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About the Role
Job Description
- Lead the architecture and development of cloud-native applications, services, and platforms using Python and AWS.
- Build and manage cloud-native microservices leveraging AWS services such as Lambda, ECS, S3,Glue,RDS/DynamoDB, EMR, glue and EKS .
- Provide technical leadership across engineering teams, driving design reviews, architecture decisions, coding standards, and operational excellence.
- Partner with product, security, architecture, data science, and platform teams to translate business problems into scalable technical solutions.
- Develop reusable frameworks, libraries, APIs, and automation patterns that accelerate engineering delivery.
- Drive adoption of engineering best practices including CI/CD, infrastructure as code, test automation, observability, secure SDLC.
- Build and optimize large-scale distributed data processing solutions using Apache Spark, PySpark, SQL, and cloud data services. ...
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