Our challengeWe are seeking a Software Development Engineer in Test (SDET) - AI to design, develop, and maintain reliable automated testing solutions for software products and AI-powered applications. This role combines software engineering, quality assurance, test automation, and artificial intelligence to improve product quality, testing efficiency, and release confidence. The SDET will collaborate with developers, product managers, data scientists, DevOps engineers, and other stakeholders. The role requires strong technical ownership, analytical thinking, and the ability to lead QA initiatives while promoting automation, continuous improvement, and quality throughout the software development lifecycle.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Menlo Park, CA is $110k - $115k/year & benefits (see below).
The RoleResponsibilities:- Lead QA Team activities, including test planning, execution, defect management, release validation, and quality reporting.
- Design, develop, and maintain scalable automation frameworks for UI, API, integration, regression, and end-to-end testing.
- Define automation standards, reusable components, coding guidelines, test metrics, and quality gates.
- Perform CI/CD Integration by incorporating automated tests into pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Develop and execute API Automation for RESTful and SOAP services.
- Perform Database Testing / SQL validation, backend verification, data integrity checks, and query-based testing.
- Plan and maintain Test Data Management strategies for functional, integration, regression, and AI testing.
- Analyse test results, investigate failures, identify quality risks, and report defects with clear technical details.
- Participate in requirements reviews, design discussions, sprint planning, and release readiness activities.
- Mentor QA professionals and encourage collaboration, ownership, and continuous improvement.
- Support functional, performance, security, scalability, usability, and reliability testing.
Requirements:- Degree in Computer Science, Engineering, Information Technology, or a related discipline.
- Strong programming skills in Python, Java, JavaScript, TypeScript, C#, or a similar language.
- Strong understanding of software testing principles, Agile methodologies, version control, and defect life cycle management.
- Practical knowledge of automation framework design and maintainable test architecture.
- Proficiency in API testing tools such as Postman, REST Assured, Requests, Karate, or equivalent technologies.
- Strong SQL knowledge with the ability to validate data across relational or non-relational databases.
- Ability to create clear test scenarios, test cases, test scripts, and test reports.
- Strong communication, problem-solving, troubleshooting, and collaboration skills.
- Candidates should demonstrate AI Solution Utilization by applying AI tools to test planning, test case generation, defect analysis, test data creation, and automation maintenance. They should also be capable of AI Solution Development, including the creation of AI-assisted testing utilities, automation enhancements, or quality engineering solutions.
- The role requires knowledge of AI Testing & Validation, including prompt and response testing, hallucination detection, accuracy and consistency checks, bias and fairness assessment, robustness testing, data quality validation, model drift monitoring, explainability, security, and performance evaluation.
- Familiarity with large language models, prompt engineering, retrieval-augmented generation, AI evaluation frameworks, and machine learning workflows is beneficial.
Preferred, but not required:- Knowledge of Selenium, Playwright, Cypress, Appium, Robot Framework, or similar automation tools.
- Familiarity with PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Docker, Kubernetes, AWS, Azure, or Google Cloud.
- Experience working with OpenAI APIs, Azure OpenAI, Hugging Face, LangChain, MLflow, or comparable AI technologies.
- Knowledge of Jira, TestRail, Zephyr, Azure Test Plans, or other test management platforms.
- Familiarity with chatbot, generative AI, recommendation, forecasting, or other intelligent applications.
- Understanding of responsible AI, privacy, compliance, observability, data lineage, and model monitoring principles.
We offer:- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
- 10 days of paid annual leave (plus sick leave and national holidays).
- Maternity & paternity leave plans.
- A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
- Retirement savings plans.
- A higher education certification policy.
- Commuter benefits (varies by region).
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
- Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
- A flat and approachable organization.
- A truly diverse, fun-loving, and global work culture.
