Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Egnyte

Senior Engineering Manager

Egnyte

Senior Engineering Manager leading the Monetization Infrastructure team for Egnyte. Overseeing system designs and driving AI adoption within engineering workflows.

Posted 7/30/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams, particularly in SaaS environments, with a strong focus on operational excellence and the adoption of AI-driven software development practices. Proficient in Python and experienced in cloud platforms, ensuring high-quality system design and performance.

Highest-signal resume keywords
Team LeadershipPython ProgrammingCloud Platforms (GCP, Azure, AWS)AI-Driven Software Development LifecycleSystem Design and Code Review

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Python ProgrammingJava ProgrammingSystem DesignOperational Incident ManagementInfrastructure as Code
Soft Skills
CollaborationOwnershipContinuous Improvement
Tools & Technologies
AI ToolsSaaS ProductsMulti-Tenant Modules
Industry Keywords
Monetization InfrastructurePlatform EngineeringEngineering Management

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaPythonSDLC

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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