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Tier-1 brand and metro location but senior, specialized technical requirements reduce applicant density.
Core Python, microservices and cloud skills are transferable, though telecom R&D domain knowledge raises specificity.
12+ years mandatory plus extensive required tech stack, cloud, Kubernetes and testing expertise.
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Architect and develop scalable backend web applications using Python with a focus on performance and efficiency.
Lead and mentor a team of developers, conduct code reviews, and maintain high-quality coding standards.
Collaborate with cross-functional teams to deliver integrated cloud-native AI/ML big-data analytics solutions for telecom operators.
Minimum 12 years of professional backend development experience, primarily in Python.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field from recognized institutions.
Proficiency with Python frameworks (Django, REST API, Flask, FastAPI), Microservices architecture, RESTful APIs, asynchronous programming.
Experience with Kubernetes, cloud platforms (AWS/Azure/GCP), containerization (Docker), DevOps tools (CI/CD pipelines like Jenkins, Spinnaker), databases (MySQL, NoSQL).
Experienced leader able to manage and mentor a development team within an Agile and DevOps environment.
Strong expertise in cloud-native backend development focused on scalable AI/ML big-data analytics software.
Technical owner comfortable contributing to system design, architecture, and implementing security best practices.