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Salary
$20k – $55k per year (Estimated)
Location
Remote (India)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
FloBiz is a neo business platform that offers mobile solutions to digitize MSMEs. Its product MyBillbook is a mobile app that allows users to create invoices, manage their outstanding, and monitor their stock.

Responsibilities:

  • Design, develop, maintain and optimise complex, scalable and distributed systems capable of handling large-scale datasets and high-throughput workloads.
  • Optimise performance, reliability and availability across the whole system.
  • Write clean, efficient, and maintainable code in multiple programming languages as needed.
  • Contribute to architectural decisions and help improve engineering best practices.
  • Work with a builder mindset, contribute and collaborate across cross-functional teams to unblock and accelerate delivery. No role silos.
  • Actively mentor juniors through code reviews, design discussions and pairing.
  • Leverage LLM-assisted tools (Claude, Cursor, LLM-powered code review and testing) to accelerate development velocity and improve code quality.
  • Build and evolve the platform to be LLM-ready - design APIs, data pipelines and system interfaces that enable seamless LLM integration and automation.

Requirements:

  • 3-5 years of experience in back-end software development focusing on large-scale distributed systems.
  • BE/B. in Computer Science or a related technical field (or equivalent practical experience).
  • Strong software development skills in one or more languages such as Java / Ruby on Rails / Python.
  • Working experience with SQL and NoSQL databases (e. g., PostgreSQL, MongoDB) with ability to design effective schemas and perform various optimisations for large-scale data.
  • Deep understanding of system design principles and best practices for building scalable and resilient systems with microservices.
  • Excellent problem-solving with experience in incident management, monitoring, alerting, and root cause analysis.
  • Experience with event-driven architectures (Kafka, SQS, RabbitMQ, or similar).
  • Experience in building intelligent AI agents and systems powered by Large Language Models.
  • Hands-on experience with cloud platforms like AWS or Google Cloud Platform.
  • Deep understanding of software development best practices, patterns and code reviews.
  • Effective communication skills to coordinate with cross-functional teams during large-scale projects.
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