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Large known employer, metro location and mid-level generalist role with in-demand streaming skills increases competition.
Streaming and cloud data skills transfer across industries, but personalization platform experience adds moderate domain specificity.
Explicit 5–8 years requirement plus specific streaming, Flink/Databricks, AWS, Python/Scala, and Terraform make filters strict.
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Design and implement real-time customer context pipelines and event-driven systems to enable personalized agent experiences across digital and assisted-service channels.
Develop and deploy stream processing applications and scalable AWS cloud-native solutions using Python or Scala, Kafka, Apache Flink/Databricks, Amazon Kinesis, ECS, and DynamoDB.
Implement infrastructure automation with Terraform, apply TDD and CI/CD practices, and establish monitoring, observability, and governance frameworks.
5 to 8 years of professional experience in software engineering or related roles.
Bachelor’s degree in Computer Science or a related field.
Strong hands-on experience with Kafka, Amazon Kinesis, Apache Flink or Databricks for stream processing, Python or Scala for service development, and AWS cloud-native environments including Terraform, ECS, and DynamoDB.
Location requirement: Onsite or Hybrid at Hyderabad office.
Experience working on low-latency personalization, customer 360, or customer context platforms within AWS environments.
Proficient in building event-driven service interfaces and API contracts using OpenAPI/Swagger, with knowledge of distributed systems.
Familiarity with generative language models (small language models), prompting techniques, and use of AI coding tools like Cursor.