
CloudEagle.ai helps IT, security & Procurement teams manage, govern & renew all their SaaS apps from one single platform. With CloudEagle.ai, enterprises like RingCentral, Shiji, Recroom make SaaS…

CloudEagle.ai helps IT, security & Procurement teams manage, govern & renew all their SaaS apps from one single platform. With CloudEagle.ai, enterprises like RingCentral, Shiji, Recroom make SaaS…
Founded: 2021
Core product: AI-powered SaaS management, identity & procurement governance platform
Integrations: 500+ direct integrations
Customer benefits: Visibility, license optimization, renewals, and reported 10–30% software spend savings
YC-backed: Y Combinator W22
SaaS management, identity governance, license optimization, and procurement automation for enterprises
2021
IT Services and IT Consulting
Seed funding round recorded
“Backed by Y Combinator (W22); Crunchbase lists multiple investors including Nadav Ben-Chanoch”
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About the company:
CloudEagle.ai helps IT, Security, and Procurement teams manage, govern, and renew their SaaS applications from a single platform, enabling enterprises like RingCentral, Shiji, and Recroom to simplify SaaS operations and save 10–30% on software spend. Recognized by Gartner as one of the most innovative AI/ML players in SaaS management and by GigaOm as a Leader in Innovation & Platform Play, we are looking for an enthusiastic Java intern who is eager to build and scale deeply technical SaaS products.
Shift Timing: 3:00 PM to 12:00 AM IST
About the role:
We’re looking for an Associate Java Developer Intern to work closely with our backend team for 6 months. This is an Intern-to-Hire opportunity , so strong performers can convert to full-time.
Compensation
Roles & Responsibilities
Requirements
What We Offer
Internship to Full-Time Conversion Model
You’ll join as a 6-month intern. Based on your performance (coding, problem-solving, ownership, and communication), you may receive a full-time offer at the end of the internship.
This structure allows candidates to gain hands-on experience working on real production systems while giving us an opportunity to evaluate long-term potential.
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