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Salary
$44k – $111k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Principal · 8+ years exp
Overview
Company
Impact
Profile match
Helfie is a healthtech platform that uses smartphone sensors to deliver instant health screening, AI wellness insights, preventive care, and optimized well-being for improving health outcomes for 8+ billion people.

Responsibilities:

  • Own the architecture and technical direction of large-scale backend systems.
  • Design and build highly scalable, reliable, and fault-tolerant distributed systems.
  • Drive High-Level Design (HLD) and Low-Level Design (LLD) for complex systems and services.
  • Remain hands-on with coding, code reviews, technical design, and debugging.
  • Design and evolve microservices and service-oriented architectures.
  • Build event-driven systems and asynchronous processing pipelines.
  • Apply Domain-Driven Design (DDD) to develop scalable and maintainable systems.
  • Design systems using CQRS and event sourcing where appropriate.
  • Make architectural decisions around data consistency, availability, scalability, and performance.
  • Design robust APIs and service contracts.
  • Identify and resolve scalability, reliability, and performance bottlenecks in production systems.
  • Establish engineering standards, design principles, and best practices across teams.
  • Mentor senior engineers and provide technical leadership across complex initiatives.
  • Collaborate closely with Product, Engineering, Data, AI/ML, and other cross-functional teams.
  • Lead architecture reviews and drive continuous improvement of the technology platform.

Requirements:

  • 8+ years of experience in backend/software engineering.
  • Strong hands-on programming and software engineering experience.
  • Proven experience designing and architecting large-scale production systems.
  • Strong expertise in system design and software architecture.
  • Experience owning or leading technically complex production platforms.
  • Strong understanding of distributed systems and scalability patterns.
  • Experience with microservices / service-oriented architecture.
  • Strong understanding of event-driven architecture.
  • Practical experience with CQRS, event sourcing, and domain-driven design (DDD).
  • Strong understanding of databases, data modeling, transactions, and data consistency.
  • Strong experience designing scalable APIs and service interfaces.
  • Strong understanding of reliability, fault tolerance, high availability, and performance optimization.
  • Excellent understanding of HLD and LLD.
  • Strong knowledge of software engineering principles, design patterns, clean code, and coding best practices.
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