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Tier-1 brand, metro location, popular SDE title, mid-level experience and broad backend requirements increase competition.
Backend engineering skills (APIs, Java/Kotlin, system design) are highly transferable across industries.
Explicit 2+ years requirement plus mandatory backend, language, system design, and production experience raise filtering rigor.
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Own and enhance global forecasting services for ad inventory prediction and delivery risk detection, ensuring system scalability and reliability at production scale.
Design, develop, and maintain high-performance APIs and services, contributing end-to-end through design, implementation, testing, deployment, and operational support.
Integrate AI/ML-enabled solutions to improve forecasting outcomes and contribute reusable platforms and libraries to increase engineering efficiency across teams.
Bachelor’s degree in Computer Science or related technical field, or equivalent professional experience.
At least 2 years of relevant professional experience in software development.
Proficient in object-oriented and functional programming languages (e.g., Kotlin, Java), data structures, algorithms, and core software engineering practices including code reviews, testing, CI/CD, and observability.
Experience designing and implementing service/API-based solutions with data modeling and system design; agile development experience owning features through production support.
Experienced in designing and evolving service architectures focusing on reliability, performance, and extensibility at scale.
Skilled in operating production systems including monitoring, alerting, incident management, and continuous reliability improvements.
Familiar with AI/ML integration in real-world products and data-driven decision making to optimize system behavior and user experience.