Back
Strong brand, Bangalore metro location, mid-level generalist backend title, and broad skillset make competition high.
Backend engineering skills transfer across industries, though GenAI and cloud experience increases domain specificity.
Explicit four-year minimum, degree requirement, and mandatory backend/cloud/Kubernetes skills raise strictness to high.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain scalable backend solutions for Generative AI and Agentic AI projects, including event-driven architectures and API integrations.
Manage data storage using relational and NoSQL databases to support AI applications in production.
Implement DevOps practices with containerization and CI/CD pipelines for deployment and scalability, collaborating with cross-functional teams including product, ML, and DevOps.
Bachelor's and Master's degrees required.
Minimum 4 years of work experience.
Proficiency in English (oral and written).
Experience in backend development, database management (PostgreSQL, MySQL, MongoDB, DynamoDB), containerization (Kubernetes), and DevOps (CI/CD pipelines with Azure DevOps, GitHub Actions).
Experienced with LLM interaction frameworks (LangChain, Semantic Kernel, LlamaIndex) and deploying GenAI applications in production.
Advanced Python skills including OOP, asynchronous programming, concurrency, and performance optimization for scalable GenAI systems.
Strong foundation in data structures, algorithms, software design principles, cloud-native development (Azure/AWS), and experience with additional OOP languages (Java, C++, C#).