Design, implement, and maintain microservices-heavy backend systems in a cloud environment (AWS, GCP, or Azure). Build and optimize APIs and recommendation systems. Develop real-time data processing pipelines using frameworks such as Kafka, Flink, or Kinesis. Collaborate with data scientists, product managers, and engineering teams. Advocate for engineering best practices, CI/CD, and infrastructure-as-code. Research and implement emerging technologies. Provide mentorship and guidance to peers.