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

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, multitenancy, 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.

Bachelor’s or Master’s 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 highperforming and geographically distributed engineering teams.

Solid 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.

Pay: ₹666,557.19 - ₹2,303,159.73 per year

Work Location: Hybrid remote in Gachibowli, Hyderabad, Telangana

📌 Engineering Manager (Gachibowli)
🏢 Auditoria
📍 Gachibowli