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Senior Software/Principal Engineer (Backend)

RemoteStar

5 - 10 years

Hyderabad

Posted: 21/02/2026

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Job Description

About the Company:


Our client is an AI-powered SaaS platform transforming how enterprise software implementations are delivered. By automating complex deployment workflows across multi-tenant environments, the platform enables SaaS vendors to significantly accelerate go-live timelines while ensuring reliability, auditability, and scalability.


Backed by leading venture investors, the company operates at the intersection of distributed systems, cloud-native architecture, and AI-driven workflow automation.


Role Overview:


Our client is looking for strong backend engineers to build and scale their core platform.


You will work on high-impact systems powering enterprise-grade, AI-driven automation across large-scale SaaS environments.


Key Responsibilities:


  • Design and build scalable, multi-tenant SaaS systems
  • Develop high-performance backend services and APIs
  • Contribute to or lead distributed system architecture decisions
  • Improve reliability, observability, scalability, and performance
  • Build cloud-native systems on AWS/GCP/Azure
  • Collaborate with product, data, and AI teams to deliver robust solutions
  • Uphold strong engineering standards across testing, CI/CD, and code quality


What Were Looking For:


  • 5+ years of backend software engineering experience in product/SaaS companies
  • Strong proficiency in Python, Node.js, or similar backend technologies
  • Solid understanding of distributed systems and system design principles
  • Experience working with cloud platforms (AWS/GCP/Azure)
  • Strong fundamentals in scalability, performance, and clean architecture
  • Experience building and maintaining production-grade systems
  • Demonstrated ownership of architecture decisions
  • Deep expertise in designing scalable distributed systems
  • Experience mentoring senior engineers and driving engineering standards
  • Ability to influence technical direction across teams


Preferred Qualifications:


  • Exposure to AI/ML systems, LLMs, or workflow automation platforms
  • Experience in high-growth startup environments
  • Strong DevOps and CI/CD experience

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