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Synechron

Digital transformation consulting for financial services

Software Development Engineer in Test with AI

Test Automation EngineeringPosted on Nov 9
Full-timeMenlo Park, CA, USA$110k - $115k /yrIn-person

About the Job

Requirements

  • A degree in Computer Science, Engineering, Information Technology, or a related discipline is required.
  • Strong programming skills in Python, Java, JavaScript, TypeScript, C#, or a similar language are required.
  • A strong understanding of software testing principles, Agile methodologies, version control, and defect life cycle management is required.
  • Practical knowledge of automation framework design and maintainable test architecture is required.
  • Proficiency in API testing tools such as Postman, REST Assured, Requests, Karate, or equivalent technologies is required.
  • Strong SQL knowledge and the ability to validate data across relational or non-relational databases are required.
  • The ability to create clear test scenarios, test cases, test scripts, and test reports is required.
  • Strong communication, problem-solving, troubleshooting, and collaboration skills are required.
  • Candidates must be able to apply AI tools to test planning, test case generation, defect analysis, test data creation, and automation maintenance, and create AI-assisted testing utilities, automation enhancements, or quality engineering solutions.
  • Knowledge of AI testing and validation is required, 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.

Responsibilities

  • 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.
  • Integrate automated tests into CI/CD 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 and 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.
  • Analyze 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.

Desired Qualifications

  • Familiarity with large language models, prompt engineering, retrieval-augmented generation, AI evaluation frameworks, and machine learning workflows is beneficial.
  • Knowledge of Selenium, Playwright, Cypress, Appium, Robot Framework, or similar automation tools is preferred.
  • Familiarity with PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Docker, Kubernetes, AWS, Azure, or Google Cloud is preferred.
  • Experience working with OpenAI APIs, Azure OpenAI, Hugging Face, LangChain, MLflow, or comparable AI technologies is preferred.
  • Knowledge of Jira, TestRail, Zephyr, Azure Test Plans, or other test management platforms is preferred.
  • Familiarity with chatbot, generative AI, recommendation, forecasting, or other intelligent applications is preferred.
  • Understanding of responsible AI, privacy, compliance, observability, data lineage, and model monitoring principles is preferred.

About the Company

Synechron

Digital transformation consulting for financial services

Synechron accelerates digital transformation for banks, asset managers, and insurance companies by delivering end-to-end digital, business consulting, and technology services. Its offerings help clients tackle complex business challenges through tailored solutions that combine technology implementation with strategic advisory. The company differentiates itself through its global delivery network, industry focus, and ability to provide integrated services across digital platforms, data, and operations. The goal is to help financial institutions move faster on digital initiatives, improve customer experiences, and optimize operations across worldwide markets.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2001

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