Posted:3 days ago|
Platform:
On-site
Full Time
Location: Coimbatore (On-site preferred)
Experience: 10–15+ Years
Industry: SaaS / AI / Enterprise Software
Company: Fast-growing technology group building multiple AI-driven enterprise products
We are looking for a high-ownership, hands-on Head of Engineering to lead the full development lifecycle of our multi-product enterprise software ecosystem. The organisation is building advanced platforms across FinanceTech, HRTech, and MobilityTech, with deep integration of AI, automation, and real-time analytics.
The role demands a strong technical leader who can drive architecture, manage engineering teams, guarantee delivery timelines, and implement AI at scale.
1. Engineering Leadership
• Lead a 25–35 member in-house engineering team (Frontend, Backend, Mobile, DevOps, DB, QA, R&D).
• Establish a delivery-driven engineering culture with strong sprint discipline.
• Own architectural decisions, code quality, and engineering governance.
2. Product Architecture & Platform Scaling
• Architect scalable, secure, multi-tenant SaaS systems.
• Build modular microservice architectures with API-driven workflows.
• Ensure performance, reliability, and high availability across all products.
3. AI & Automation Implementation
• Lead AI-powered features such as:
• Data extraction & ML models
• NLP/LLM-based workflows
• Predictive analytics
• Automation of repetitive business processes
• Mentor team members in AI implementation and integration.
4. Delivery Ownership
• Own planning, sprints, releases, and timelines for multiple products running in parallel.
• Conduct weekly engineering reviews and ensure timely releases.
• Identify & remove blockers early and manage risks effectively.
5. Security, Compliance & Data Governance
• Implement secure coding, data privacy controls, and compliance frameworks.
• Drive standards for encryption, user access, audit trails, and data protection.
6. Team Development
• Recruit, mentor, and upskill engineers across all levels.
• Build a culture of ownership, accountability, and continuous improvement.
• Introduce best practices in code reviews, DevOps, and automation.
Technical Expertise
• 10–15 years of engineering experience with minimum 4–5 years in a leadership role.
• Strong hands-on knowledge in:
• Python, FastAPI, Node.js, React
• Microservices, Cloud (AWS/Azure), Kubernetes
• AI/ML, NLP, OCR, LLM-based automation
• SQL/NoSQL databases, API integrations
• Experience building scalable SaaS or enterprise platforms.
Leadership Capabilities
• Ability to manage 20–40 member engineering teams.
• Strong planning, execution, and problem-solving skills.
• Excellent communication and stakeholder management.
Mindset
• Strong ownership and accountability.
• High discipline in timelines and deliverables.
• Passion for building large-scale products from scratch.
• Ability to work closely with founders and drive product vision.
Nubiznez Pvt Ltd
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