Job Description

LOCATION
Bangalore-India

THE ROLE
We are building a cloud-native platform with AI as the baseline. AI is not a feature layer. It defines how systems are designed, how data is structured, and how engineers think before building. AI in the product starts from system design and data modeling.

Engineers here are builders who own end-to-end delivery. You think about data schema, scale, and distributed systems before using AI tools. You own what you build including development, testing, release, and production operations.

TASKS AND RESPONSIBILITIES
Lead design and delivery of complex cloud services and cross-service workflows
Define architecture for services, data flows, and system interactions across teams
Make key decisions on:
data modeling for AI use cases
service decomposition
scaling strategies and trade-offs
Establish and enforce best practices for:
testing strategy
CI/CD
observability and operational readiness
Drive service reliability, performance, and cost optimization at scale
Lead design reviews and mentor senior engineers




Own resolution of complex production issues involving multiple systems
Influence how AI is integrated into product and platform design
Collaborate across teams to align architecture and delivery

EXPERIENCE AND QUALIFICATIONS
University degree in computer science, mathematics, IT or relevant qualified experience with qualified technical training
4 to 5 years of relevant experience
Strong fundamentals in distributed systems and cloud-native architecture
Proficiency in at least one modern programming language (Go, Java, C++, Python, Rust, or similar) with experience building production-quality services
Experience building and operating production services
Understanding of scalability, reliability, and security
Working Experience in integrating services with build pipeline, and cloud service ownership
Ability to use AI tools effectively while applying engineering judgment
Working under minimal supervision
Take responsibil

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