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Medium competition due to senior backend title and Bangalore metro location with a recognizable employer.
Medium because core backend and cloud skills transfer across industries, though forecasting/recommendations experience is preferred.
High due to explicit 8–12 years requirement and mandatory backend, cloud, and distributed-systems skills.
Design, build, and operate backend services that support forecasting, recommendations, and Performance Advisor workflows at scale.
Own significant backend distributed systems and components from design through deployment, incident resolution, and continuous improvement.
Collaborate with data science and product teams to integrate AI and machine-learning driven capabilities into production systems while ensuring reliability, observability, and operational excellence.
8–12 years of professional experience building and operating scalable backend systems.
Strong hands-on expertise with distributed systems design, event-driven systems, backend APIs, and cloud-native operations on AWS.
Experience with Kafka, Elasticsearch, NoSQL databases (e.g., Aerospike), container-based microservices, and proficiency in backend languages such as Python, Java, Ruby, Go, or Scala.
Bachelor's or master's degree in Computer Science, Mathematics, Engineering, or related field, or equivalent practical experience.
Demonstrated ownership of production-grade, high-throughput, low-latency distributed services integrating forecasting, recommendation, or AI-driven workflows.
Experience balancing technical and product trade-offs to deliver practical, reliable, and maintainable backend solutions in large, distributed teams.
Strong system design and operational mindset with a record of mentoring engineers and driving improvements in reliability, scalability, and team velocity.