Founding Engineer

Skyfall AI

Bengaluru

On-site

INR 1,400,000 - 2,400,000

Full time

4 days ago
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Job summary

Skyfall AI is seeking a backend engineer to design, develop, and maintain scalable backend systems from ground up. You will own architecture, design, testing, and deployment, building robust APIs and core platform components.

Work closely with founders and product teams to translate business needs into technical solutions. You will make key architectural decisions for scalability and performance, and contribute to engineering culture and standards.

Qualifications

  • 4-6 years of professional backend/software engineering experience.
  • Strong programming in Python, Java, Go, or Node.js.
  • Solid knowledge of data structures, algorithms, OOP, and software fundamentals.
  • Experience designing REST APIs and backend services.
  • Strong SQL/database concepts.
  • Experience with microservices, distributed systems, or scalable architectures.
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Good understanding of Git, testing, CI/CD, and deployment.
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a fast-paced startup environment.

Responsibilities

  • Design, develop, and maintain scalable backend systems from ground up.
  • Own backend architecture, design, development, testing, and deployment.
  • Build robust APIs, services, and core platform components.
  • Collaborate with founders and product teams to translate business needs into scalable technical solutions.
  • Make key architectural decisions for scalability and performance.
  • Develop solutions for complex problems involving data, distributed systems, and AI-powered applications.
  • Build and integrate backend services that support AI/ML and Generative AI use cases.
  • Establish engineering best practices around code quality, testing, observability, deployment, and reliability.
  • Take end-to-end ownership of projects from design to production.
  • Contribute to building the engineering culture, technical standards, and foundation of the organization.

Skills

Python
Java
Go
Node.js
REST APIs
SQL
Data structures
Distributed systems
Microservices
Cloud platforms
Git
CI/CD

Tools

AWS
GCP
Azure
Docker
Kubernetes

Job description

Responsibilities:

  • Design, develop, and maintain scalable and reliable backend systems from the ground up.
  • Own backend architecture, technical design, development, testing, and deployment.
  • Build robust APIs, services, and core platform components.
  • Work closely with founders and product teams to translate business requirements into scalable technical solutions.
  • Make key decisions around system architecture, technology selection, scalability, and performance.
  • Develop solutions for complex problems involving data, distributed systems, and AI-powered applications.
  • Build and integrate backend services that support AI/ML and Generative AI use cases.
  • Establish engineering best practices around code quality, testing, observability, deployment, and reliability.
  • Take end-to-end ownership of projects from design and development through production.
  • Contribute to building the engineering culture, technical standards, and foundation of the organization.

Requirements:

  • 4-6 years of professional experience in backend/software engineering.
  • Strong programming experience in one or more backend languages such as Python, Java, Go, or Node.js .
  • Strong understanding of data structures, algorithms, object-oriented programming, and software engineering fundamentals.
  • Hands-on experience designing and developing REST APIs and backend services.
  • Strong understanding of database concepts and SQL.
  • Experience with microservices, distributed systems, or scalable backend architectures.
  • Experience working with cloud platforms such as AWS, GCP, or Azure.
  • Good understanding of software development practices, including Git, testing, CI/CD, and deployment.
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a fast-paced, early-stage startup environment.
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