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Tier-1 brand, popular backend mid-level role, metro setting, and broad skillset increase candidate competition.
Core backend skills are transferable across industries, but media and ML-platform specifics moderately increase domain sensitivity.
Explicit 5+ years, mandatory backend architecture, ML platform and tech-stack requirements create strict filters.
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Owner of a functional backend area responsible for design, development, and delivery of new and existing applications.
Lead code quality with mentoring, code reviews, and enforcing documentation and testing standards.
Collaborate cross-functionally to develop scalable, secure systems balancing complexity with timely delivery.
Bachelor's or Master's degree in Computer Science or equivalent.
At least 5 years of professional backend software engineering experience.
Proficiency in programming languages such as TypeScript, Golang, or Python.
Experience designing distributed systems and working with relational/NoSQL databases.
Experienced with AI/ML integration platforms like Databricks, Vertex AI, SageMaker, or custom cloud ML solutions.
Skilled in distributed system architecture focusing on performance, scalability, reliability, and security.
Demonstrates ownership by handling end-to-end product lifecycle and mentoring junior engineers in agile environments.