Extensive full-stack JavaScript development experience, including Node.js and TypeScript.
Experience in Big Data Cloud and distributed computing environments.
Proficient in Java, object-oriented programming, and RESTful web services.
Familiarity with Hadoop ecosystem technologies like HDFS, HBase, and MapReduce.
Experience with information retrieval and database technologies.
Proficient in Linux/UNIX environments.
Strong debugging, testing, and troubleshooting skills.
Responsibilities
Design, develop, test, and maintain complex cloud-based software applications.
Develop full-stack applications using JavaScript, Node.js, and TypeScript.
Support Big Data processing and information retrieval across distributed systems.
Integrate Java applications, RESTful services, and database interfaces.
Implement and support Hadoop ecosystem technologies.
Develop workflows for distributed data processing and analytics.
Troubleshoot software defects and optimize application performance.
Benefits
Opportunity to work on mission-critical operations in a dynamic environment.
Collaboration with development teams to enhance software quality.
Exposure to cutting-edge technologies in cloud computing and Big Data.
Potential for professional growth and skill enhancement in a specialized field.
Full Job Description
What You Will Do:
As a Cloud Software Engineer Level 2 at Independent Software, you will design, develop, maintain, and enhance complex Big Data Cloud applications supporting mission-critical operations. You will work with distributed computing technologies, data processing systems, and modern software development frameworks to build scalable and reliable solutions.
This position requires extensive full-stack JavaScript development experience using Node.js and TypeScript, along with experience supporting cloud-based data processing, information retrieval, and distributed computing environments
Key Responsibilities:
Design, develop, test, and maintain complex cloud-based software applications.
Develop full-stack applications using JavaScript, Node.js, and TypeScript.
Support Big Data processing, indexing, and information retrieval across distributed systems.
Develop and integrate Java applications, RESTful services, and database interfaces.
Implement and support Hadoop ecosystem technologies, including HDFS, HBase, MapReduce, YARN, and ZooKeeper.
Develop workflows for distributed data processing and analytics.
Troubleshoot software defects, optimize application performance, and support system integration.
Collaborate with development teams to improve software quality, documentation, and development processes.
Required Skills and Qualifications:
Extensive full-stack JavaScript development experience, including Node.js and TypeScript.
Experience developing applications in Big Data Cloud and distributed computing environments.
Experience with Java, object-oriented programming, and RESTful web services.
Experience with Hadoop ecosystem technologies such as HDFS, HBase, MapReduce, YARN, or ZooKeeper.
Experience with information retrieval, distributed data processing, and database technologies.
Experience working with Linux/UNIX environments.
Strong software development, debugging, testing, and troubleshooting skills.
Experience integrating and processing data from multiple sources and formats.
Additional requirements:
Two (2) years of Cloud and Distributed Computing Information Retrieval experience.
One (1) year implementing code interacting with Cloud Big Table.
One (1) year implementing code interacting with Cloud Distributed File Systems.
One (1) year implementing complex MapReduce analytics.
One (1) year implementing code interacting with Cloud Distributed Coordination Frameworks.
Education and Experience:
Bachelor's degree in Computer Science or a related discipline from an accredited college or university, plus eight (8) years of Software Engineering experience, including at least two (2) years supporting Big Data Cloud technologies and/or Distributed Computing.
Education/Experience Substitutions:
Four (4) additional years of Cloud Software Engineering experience on similar Big Data projects may substitute for a bachelor's degree.
A master's degree in Computer Science or a related discipline may substitute for two (2) years of experience.
A Cloudera Certified Hadoop Developer certification may substitute for one (1) year of Cloud experience.
Clearance Requirement:
Must possess an active TS SCI with appropriate Polygraph to be considered for this role
