Back
Popular lead engineer title, metro Hyderabad location, and broad multi-skill AWS/backend requirements increase competition.
Cloud-native backend and data-processing skills are transferable across industries but require specific tech expertise.
Explicit 10–13 years requirement plus mandatory Java/Python, AWS, Elasticsearch, PySpark, Docker, Kubernetes.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain Java and Python applications and microservices with a focus on cloud-native AWS solutions.
Design, implement, and optimize Elasticsearch/OpenSearch search solutions and PySpark/Glue ETL jobs.
Deploy and manage containerized applications on Amazon EKS, and participate in code reviews and production support.
10-13 years of relevant experience or equivalent combination of education and experience.
Strong programming skills in Java and Python with hands-on experience in Spring Boot, REST APIs, and microservices.
Hands-on experience with AWS services including API Gateway, Lambda, S3, Kinesis, DynamoDB, SNS, SQS, SSM, and AWS Glue.
Experience with Elasticsearch/OpenSearch including Bool Queries and document indexing, PostgreSQL, Docker, Kubernetes (EKS), and CI/CD pipelines.
Experienced with designing scalable distributed systems using Java/Python in AWS cloud environments.
Comfortable with managing containerized applications using Kubernetes on Amazon EKS and deploying CI/CD pipelines.
Skilled in implementing complex search queries in Elasticsearch/OpenSearch and building data pipelines with PySpark and AWS Glue.