Senior Engineering Manager

🕒 July 30

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Egnyte

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

🏗️ Construction

💰 Private Equity Round - Egnyte on 2025-02

Consulting • Healthcare • Construction

Egnyte is an AI-powered content cloud and enterprise file-sharing platform that provides secure file storage, collaboration, and governance. It enables teams to access and co-edit large and complex files from the cloud via desktop and web apps, integrates with common productivity and cloud platforms, and adds AI features (assistant, agents, AI search, workflows) for insights and automation. Egnyte also includes built-in data governance, compliance automation, ransomware detection, and sensitive-data protection to meet enterprise regulatory needs.

📋 Description

• 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

• 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

• 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