Java Full Stack Developer at Aurum Data Solutions

Aurum Data Solutions
September 19, 2020
Austin, Texas
Job Type
Job Expires: 2020-12-18


Apply You will be redirected to Aurum Data Solutions's preferred application process.

Java Full Stack Developer

Position: Senior JAVA Developer / Full stack Java Lead /Lead Consultant (SaaS)
Location: Austin, TX
Start date:
ASAPConditions: Remotely, at present
Duration: 12 ~ 18 monthsKey Skills: Java/J2EE, Spring, API, Hibernate, SAAS, Azure/AWS, Cloud (SAAS/PAAS), AngularJS Interview process: Phone to WebEx (2 rounds


Skills & Experience: Relevant Bachelor's degree or equivalent work experience in a related field10+ years in the software engineering profession with demonstrated success designing and building high-quality, commercial software and SaaS applications10+ years Java/J2EE software development experience with Spring framework
Hands-on experience with APIs, Micro services and Service Oriented Architecture
Experience working with Cloud services platforms such as Azure or AWS.Well experienced in Python or PHP . Experience developing REST web services
Demonstrated success in building design patterns and software engineering best practice
Experience with JS Frameworks such as NodeJS, AngularJS or VueJSGood understanding of NoSQL and its data modeling
Experience in the medical technologies or health care industry is a plus
Experience with Elastic infrastructure solutions and deployment (Docker, Kubernetes, Open
Shift, Mesos)Solid Exposure to distributed technologies (Kafka, Spark, Hadoop, Elastic
Search)Experience with PL/SQL and RDBMS (MSSQL or Oracle)Solid understanding of Agile methodologies and DevOps concepts
Experience with CI/CD systems such as JenkinsKey Skills:
- Java, J2EE, Python, Spring Frameworks, Hibernate, REST, Object Oriented Analysis and Design, Microservices Architecture, Oracle/MySQL/MongoDb, Git, Microservices, JSON, Javascript, Angular/ReactJS/node.js, Cloud Services (AWS/Azure).""
Apply You will be redirected to Aurum Data Solutions's preferred application process.

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