SDET with AI

Synechron Technologies Pvt. Ltd._INDIA Company; Menlo Park (CA); On-site; USD 110,000 - 115,000; Full time

Job summary

Synechron seeks a Software Development Engineer in Test (SDET) - AI to design, develop, and maintain automated testing solutions for software products and AI-powered apps. You will collaborate with developers, data scientists, and DevOps to raise quality and release confidence in a fast-paced, innovative environment.

Lead QA initiatives, build scalable automation frameworks for UI, API, and data testing, and integrate tests into CI/CD pipelines.

Qualifications

• Degree in Computer Science, Engineering, Information Technology, or a related discipline.
• Strong programming skills in Python, Java, JavaScript, TypeScript, or C#.
• Solid understanding of software testing principles, Agile methodologies, and version control.
• Experience with automation framework design and maintainable test architecture.
• Proficiency in API testing tools and SQL validation.
• Ability to create clear test scenarios, cases, scripts and reports.
• Familiarity with AI testing concepts, prompt engineering, and model evaluation is beneficial.

Responsibilities

• Lead QA activities, test planning, execution, defect management, and quality reporting.
• Design, develop, and maintain scalable automation frameworks for UI, API, and integration testing.
• Define automation standards, components, coding guidelines, metrics, and quality gates.
• Perform CI/CD integration with automated tests in Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
• Develop and execute API automation for RESTful and SOAP services.
• Perform database testing and data integrity checks; validate data across databases.
• Plan and maintain test data management strategies; analyze results and report defects.
• Participate in requirements reviews, design discussions, and sprint planning; mentor QA staff.
• Support functional, performance, security, scalability, usability, and reliability testing.

Skills

Python

Java

JavaScript

TypeScript

C#

SQL

AI Testing

Education

Bachelor's degree in CS/Engineering

Tools

Postman

REST Assured

Requests

Karate

JUnit

Job description

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We 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 Role

• 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.
• Experi