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Strong brand, mid-level 5–8yrs role in Hyderabad with a generic engineering title increases applicant competition.
Streaming and cloud skills are transferable, but personalization and low-latency context require industry-specific experience.
Explicit 5–8 years and mandatory Kafka/Flink, AWS, Python/Scala, Terraform increases filter strictness.
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Design and implement real-time customer context pipelines to enhance personalized agent experiences across digital and assisted-service channels.
Develop and maintain event-driven stream processing applications using Kafka, Amazon Kinesis, Apache Flink or Databricks within AWS cloud-native environments.
Own infrastructure automation using Terraform and implement monitoring, observability, and governance frameworks to ensure scalable, low-latency architectures.
5 to 8 years of professional experience in software engineering or related roles.
Bachelor's degree in Computer Science or related field.
Proven experience with Kafka, Amazon Kinesis, AWS cloud (including ECS, DynamoDB), Apache Flink or Databricks stream processing, Python or Scala programming.
Work location: Onsite or Hybrid at Hyderabad office with working hours 11:30 AM – 8:30 PM.
Experienced delivering cloud-native engineering solutions focused on low-latency personalization or customer 360 platforms in AWS environments.
Skilled in building automated, event-driven pipelines with strong fundamentals in distributed systems, TDD, CI/CD, and infrastructure as code (Terraform).
Familiarity with modern AI-assisted coding tools like Cursor and ready to work with small generative language models, prompting techniques, and integration of these technologies into real-time data pipelines.