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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: Implement well-scoped cloud services, APIs, and features with guidance Contribute to data models and service components for AI-enabled workflows Write and maintain unit and integration tests for owned features Participate in CI/CD pipelines and deployment processes Support production systems, troubleshoot issues, and contribute to fixes Follow established patterns for scalability, reliability, and security Use AI tools to accelerate development while learning engineering fundamentals Collaborate with senior engineers on design and implementation EXPERIENCE AND QUALIFICATIONS: Universitydegree in computer science, mathematics, ITor relevant professional experience with qualified technical training 4 to 5 years of relevant experience Strong fundamentals in distributed systems and cloud-native architecture Experience building and operating production services Understanding of scalability, reliability, and security Experience with automation, CI/CD, and service ownership Ability to use AI tools effectively while applying engineering judgment Working under minimal supervision Takes responsibility proactively
Implement well-scoped cloud services, APIs, and features with guidance
Contribute to data models and service components for AI-enabled workflows
Write and maintain unit and integration tests for owned features
Participate in CI/CD pipelines and deployment processes
Support production systems, troubleshoot issues, and contribute to fixes
Follow established patterns for scalability, reliability, and security
Use AI tools to accelerate development while learning engineering fundamentals
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Collaborate with senior engineers on design and implementation
Universitydegree in computer science, mathematics, ITor relevant professional experience with qualified technical training
4 to 5 years of relevant experience
Strong fundamentals in distributed systems and cloud-native architecture
Experience building and operating production services
Understanding of scalability, reliability, and security
Experience with automation, CI/CD, and service ownership
Ability to use AI tools effectively while applying engineering judgment
Working under minimal supervision
Takes responsibility proactively
Privately held endpoint OS software company serving enterprises using SaaS, DaaS, VDI, and secure browsing.
Visit company websiteJobs and hiring trendsFull-time
Mid · 4+ years experience
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