Software Development Engineer in Test (SDET) - AI-Enabled Quality Engineering

Everforth Apex
Austin, TX, United States
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Acceptance Test-Driven Development Confluence JIRA Automation of Tests Microsoft Azure Cloud Engineering Software Quality
+32 more
Code Review Information Systems Continuous Integration Data Validation Data Integrity Cursor (Graphical User Interface Elements) Distributed Systems Github IBM WebSphere MQ Machine Learning NoSQL Scrum Methodology Systems Development Life Cycle RabbitMQ Software Tools Standard Sql Software Engineering Strategies of Testing Google Cloud Test-Driven Development (TDD) GitHub Copilot Large Language Models Prompt Engineering Generative AI Gitlab Event Driven Architecture Kubernetes Information Technology Apache Kafka Software Version Control Docker SDET

Job description

We are seeking a Senior Software Development Engineer in Test (SDET) to drive quality engineering and test automation across modern enterprise platforms. This role partners closely with product owners, developers, architects, and operations teams to improve software quality, release confidence, and engineering productivity through automation, cloud-native testing, and AI-assisted SDLC practices., * Define and execute test strategies, automation coverage, and release validation plans based on business and technical requirements.

  • Design, develop, and maintain scalable automated test frameworks across UI, API, integration, end-to-end, regression, performance, and deployment testing.
  • Integrate automated testing into CI/CD pipelines to improve release quality, speed, and reliability.
  • Validate distributed, cloud-native, and event-driven systems, including data integrity, service contracts, resiliency, observability, and recovery scenarios.
  • Leverage AI-assisted engineering tools (GitHub Copilot, Claude Code, Gemini Code Assist, Cursor, etc.) to enhance test design, automation development, defect analysis, troubleshooting, and documentation.
  • Apply prompt engineering, reusable instructions, and AI-augmented workflows to improve quality engineering outcomes.
  • Develop and maintain test plans, automation strategies, validation evidence, defect analysis, and release readiness documentation.
  • Collaborate with globally distributed teams to drive automation-first, risk-based quality practices across the SDLC.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience).
  • 8+ years of experience in software testing, test automation, software development, or quality engineering.
  • Strong experience building and maintaining automated test frameworks and test suites.
  • Hands-on expertise with API, UI, integration, end-to-end, regression, and release validation testing.
  • Experience testing cloud-native and distributed applications on platforms such as AWS, Azure, Google Cloud Platform, Kubernetes, Docker, or PCF.
  • Strong knowledge of SQL/NoSQL databases and data validation techniques.
  • Experience with CI/CD, source control, and Agile delivery tools (GitHub, GitLab, Azure DevOps, Jira, Rally, Confluence).
  • Experience with messaging and event-driven technologies such as Kafka, IBM MQ, RabbitMQ, or cloud pub/sub services.
  • Knowledge of BDD, TDD, ATDD, shift-left testing, quality gates, and modern quality engineering practices.
  • Demonstrated experience using Generative AI tools throughout the SDLC, including test generation, automation development, code reviews, troubleshooting, and documentation.
  • Understanding of prompt engineering, responsible AI practices, and AI-assisted software delivery.
  • Strong communication, analytical, and problem-solving skills.
  • Understanding of broker-dealer operations; financial services experience preferred.

Preferred Qualifications

  • Experience as an SDET in Agile, Scrum, Kanban, or Scaled Agile environments.
  • Experience with performance, resiliency, observability, chaos, and production-readiness testing.
  • Financial services, brokerage, banking, wealth management, or capital markets experience.
  • Experience defining automation strategies, framework standards, quality metrics, and release readiness criteria.
  • Exposure to AI/ML concepts, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic workflows.
  • Experience mentoring engineers and driving adoption of test automation and AI-assisted SDLC practices.

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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