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Mid-level metro role with broad streaming and cloud requirements increases applicant competition.
Streaming, cloud and data-engineering skills are highly transferable across industries.
Explicit 5–8 year requirement plus many mandatory streaming, cloud, and infra skills raises filter strictness.
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Design and implement real-time customer context data pipelines for personalized agent experiences using event-driven architectures.
Develop stream processing applications and cloud-native solutions leveraging AWS technologies such as Kafka, Kinesis, Apache Flink, ECS, DynamoDB, and Terraform for infrastructure automation.
Collaborate with engineering and product teams to build scalable, low-latency personalization platforms and implement monitoring and governance frameworks.
5 to 8 years of relevant software engineering experience.
Bachelor’s degree in Computer Science or related field.
Mandatory experience with AWS cloud-native engineering, event-driven architecture using Kafka/Kinesis, stream processing with Apache Flink or Databricks, and programming in Python or Scala.
Location requirement: Onsite/Hybrid in Hyderabad, India.
Experienced in building low-latency personalization or customer 360 platforms in AWS environments, with scalable event-driven data pipelines.
Skilled in designing API contracts, RESTful/event-driven services (OpenAPI/Swagger), containerization (Docker/Kubernetes), and infrastructure automation (Terraform).
Comfortable working in a collaborative environment delivering cloud-native solutions, applying test-driven development and continuous integration/continuous deployment practices.