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Mid-level backend role, metro location, broad skillset, and common title increase candidate competition.
Core backend skills are broadly transferable across industries despite analytics preference.
Explicit 4–8 years requirement plus mandatory backend, cloud, and database skills enforce strict shortlisting.
Architect, develop, and maintain backend services, APIs, and microservices for multiple products with end-to-end ownership of one product’s backend.
Collaborate with front-end developers, data engineers, and product managers to build secure, scalable, and high-performance backend systems supporting data and AI platforms.
Lead backend architecture design, CI/CD setup, deployments, and iterative improvements post-pilot launch.
4-8 years of hands-on backend engineering or full-stack development experience in production-grade systems.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Proficiency in Python, Node.js, or Java with experience in frameworks like Django, FastAPI, Express.js, or Spring Boot.
Experience with microservices architecture, databases (PostgreSQL, MySQL, MongoDB, Redis), cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), CI/CD, and security best practices.
Strong engineering ownership with ability to lead backend architecture end-to-end in a fast-paced product environment.
Experience working cross-functionally in product teams involving front-end, data, and product management to deliver integrated solutions.
Familiarity with data analytics or AI-driven systems preferred to align with company’s focus on analytics and AI platforms.