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Strong brand, metro Bangalore location, and a mid-level generalist product/backend role attract many applicants.
Core backend, microservices, and cloud skills are highly transferable across industries.
Explicit 5–8 years plus mandatory cloud, microservices, and programming language requirements enforce strict filtering.
Drive end-to-end development of market-ready product components using AI-augmented tools with minimal supervision.
Design, implement, and maintain scalable microservices, APIs, event-driven architectures, and data pipelines for cloud-native deployments.
Validate AI-generated code, ensure high software quality, and integrate AI frameworks to automate engineering workflows.
5 to 8 years of relevant software/product engineering experience.
Strong programming skills in Java, Python, Go, or TypeScript.
Experience with microservices architecture, REST/GraphQL APIs, distributed systems, databases (SQL/NoSQL), and cloud platforms like AWS/Azure/GCP focusing on containers and orchestration.
Mandatory hybrid work model with minimum 3 days per week in Bangalore office.
Experienced in using and evaluating AI engineering tools like GitHub Copilot, Cursor, Claude to accelerate development.
Proficient in cloud-native application design with focus on scalable, observable, secure architectures.
Able to own full product lifecycle from concept to production in Agile, cross-functional teams with product management and design collaboration.