Senior Software Development Engineer of Test (SDET)

Driving the Transformation of Software & Quality Engineering Into a Next‑Generation, AI‑Enabled Capability

Job Summary

The Software Development Engineer of Test (SDET) is a highly technical, senior engineer role responsible for building modern, scalable quality engineering solutions across applications, APIs, and platforms. This role blends software development, SDET‑level automation, AI‑enabled testing, and quality architecture to accelerate delivery while improving product reliability. 
Operating as a technical leader within agile teams, the SDET drives engineering‑first testing practices, partners with developers to embed testability into design, enhances CI/CD pipeline quality, and advances enterprise automation frameworks. This role is central to Westfield’s transition toward AI‑accelerated, developer‑aligned quality engineering—ensuring our teams deliver resilient, high‑quality software at speed. 
The SDET does not manage people but serves as a technical mentor, influencer, and engineering anchor across the asset delivery team.

Job Responsibilities

Engineering‑Forward Quality & Automation

• Design, develop, and maintain robust automated test frameworks for API, UI, integration, performance, and end‑to‑end testing.
• Write production‑level automation code using modern languages (e.g., Java, Python, JavaScript/TypeScript, C#).
• Implement shift‑left engineering by partnering with developers on unit testing patterns, code quality, and testability design.
• Ensure automated tests integrate into CI/CD pipelines to improve feedback speed and delivery confidence.
• Identify and automate high‑value opportunities that replace manual or repetitive validation.

AI‑Enabled Quality Engineering

• Use GenAI tools for test generation, code suggestions, defect classification, and quality insights.
• Contribute to self‑healing automation frameworks and AI‑assisted testing accelerators.
• Promote responsible use of AI for engineering workflows and coach team members in AI‑supported testing techniques.

Quality Strategy, Architecture & Risk Engineering

• Translate business and system requirements into risk‑based testing strategies and automation coverage models.
• Partner with developers, architects, and QE Leads to design API‑first quality strategies aligned to platform modernization.
• Contribute to test data design, service mocks, simulation layers, and synthetic test environments.
• Analyze logs, telemetry, and monitoring data to identify systemic issues and drive long‑term quality improvements.

Collaboration, Delivery Excellence & Modern Engineering Practices

• Work directly with Application Engineering, DevSecOps, Architecture, and Operations to build a unified quality model.
• Improve pipeline quality through CI/CD best practices, static analysis, quality gates, and automated checks.
• Participate in production issue reviews; identify root causes and inject corrective actions into future sprints.
• Mentor junior engineers and testers on automation patterns, debugging, API testing, and engineering best practices.

Execution, Analysis & Continuous Improvement

• Perform hands‑on testing of complex workflows, integrations, and edge cases where human judgment is required.
• Evaluate defects, logs, and system behavior to identify gaps in coverage or test strategy.
• Maintain high‑quality documentation for test frameworks, automation suites, and quality processes.
• Evaluate and recommend new tools, frameworks, and engineering techniques aligned with enterprise standards.

Job Qualifications

• 5–7+ years in software engineering, test automation, SDET, or quality engineering roles.
• Strong programming experience in one or more languages (Java, Python, JavaScript/TypeScript, C#, etc.).
• Expertise with modern test frameworks (JUnit/TestNG, PyTest, Playwright/Cypress, REST Assured, etc.).
• Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins) and DevSecOps‑aligned practices.
• Solid understanding of Agile methodologies and modern software engineering principles.
• Experience with AI‑enabled quality engineering tools (self‑healing, autonomous test generation, etc.).
• Experience with observability, logs, dashboards, and performance testing tools (Dynatrace, LoadRunner, Graylog).
• Hands‑on experience testing and automating REST APIs, microservices, integrations, and cloud‑based systems.
• Cloud or container experience (AWS/Azure/GCP, Docker, Kubernetes).
• Industry certifications (CSQE, ISTQB, or similar).

Location
Hybrid defined as three (3) or more days per week in the office.

Behavioral Competencies

• Collaborates
• Communicates Effectively
• Customer Focus
• Decision Quality
• Nimble Learning
• Ensures Accountability
• Manages Complexity
• Drives Continuous Improvement

Technical Skills

• Test Automation & Framework Design
• API & Microservices Testing
• Programming Languages
• CI/CD Integration
• AI‑Assisted Testing
• Observability & Monitoring        
• Debugging & Troubleshooting
• Agile Engineering Practices
• Cloud & DevOps Fundamentals
• Technical Documentation 

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

We are an equal opportunity employer/minority/female/disability/protected veteran.