At SiftHub, we are on a mission to make the life of sales and solutions teams more efficient and help them to focus on selling. SiftHub AI Sales Engineer empowers sales and pre-sales teams to improve win rates and close deals faster. SiftHub is an AI platform that acts as a central hub to collate and sift through all your content scattered across multiple repositories and tools such as Drive, Sharepoint, Confluence, CRM, Slack, product knowledge base. 

As an Engineering lead, you will be responsible for designing, developing, and delivering highly scalable and reliable solutions across backend and frontend systems while fostering a culture of technical excellence and innovation.

Whether you're an AI expert or an aspiring one, SiftHub offers an environment that supports and challenges you, enabling your growth and success. Join us today and help us shape the future of AI for enterprises!

Responsibilities:

• Lead, mentor, and build a high-performing engineering team - NLP, backend, frontend, DevOps & QA

• Drive the development of enterprise-grade SaaS solutions with a focus on scalability, security, and performance

• Collaborate with cross-functional teams, including product, sales, customer success teams, to build robust solutions

• Ensure best practices in software development, including code quality, testing, CI/CD, and performance optimization

• Oversee cloud infrastructure, ensuring high availability and scalability on AWS/Azure/GCP

• Drive key architectural decisions and conduct technical reviews, ensuring the long-term scalability, security, and efficiency of the system

• Leverage AI-powered development tools (e.g., Cursor, Replit) to accelerate engineering workflows and enhance team productivity

• Hire, build, and retain a world-class engineering team, ensuring continuous growth and development

Requirements:

• 12+ years of experience in software development, with expertise in B2B SaaS product development, including security, performance optimization, and enterprise integrations

• Strong experience in backend and frontend technologies and frameworks such as Python, Java, Spring Boot, React, Cloud

• Proficiency in leveraging AI-powered development tools (e.g., Cursor, Replit) to accelerate engineering workflows and boost team productivity

• Experience in hiring and managing high-performing engineering teams, ensuring technical excellence and collaboration

• Expertise in designing and scaling microservices-based architectures on cloud

• Strong knowledge of API design, database management (SQL and NoSQL), and distributed systems

• Excellent communication, leadership, and problem-solving skills