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Tier-1 brand, popular backend lead role, and metro location increase applicant density.
Core backend, Python, microservices and cloud skills are transferable, but telecom R&D domain adds some specificity.
Explicit 8–12 years requirement plus many mandatory technical skills (Python, Kubernetes, cloud, CI/CD) yields strict filters.
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Architect and develop scalable, high-performance backend web applications using Python.
Lead and mentor a development team, including conducting code reviews and fostering excellence.
Collaborate with cross-functional teams to deliver cloud-native AI/ML big-data analytics solutions for telecom operators.
8–12 years of professional experience in backend development with strong Python focus.
Bachelor's or Master's degree in Computer Science, Information Technology, or related field from accredited institution.
Proficiency in Python frameworks (Django, Rest API, Flask, FastAPI), Microservices architecture, RESTful APIs, asynchronous programming, Kubernetes, containerization (Docker), cloud platforms (AWS/Azure/GCP).
Experience with DevOps practices including CI/CD pipelines (Jenkins, Spinnaker), automated testing, databases (MySQL, NoSQL), and ML libraries (Pandas, NumPy).
Experienced in end-to-end cloud-native product development, combining backend engineering and AI/ML data analytics domains.
Capable of operating in a fast-paced, collaborative R&D environment requiring cross-functional teamwork and leadership.
Strong architecture and system design capabilities focusing on scalable, secure, and testable backend systems.