Role: Director of Engineering
Location: On-Site Hyderabad
About the Role
We are seeking an experienced Director of Engineering to lead our growing engineering
organization. This role is ideal for a technology leader who has architected and scaled complex
systems in high-growth SaaS environments, and who thrives at the intersection of technology,
people, and business impact.
The Director of Engineering will drive system architecture decisions, shape engineering culture,
and mentor and grow high-performing teams while staying hands-on enough to make sound
technical judgments.
Key Responsibilities
• 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.
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.
Why Join Us?
• Lead engineering at a pivotal stage of growth, shaping technology and team culture.
• Work on complex and cutting-edge problems in distributed systems and AI.
• Build and mentor a world-class team with the autonomy to make lasting impact.
• Competitive compensation and benefits.
If you are a technology leader, system architect, and people-first manager who thrives on
building at scale, we’d love to hear from you!
Skills Required
- 8+ years of professional experience in software engineering
- 4+ years of experience in people management, leading engineers and/or engineering managers
- Proven expertise in system design, distributed systems, and cloud-native architectures
- Hands-on ability to evaluate and guide technical choices across programming languages (Python, Node.js, or similar)
- Hands-on ability to evaluate and guide technical choices across cloud platforms (AWS, GCP, Azure)
- Strong track record of technology leadership, influencing architectural direction, and driving organizational change
- Excellent leadership, communication, and stakeholder management skills
- 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
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.








