Vice President Engineering

Hiringeye Solutions; Bengaluru; Hybrid; INR 3,500,000 - 9,000,000; Full time

Job summary

Hiringeye Solutions in Bangalore, India is seeking a strategic and hands-on VP of Engineering to lead enterprise product delivery, cloud architecture, and AI innovation. You will manage cross-functional engineering teams and scale our proprietary platform using advanced AI, ML, and GenAI capabilities.

Responsibilities include defining tech vision, building scalable microservices, driving DevOps excellence, and mentoring senior engineers while partnering with the CEO on client delivery and

Qualifications

• 11-16 years of enterprise software engineering experience (B2B SaaS).
• Proven track record in scaling AI/ML prototypes to production.
• Proficient in Java, Python, JavaScript stacks and distributed systems.
• Experience with cloud platforms and CI/CD in Agile environments.

Responsibilities

• Define tech vision, architecture for scalable microservices and cloud-native systems on AWS/Azure/GCP.
• Lead AI/GenAI strategy, architecture for LLMs and autonomous workflows.
• Oversee engineering operations, DevOps, CI/CD, QA, uptime and cost optimization.
• Hire and mentor full-stack and ML engineers; align with exec on delivery and strategy.

Skills

AI Expertise

Enterprise software engineering

Team Leadership

Tools

Java

Python

JavaScript (React, Node.js, Angular)

SQL/NoSQL databases

Microservices

Distributed systems

AWS

Azure

GCP

Job description

Job Description: VP of Engineering

Location: Bangalore, India

Reports To: CEO

Role Overview

One of our Client is seeking a strategic and hands‑on VP of Engineering to lead enterprise product delivery, cloud architecture, and AI innovation. You will manage cross-functional engineering teams and scale our proprietary platform using advanced AI, ML, and GenAI capabilities.

Key Responsibilities

• Tech Vision & Architecture: Define long-term product roadmaps and deliver scalable, secure microservices and cloud-native systems on AWS, Azure, or GCP.
• Mission AI & GenAI: Spearhead AI/ML strategy, owning the architecture for LLMs, AI agents, autonomous workflows, and intelligent document automation.
• Engineering Operations: Oversee platform engineering, DevOps, CI/CD, Quality Engineering, system uptime, and cost optimization.
• Team Leadership: Hire, mentor, and scale high‑performing Full‑Stack and ML engineering teams. Partner with executive leadership on client delivery and product strategy.

Qualifications & Skills

• Experience: 11to16 years in enterprise software engineering (B2B SaaS).
• AI Expertise: Track record of scaling early‑stage AI/ML prototypes into enterprise production platforms.
• Tech Stack: Java, Python, JavaScript (React, Node.js, Angular), SQL/NoSQL databases, microservices, and distributed systems.
• Cloud & DevOps: Modern cloud infrastructure (AWS/Azure/GCP), CI/CD pipelines, and Agile methodologies.