ABOUT EGNYTE :

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content.

Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere.

The Monetization Infrastructure team is responsible for all the systems that power Egnytes back office: billing, customer intake, account lifecycle and many others.

This highly crucial function combines strong business attachment with technical complexity due to Egnytes scale and strong pace of innovation.

WHAT YOULL DO :

- Lead the Monetization Infrastructure engineering group, reporting to the Platform Engineering VP.
- Be hands-on and lead from the front; provide technical inputs and direction to the group, acting as a check and balance on key technical decisions and helping shape technical direction.
- Participate and contribute to system designs and code reviews.
- Ensure high quality operation of the systems under your responsibility.
- Drive a culture of ownership and continuous operational improvement.
- Collaborate with key stakeholders, such as Finance, Product Management and other Engineering groups,



to implement end-to-end use cases and support high quality of service.
- Champion fluent use of AI tools across the team and drive adoption of advanced AI-assisted software development lifecycle (SDLC) practices.

YOUR QUALIFICATIONS :

- Managed engineering teams of 15+ people in SaaS product companies, including experience leading managers.
- Hands-on: understand and be able to contribute to system designs.
- Past background as a staff engineer or architect with a track record of releasing widely adopted solutions.
- Experience in operating multi-tenant modules with high uptime and managing operational incidents.
- Past background in Python (mandatory) and Java (desirable).
- Understanding of cloud platforms (GCP, Azure or AWS) and infrastructure as code concepts is highly desirable.
- Experience in leading distributed teams.
- Fluent in applying AI tools across the engineering workflow, with a track record of driving advanced AI-driven SDLC adoption within a team.

ADVANTAGES :

- Competitive salaries
- Company equity depending on role and level
- Medical insurance and healthcare benefits for you and your family
- Fully paid premiums for life insurance
- Flexible hours and PTO
- Gym reimbursement
- Childcare reimbursement
- Group term life insurance

📌 Egnyte - Senior Engineering Manager - Distributed Systems (India)
🏢 Egnyte
📍 India