We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for a talented Senior SDET to ensure quality and reliability of an enterprise AI-powered conversational platform with complex optimization engines and multi-agent orchestration. Responsibilities:
- Design and implement comprehensive test strategies for AI/ML systems, optimization engines, and API integrations
- Build automated test frameworks for multi-agent workflows and conversational AI systems
- Develop end-to-end integration tests across serverless cloud infrastructure
- Create performance and load testing frameworks for optimization solvers
- Validate mathematical optimization outputs and AI agent reasoning accuracy
- Implement test observability using CloudWatch, X-Ray, and logging frameworks
- Create dashboards to track test coverage, execution results, and quality metrics
- Work closely with Data Scientists, ML Engineers, and Developers in Agile sprints
Qualifications:
Experience as SDET, QA Engineer, or Test Automation Engineer
Excellent English communication (C1 or higher - mandatory)
Experience with test automation frameworks (Pytest, unittest, Robot Framework, Selenium)
API testing expertise (Postman, REST Assured, requests library)
AWS testing experience (Lambda, API Gateway, DynamoDB, S3)
CI/CD pipelines and test integration (Jenkins, GitLab CI, GitHub Actions)
Performance and load testing tools (Locust, JMeter, Gatling)
SQL proficiency for data validation
Strong analytical and problem-solving skills
Experience testing AI/ML systems, LLMs, or conversational agents
Knowledge of optimization algorithm validation
Familiarity with AWS Bedrock, Lambda functions, and serverless architecture
Experience with contract testing and API mocking (Pact, WireMock)
Understanding of Infrastructure as Code testing (Terraform, CDK)
Experience with observability tools (CloudWatch, X-Ray, DataDog)
Nice to Have
Experience testing RAG systems or vector databases
Knowledge of BDD/TDD frameworks (Behave, Cucumber)
Familiarity with containerization (Docker, Kubernetes) testing
Experience with SCRUM/Agile methodology
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