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Mid-level generalist backend role in Bangalore with broad stack requirements increases applicant competition.
Core backend skills transfer broadly, though healthcare domain experience is beneficial.
Explicit 4–7 years, mandatory Python, cloud, Docker/Kubernetes and backend experience enforce strict filters.
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Design, develop, and maintain scalable, reliable backend services and distributed systems powering AI-driven healthcare products.
Build secure, high-performance RESTful APIs and cloud-native microservices focusing on scalability, maintainability, and performance optimization.
Collaborate with cross-functional teams and participate in architecture discussions, troubleshoot production issues, and mentor junior engineers.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related discipline.
4–7 years of professional experience in backend or full-stack software engineering.
Proficiency in Python, experience with RESTful API design, scalable distributed systems, SQL/NoSQL databases, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Experience with CI/CD pipelines, version control (Git), and strong software architecture and system design skills.
Experienced engineer skilled in building cloud-native microservices and distributed backend systems for large-scale production environments.
Collaborative, able to work with product managers, AI researchers, and multiple technical disciplines to deliver complex healthcare solutions.
Able to drive engineering best practices, participate in technical design and architecture decisions, and mentor junior engineers.