About the Role :
We are seeking an experienced Engineering Manager to lead our talented team of engineers building state-of-the-art, generative AI-powered SaaS solutions for enterprise finance. You'll manage a team of full-stack engineers working at the intersection of cutting-edge AI technology and practical enterprise solutions, driving both technical excellence and business impact in the FinTech space.
Key Responsibilities :
1.
Technical Leadership :
- Lead, mentor, and grow a high-performing team of 6-10 full-stack engineers.
- Provide technical guidance on architecture, design, and development of cloud-native SaaS applications integrating advanced AI/ML features.
2.
Product Delivery :
- Own the end-to-end delivery and technical execution of our core product areas, ensuring robust, secure, and scalable systems that exceed customer expectations.
3.
Collaboration :
- Partner closely with Product, ML/AI, and Business stakeholders to understand requirements, prioritize work, and deliver solutions aligned with the company roadmap.
4. Innovation & Best Practices :
- Champion engineering best practices, code quality, CI/CD, DevOps, and the use of modern development methodologies (Agile, TDD, code reviews, etc.), including adoption of new AI tools and frameworks.
5.
Operational Excellence :
- Ensure reliable operations, monitoring, and maintenance of cloud services (AWS), with an emphasis on security, multi-tenancy, and high availability.
6.
Team Development :
- Recruit talented engineers and foster a culture of learning, creativity, and ownership.
- Provide mentorship, feedback, and growth opportunities to team members.
7.
Stakeholder Communication :
- Clearly communicate project status, technical direction, and risks to leadership and cross-functional partners.
- Should exhibit a dynamic, energetic approach and consistently demonstrate strong responsiveness.
Qualifications :
- 2 years of experience managing engineering teams delivering SaaS products, ideally in B2B/enterprise software.
- 10 years of hands-on software development work, including leading complex projects.
- Bachelors or Masters degree in Computer Science, Engineering, or a related field from a reputed institute.
- Proven experience with modern full-stack (Node.js, React.js/TypeScript, Python) and AI/ML-enabled solutions (LLMs, generative AI, prompt engineering).
- Expertise integrating with AWS services (or any other commercial Cloud services).
- Strong background in system design, data modeling (RDBMS/NoSQL), and scalable microservices architectures.
- Demonstrated ability to attract, mentor, and lead high-performing and geographically distributed engineering teams.
- Strong project management, agile processes, and product delivery track record.
- Excellent communication and collaboration skills across technical and business audiences.
- Must be located in or near Hyderabad, Telangana to be considered.
Preferred Qualifications :
- Experience in FinTech or Financial domain.
- Familiarity with emerging AI tools and technologies on GenAI.
- Track record of building and scaling engineering organizations at startup/growth-stage companies.
- Familiarity with enterprise integrations (SSO, email, etc.) and multi-tenant SaaS environments.