About the Role
We are seeking a skilled SDET / Backend QA Engineer with strong expertise in Python, AWS, and distributed systems to ensure the quality and reliability of backend services and APIs. The ideal candidate will have hands-on experience with cloud-native architectures, serverless services, and test automation frameworks, along with a strong background in backend quality engineering. You will play a key role in designing scalable testing solutions for high-performance, event-driven systems leveraging AWS and Kafka.
Requirements
SDET Backend QA Engineer – Python & AWS
Experience: 4+ years 6+ yrs
Location: Hyderabad
Work Mode: Hybrid
Department: Engineering
Employment Type: Full-time
Notice Period: Immediate
Key responsibilities
- Design, develop, and maintain automated test frameworks using Python and Pytest.
- Perform API and backend service testing (functional, integration, regression, and performance testing).
- Validate distributed systems built on Kafka, AWS services, and serverless architectures.
- Develop test strategies for microservices and event-driven systems.
- Write and execute test cases for REST APIs and backend workflows.
- Implement testing for AWS serverless services such as Lambda, API Gateway, Step Functions, etc.
- Integrate automated tests into CI/CD pipelines (GitLab, Jenkins).
- Monitor applications and test environments using Grafana and CloudWatch.
- Work closely with developers, DevOps, and product teams to ensure high-quality releases.
- Ensure end-to-end quality engineering practices across backend systems.
Required skills and experience
- Strong programming skills in Python
- Experience with Pytest for automation testing
- Hands-on experience with AWS (especially Serverless services like Lambda, API Gateway)
- Kafka (event streaming systems)
- Unix/Linux environments
- Proven experience as SDET with strong API and backend service testing
- Experience in functional, integration, and regression testing
- Automation frameworks and test design
- Microservices and distributed system testing
- Experience with AWS Serverless architecture
- Understanding of event-driven systems and message queues (Kafka/Kinesis)
Good to have
- Databases & Data Platforms: Oracle / SQL Server / Teradata, Athena / DynamoDB
- AWS & Streaming Services: Kinesis, API Gateway, CloudWatch
- Big Data & Workflow Tools: EMR, AWS Step Functions
- DevOps & Monitoring: Experience in CI/CD pipelines, hands-on exposure to monitoring tools like Grafana
About the Company
We are collaborating with a forward-thinking organization that specializes in delivering innovative technology solutions.