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Position Summary
The Software Automation Engineer (P3) is a senior individual contributor responsible for designing, developing, and maintaining automated test solutions across Ontada's product ecosystem, with a strong focus on AIenabled and GenAIpowered systems. Reporting to the QA Lead, this role drives highquality automation for UI, API, backend, and data layers, while ensuring AI/ML features meet expectations for correctness, reliability, safety, and compliance.
This role partners closely with Product, Engineering, and MLOps teams to validate both traditional software workflows and AIdriven behaviors, including promptbased systems, retrievalaugmented generation (RAG), and modelintegrated services.
Key Responsibilities
Quality Engineering Ownership & Execution
- Own and execute test strategy, planning, and execution for assigned features, services, or product areas under the guidance of the QA Lead.
- Identify functional, integration, and nonfunctional quality risks early; communicate risks, impacts, and recommendations clearly.
- Author comprehensive test strategies, test plans, and test cases aligned with product requirements and acceptance criteria.
- Perform exploratory testing to uncover complex, edgecase, and systemic defects.
- Coordinate endtoend validation across multiple environments to ensure release readiness.
Test Automation & Framework Development
- Design, develop, and maintain automated test suites across UI, API, service, and data layers.
- Contribute to the enhancement and maintainability of automation frameworks using tools such as Selenium, Playwright, Cypress, TOSCA, or similar.
- Develop robust API automation using RestAssured, Postman, or equivalent frameworks.
- Implement effective test data strategies, including synthetic data generation and environment setup.
- Integrate automated tests into CI/CD pipelines to support fast and reliable feedback cycles.
- Leverage AIassisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate test automation development, refactoring, and debugging while maintaining code quality and security standards.
- Use AI tooling to assist with test case generation, edgecase identification, and datadriven scenario expansion, validating all outputs through engineering judgment and established QA practices.
AI / GenAI Quality Engineering
- Design and execute test strategies for AI/ML and GenAIpowered features, including LLMbased workflows.
- Validate prompt behavior, prompt templates, and prompt chaining across different scenarios and data contexts.
- Perform negative testing for AI systems, including prompt injection, jailbreak attempts, hallucination risks, and unsafe outputs.
- Test RetrievalAugmented Generation (RAG) pipelines, including:
- Embedding quality validation
- Retrieval accuracy, recall, and relevance
- Chunking and indexing strategies
- Validate AI outputs for accuracy, consistency, explainability, and compliance in regulated environments.
- Collaborate with Engineering and MLOps teams to test model integrations, configuration changes, and inference pipelines.
- Utilize AIpowered tools to support prompt analysis, test scenario exploration, and hypothesis generation when validating LLMbased features and AI workflows.
- Critically evaluate AIgenerated suggestions and outputs to ensure accuracy, safety, reproducibility, and regulatory compliance.
Backend & Data Testing
- Perform advanced backend testing across SQL and NoSQL data systems.
- Validate data ingestion, transformations, persistence, and integrity across services and environments.
- Coordinate testing of asynchronous workflows and integrations (e.g., message queues, APIs, batch processes).
Agile Collaboration
- Work closely with Product Owners and Business Analysts to refine user stories, define acceptance criteria, and ensure testability.
- Partner with developers during design and implementation to support shiftleft testing.
- Participate actively in sprint planning, grooming, retrospectives, and release readiness reviews.
- Collaborate with onshore and offshore QA team members to ensure consistent execution and quality standards.
Quality Governance, Compliance & Continuous Improvement
- Ensure testing activities align with HIPAA and other regulatory, security, and dataprivacy requirements.
- Contribute auditready documentation, including test pl