AI-Powered SDET: Build Robust ML Test Automation

Synechron; Menlo Park (CA); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Global opportunities

Paid leave & holidays

Insurance plan

Retirement savings

Udemy for Business

Training & development

Job summary

Synechron seeks an experienced Senior SDET to design, develop, and maintain automated testing frameworks for AI-powered software products. You will collaborate with software engineers, data scientists, product managers, and DevOps to establish robust testing strategies across the development lifecycle.

The ideal candidate has deep test automation expertise and practical experience validating AI/ML systems for quality, performance, security, and fairness, in a fast-paced, global consulting

Qualifications

• Experience in software development, test automation, SDET, or quality engineering.
• Proven ability to design and maintain automation frameworks.
• Strong knowledge of testing principles, strategies, and defect management.
• Experience testing RESTful APIs, microservices, databases, and distributed systems.
• Hands-on with Selenium, Playwright, Cypress, Appium, REST Assured, PyTest, or JUnit.
• CI/CD tooling experience (GitHub Actions, Jenkins, GitLab CI, Azure DevOps, CircleCI).
• Cloud platform experience (AWS, Azure, Google Cloud).
• Practical AI/ML testing experience (models, data pipelines, AI apps).
• Understanding ML concepts, model evaluation, data validation, statistics.
• Strong analytical, communication, troubleshooting, and problem solving.

Responsibilities

• Design and implement scalable, maintainable test automation frameworks for web, mobile, API, and backend systems.
• Develop comprehensive test strategies for AI/ML-powered products and services.
• Create automated tests for: Functional/regression testing, API/integration testing, end-to-end workflows, performance, scalability, data quality, model validation, edge cases, security, and compliance.
• Validate AI model outputs using metrics, benchmarks, datasets, and acceptance criteria.
• Test generative AI systems: prompt quality, hallucination, toxicity, bias, jailbreak resistance.
• Ensure response latency and consistency; validate RAG workflows and model/regressions.
• Build tools for test data generation, model evaluation, monitoring, reporting.
• Attach automated tests to CI/CD and enforce quality gates.
• Collaborate with dev/data science teams to identify defects early and improve quality.
• Perform root-cause analysis and communicate risks clearly.
• Establish dashboards and reporting for software and AI/ML systems.
• Mentor junior/mid-level SDETs and promote best practices.
• Contribute to test planning, code reviews, architecture discussions, release readiness.
• Stay current with AI testing tools, methodologies and industry standards.

Skills

Test automation

AI/ML testing

CI/CD practices

REST API testing

Cloud platforms

SDET mentoring

Tools

Selenium

Playwright

Cypress

Appium

REST Assured

PyTest

JUnit

GitHub Actions

Jenkins

Job description

Synechron seeks an experienced Senior SDET to design, develop, and maintain automated testing frameworks for AI-powered software products. You will collaborate with software engineers, data scientists, product managers, and DevOps to establish robust testing strategies across the development lifecycle.

The ideal candidate has deep test automation expertise and practical experience validating AI/ML systems for quality, performance, security, and fairness, in a fast-paced, global consulting