Onit CLM Platform Engineer

Maintain and Support: Ensure the Onit CLM platform is running smoothly by performing regular maintenance, troubleshooting issues, and providing technical support to users.
•       Enhance: Identify opportunities for improvement and implement enhancements to the platform to meet evolving business needs.
•       Integration: Work with other systems and teams to integrate the Onit CLM platform with other enterprise applications.
•       Customization: Develop custom solutions and configurations to tailor the platform to specific client requirements.
•       Documentation: Create and maintain comprehensive documentation for the platform, including user guides, technical specifications, and support procedures.
•       Collaboration: Collaborate with cross-functional teams, including product management, QA, and customer support, to ensure seamless delivery of solutions.
•       Training: Provide training and support to end-users to maximize the platform’s effectiveness.
Qualifications:
•       Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
•       Experience: Minimum of 5 years of experience in software engineering, with a focus on platform maintenance and support.
•       Technical Skills:
o       Proficiency in programming languages such as Java, Python, or similar.
o       Experience with SQL and database management.
o       Knowledge of web technologies including HTML, CSS, JavaScript, and RESTful APIs.
o       Experience with AWS cloud platforms.
•       Onit CLM Expertise: Knowledge of the Onit CLM platform and its functionalities is desired. Training and certification will be provided to the selected candidate
•       Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex issues.
•       Communication: Excellent verbal and written communication skills.
•       Team Player: Ability to work effectively in a collaborative team environment.
Preferred Qualifications:
Certification in Onit or other CLMs