Engineering Manager - Full Stack Technologies

Description :

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:

- 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.

- 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.

- Collaboration : Partner closely with Product, ML/AI, and Business stakeholders to understand requirements, prioritize work, and deliver solutions aligned with the company roadmap.

- 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.

- Operational Excellence : Ensure reliable operations, monitoring, and maintenance of cloud services (AWS), with an emphasis on security, multi-tenancy, and high availability.

- Team Development : Recruit talented engineers and foster a culture of learning, creativity, and ownership.

- Provide mentorship, feedback, and growth opportunities to team members.

- 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.

- 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.

- Bachelors or Masters degree in Computer Science, Engineering, or a related field from a reputed institute).

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.

Benefits & Perks :

- Competitive compensation package

- Early-stage equity options

- Comprehensive health and Medical insurance benefits.

- PTO and flexible work arrangements

- Opportunity to shape the future of AI in enterprise finance

- Collaborative, innovation-driven culture