Salary
≈ $21k – $52k per year (Estimated)
Location
In office (Mumbai)
Seniority
Staff · 5+ years exp
First seen by Alion on Oct 25, 2026.
Overview
Company
Impact
Profile match
QuickSell is a sales acceleration platform enabling businesses to to transform conversations to conversions using Personal Commerce.
Backed by Info Edge Ventures
As a Lead Backend Engineer at our dynamic tech company, you will play a pivotal role in shaping the backend architecture and leading a talented team of 5-6 engineers. Your expertise in a diverse tech stack and your leadership skills will be essential in driving our backend projects to success.
Responsibilities:
- Lead and mentor a team of 5-6 backend engineers, ensuring high-quality code delivery, adherence to best practices, and timely project completion.
- Implement efficient data storage and retrieval strategies.
- Work with Neptune and Gremlin to handle complex data structures and relationships.
- Conduct code reviews, enforce coding standards, and maintain high-quality software.
- Work closely with frontend teams, designers, and product managers to ensure seamless integration and alignment with business goals.
- Plan, track, and report on project progress. Manage resources effectively to meet deadlines.
Requirements:
- Expertise in Elasticsearch.
- Hands-on development using TypeScript, Node. JS, and NestJS to build robust and scalable backend systems.
- Proficient in managing databases, PostgreSQL and MongoDB.
- Bachelor's degree in Computer Science or related field.
- Minimum 5 years of experience in backend development.
- Strong proficiency in Node. JS, PostgreSQL and JavaScript.
- Strong experience in architecture and database design.
- Proven experience leading a team of engineers.
- Excellent problem-solving skills and attention to detail.
- Proven experience in scaling backend.
- Strong communication and collaboration skills.
- Experience in a fast-paced, agile environment.
- Prior experience in a similar lead role.
- Experience with Gremlin, Neptune, MongoDB, Elasticsearch, TypeScript, and BigQuery.
- Familiarity with AWS and its cloud-based services.
Skills
Elasticsearch, JavaScript, NestJS, Node.js, NodeJS, TypeScript, backend
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