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Director of Engineering - Backend Architecture

NETSYSCON CONSULTING LLP
Hyderabad
8 - 14 Years

Posted on: 19/11/2025

Job Description

Description :

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 :

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


- 4+ years of experience in people management, leading teams of engineers and/or engineering managers.


- 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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