Packaged/SaaS Application Engineer

Project Role : Packaged/SaaS Application Engineer

Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.

Must have skills : Machine Learning (ML)

Good to have skills : NA

Minimum 2 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a Packaged/SaaS Application Engineer, a typical day involves configuring and supporting packaged or software as a service applications to tailor features according to evolving business requirements. The role includes managing application releases and ensuring the overall stability and performance of the systems. The engineer works with various tools, application programming interfaces, and low-code platforms to deliver solutions that align with organizational goals while maintaining compatibility across different environments. Collaboration with stakeholders to understand needs and adapt applications accordingly is a key part of daily activities.

Roles & Responsibilities

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to gather requirements and implement application enhancements.
• Monitor application performance and troubleshoot issues to maintain system reliability.
• Document configuration changes and maintain knowledge bases for future reference.
• Assist junior team members by sharing knowledge and providing guidance on best practices.
  
  

Professional & Technical Skills

• Must To Have Skills: Proficiency in Machine Learning (ML).
• Experience with integrating machine learning models into packaged or software as a service applications.
• Strong understanding of application programming interfaces and their use in system integration.
• Familiarity with low-code platforms to customize and extend application functionality.
• Ability to analyze system performance and optimize configurations for stability and scalability.
• Experience in troubleshooting and resolving technical issues within complex application environments.
  
  

Additional Information

• The candidate should have minimum 2 years of experience in Machine Learning (ML).
• This position is based at our Gurugram office.
• A 15 years full time education is required.