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Job Views:  
89
Applications:  37
Recruiter Actions:  18

Posted in

IT & Systems

Job Code

1644771

Head - Software Engineering - SaaS

NETSYSCON CONSULTING LLP.15 - 20 yrs.Hyderabad
Posted 1 week ago
Posted 1 week ago

We are seeking a Director of Engineering for a funded AI SaaS

Job Profile:

- Technology Leadership: Define and drive the technical vision and strategy, particularly in building scalable, distributed, and high-performance systems.

- System Architecture: Lead design discussions and architectural reviews, ensuring systems are robust, secure, and capable of supporting rapid scale.

- People Leadership: Manage and grow a team of engineers, including senior/principal engineers; foster a culture of ownership, innovation, and engineering excellence.

- Cross-Functional Collaboration: Partner with product, data, and AI/ML teams to align technical execution with business priorities.

Execution & Delivery: Ensure timely, high-quality delivery of critical projects, balancing long- term architecture with short-term business needs.

- Mentorship: Coach and develop engineering managers and senior engineers, building leadership capacity within the team.

- Innovation: Stay current with advances in cloud, SaaS, AI/ML, and distributed systems; champion adoption of modern technologies and practices where relevant.

Director of Engineering Requirements:

- 5+ years of professional experience in software engineering, with significant time spent in SaaS product companies.

- Stack- Node.js + strong frontend exposure

- Proven expertise in system design, distributed systems, and cloud-native architectures.

- Strong track record of technology leadership, influencing architectural direction, and driving organizational change.

- Hands-on ability to evaluate and guide technical choices across programming languages (Python, Node.js, or similar) and cloud platforms (AWS, GCP, Azure).

- Excellent leadership, communication, and stakeholder management skills.

Preferred Qualifications:

- Prior experience in high-growth startups or rapidly scaling product organizations.

- Exposure to AI/ML systems, LLMs, or agentic architectures.

- Contributions to open-source projects or published technical thought leadership.

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Posted By

Job Views:  
89
Applications:  37
Recruiter Actions:  18

Posted in

IT & Systems

Job Code

1644771

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