Software Development Engineer Test Sdet

Job Title: Software Development Engineer in Test (SDET)
Location: Taylor, TX 76574
Duration: 24 Months
Job Type: Temporary Assignment
Work Type: Remote

JOB SUMMARY:

• The Software Development Engineer in Test (SDET) is a software engineering professional specializing in automation, quality engineering, and intelligent system validation.
• This role designs, develops, deploys, and maintains scalable automated solutions to ensure the reliability, performance, security, accessibility, and resilience of enterprise applications, system integrations, and automated business workflows.
• The SDET combines strong programming expertise with modern engineering practices to build automation frameworks, validate APIs and distributed systems, support CI/CD and cloud-native execution models, and test AI-enabled systems and process automation platforms.
• Working closely with Development, DevOps, Architecture, Product teams, QA Leads, and other stakeholders, the SDET improves system testability, drives shift-left and continuous testing practices, and embeds automation throughout the software delivery lifecycle while maintaining enterprise quality and governance standards.

JOB DUTIES:

• Design, develop, and maintain automated solutions for functional, regression, integration, performance, security, accessibility, and end-to-end testing
• Build and enhance automation frameworks for APIs, user interfaces, backend services, and enterprise workflows using tools such as Selenium, Playwright, Rest Assured, Postman, Tosca, or similar technologies
• Write clean, scalable, and maintainable automation code using Java, Python, JavaScript, TypeScript, or similar languages
• Perform validation across APIs, distributed systems, databases (relational and NoSQL), and system integrations
• Define and support test data management practices to improve automation reliability and coverage
• Integrate automation into CI/CD pipelines with quality gates, including functional, performance, and security validations
• Support scalable and containerized test execution across cloud environments (Azure, AWS, GCP, Docker, Kubernetes)
• Install, configure, and maintain automation tools and supporting infrastructure across Windows and Linux platforms
• Develop validation approaches for AI-enabled features, distributed systems, and automated business workflows (including RPA where applicable)
• Contribute to automation standards, governance practices, and continuous improvement initiatives
• Support shift-left and continuous testing practices and contribute to test strategy and risk-based validation
• Monitor and improve automation effectiveness by tracking key quality metrics and reducing flaky tests
• Utilize mocking, stubbing, or service virtualization techniques to enable reliable testing of dependent systems
• Participate in code reviews and advocate for testability in system design and development practices
• Collaborate with cross-functional teams and communicate effectively to ensure alignment on quality objectives
• Apply sound engineering judgment and enterprise standards in automation design and execution
• Leverage approved Generative AI tools to enhance automation quality, productivity, and intelligent test design
• Provide technical guidance and mentorship appropriate to role level while continuously learning and adopting new technologies

REQUIRED EXPERIENCE:

• Strong knowledge of software engineering and quality engineering principles
• Experience with UI and/or API automation frameworks
• Programming experience in Java, Python, JavaScript, TypeScript, or similar languages
• Experience integrating automation into CI/CD pipelines
• Experience with Git-based version control
• Experience supporting applications on Windows and/or Linux platforms
• Working knowledge of Agile methodologies and SDLC practices
• Level 2: Requires minimum 2 years job related work experience in excess of degree requirements
• Senior Level: Requires minimum 5 years job related work experience in excess of degree requirements
• Lead Level: Requires minimum 8 years job related work experience in excess of degree requirements

PREFERRED QUALIFICATIONS:

• Experience with cloud platforms (Azure, AWS, GCP) or multi-cloud environments
• Experience with Docker, Kubernetes, or distributed test infrastructure
• Experience with performance and/or security testing tools
• Experience with enterprise validation tools (Tosca, NeoLoad, qTest, Invicti, etc.)
• Experience implementing or supporting ServiceNow ATF automation
• Experience validating AI-enabled systems or familiarity with AI-assisted testing tools
• Experience influencing system design for testability, scalability, and resilience
• Experience supporting DevOps or DevSecOps practices
• Familiarity with BDD frameworks (e.g., Cucumber, Gherkin)
• Experience testing event-driven architectures or message queue systems (e.g., Kafka, RabbitMQ)
• Familiarity with mobile testing tools and frameworks (e.g., Appium)
• Familiarity with resilience testing or chaos engineering principles
• Familiarity with RPA tools and validation of automated business workflows (e.g., UiPath, Power Automate)
• Familiarity with observability or monitoring tools (e.g., Prometheus, Grafana).