12 years
0 Lacs
Posted:4 weeks ago|
Platform:
Remote
Full Time
Job Title: Tech Lead / Associate Engineering Manager for Proctor 365
Location: Noida / Ahmedabad
Role Type: Full-Time (Work From Office)
Shift Timing: 4:00 PM – 1:00 AM
Compensation: Based on market standards
About Proctor 365
Proctor 365 is an AI-based remote proctoring platform designed to deliver secure, scalable, and seamless online examination experiences. By leveraging advanced computer vision, audio analytics, and real-time monitoring, we help organizations conduct reliable online assessments with integrity.
We’re looking for a Tech Lead / Associate Engineering Manager who is passionate about building scalable products, leading teams, and working in a fast-paced startup environment.
Key Responsibilities
• Lead end-to-end product development and deployment for the Proctor 365 platform.
• Manage, mentor, and grow a high-performing engineering team.
• Design and implement scalable, reliable, and secure system architectures.
• Contribute hands-on to coding, architecture design, and performance optimization.
• Conduct code reviews and ensure adherence to best practices and coding standards.
• Collaborate cross-functionally with Product, AI/ML, and DevOps teams.
• Stay current with emerging technologies and continuously improve system performance and team productivity.
Key Skills
• Strong problem-solving and system design expertise.
• Hands-on experience with:
◦ Backend: Node.js, Python
◦ Frontend: React.js
◦ Messaging & Streaming: WebSockets, RabbitMQ, Kafka
◦ Databases: MongoDB, PostgreSQL
◦ Caching & Monitoring: Redis, Kibana
◦ DevOps: CI/CD, Docker, Kubernetes
• Familiarity with AI/ML model integration (preferred exposure to proctoring-related models):
◦ Face Detection – BlazeFace
◦ Face Recognition – w600k_r50
◦ Gaze Detection – MediaPipe
◦ Object Detection – YOLO
◦ Audio Classification – YAMNet
◦ Spoof Detection – SilentFace
Good to Have
• Experience working on AI-driven proctoring or edtech/proctoring platforms.
• Exposure to AI/ML model optimization or inference pipelines.
Qualifications & Experience
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 8–12 years of experience in full-stack product development, including 2+ years in a team leadership or managerial role.
• Proven experience in building scalable, high-availability systems.
Why Join Us
• Work on an innovative AI-driven platform with global reach.
• Collaborative, high-impact startup culture.
• Ownership, autonomy, and opportunities for growth as we scale.
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