Karma, JUnit, Selenium, Cucumber, Mockito) Experience with Integration patterns and messaging technologies (MQ, Solace, Kafka, RabbitMQ) Extensive experience in ORACLE PLSQL, SQL and performance fine tuning. Strong passion for continuous improvement in its many forms Ability to be flexible and change direction as needed. 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 ❯

EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code More ❯

Experience with Test Automation, DevSecOps, and CI/CD processes. Experience working with a large-scale legacy software system. Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. Clearance Level TS/SCI This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to obtain an Interim More ❯

serverless architectures (Lambda, Fargate, Cloud 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.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. You have worked More ❯

deliver on the following responsibilities: Design, develop, and deploy Java-based microservices using Spring Boot and RESTful APIs . Architect and implement integration solutions using modern tech stacks including Kafka , Kinesis , and API Gateway . Process and analyze structured and unstructured data using Spark , Amazon EMR , and PySpark . Manage and monitor AWS infrastructure including EC2, ECS, Lambda, S3 More ❯

cost efficiency DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling, APIs, messaging systems (e.g., Kafka), and ETL pipelines. Security & Compliance : Knowledge of secure design, identity management, and regulatory standards (e.g., GDPR). Problem Solving : Proven ability to lead teams in diagnosing and resolving complex More ❯

serverless architectures (Lambda, Fargate, Cloud 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 microservices communicating over a range More ❯

a proactive approach to process 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 GitHub proficiency Strong organizational, analytical More ❯

UI development with a modern JavaScript framework (e.g., React, Vue, Angular) Experience with automated build tools, continuous integration, and continuous deployment Experience with containerization and orchestration technologies (e.g., Kubernetes) Kafka experience More ❯

and impactful. Experience we're looking for: Experienced in designing and developing full stack solutions with Java, Spring boot and ideally React (or similar) Microservices Architecture Messaging technologies e.g Kafka, RabbitMQ OR ActiveMQ Familiar with Cloud platforms (AWS, Kubernetes, Docker) Experienced of working within an Agile Product team alongside scrum masters and product owners Strong communication skills and the More ❯

Prior experience in Payments Processing, financial services, or banking systems. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have : • Familiarity with messaging systems (Kafka, RabbitMQ, etc.) Exposure to container security and performance tuning on OpenShift. Knowledge of payment gateways, ISO 20022, or SWIFT formats. • Collaborative, fast-paced, and engineering-driven culture. • Emphasis on More ❯

Degree or 5+ years of relevant experience in lieu of a degree US citizenship and an active TS/SCI with Polygraph security clearance required Desired Experience: Experience with Kafka Experience with container and container orchestration technologies like Docker Experience with AWS workflow tools and PowerBI/Tableau reporting tools Ability to engage with stakeholders at all levels to More ❯