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Common mid-level backend title, Bengaluru metro location, and broad skillset increase applicant competition.
Core backend and platform skills are transferable across industries, though supply-chain domain knowledge is preferred.
Multiple explicit years requirements and mandatory technologies (Python, Kubernetes, cloud, Kafka) make shortlisting highly strict.
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Design, architect, implement, and operate the Machine Learning platform, focusing on efficient, cost-effective, and reliable processes.
Develop production-quality Python software with robust and scalable design patterns, including building REST APIs and integrating with cloud and open source technologies.
Collaborate with ML DevOps, Support teams, and data scientists to ensure smooth platform operation with monitoring, alerting, and DevOps best practices.
Bachelor’s degree in computer science required; Master’s preferred.
4+ years in software engineering with production software experience; 4+ years Python programming expertise.
Experience with Frontend technologies (JavaScript, TypeScript, React), Kubernetes, cloud environments (1+ year, GCP preferred).
Immediate joiners only; experience with Kafka, Linux scripting, SQL and NoSQL databases, CI/CD, and Big Data platforms required.
Experienced mid-level to senior engineer skilled in end-to-end backend development and ML platform operations.
Proficient in integrating cloud-native and open source components within scalable and monitored systems.
Capable of autonomous issue resolution, contributing to team processes, mentoring juniors, and improving code quality continuously.