Experienced QA Engineer with Hands-on Automation and AI Skills

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

About the role

As an SDET III, you will bring considerable technical expertise to deliver effective solutions to clients including the following:

• Acting as the lead, interfacing between clients and our Deloitte teams.
• Helping to create testing solutions to meet our clients' business needs.
• Leading the testing of custom technology solutions.

Responsibilities

• Define the testing strategy for large scale programs and ensure requirements traceability throughout the system development lifecycle.
• Lead testing efforts, including all phases of testing: system integration, user acceptance, and performance testing.
• Drive quality assurance processes and gain delivery and buy-in from executive leadership.
• Lead teams—onshore, offshore, and nearshore.
• Work with Test and Defect Management tools such as MicroFocus, ALM, and JIRA.
• Work in testing roles across various environments including client server, service-oriented architecture, web-based, mainframe-based, and three-tier architectures.
• Apply prompt engineering techniques to generate, refine, or debug automated test scripts and test data.

Requirements

• 6+ years' relevant consulting or industry experience.
• Bachelor's degree in computer science, engineering, or a related field.
• 4+ years hands-on experience with at least two of the following: TCOE, TMO, mobile testing, automation testing, SAP/Oracle testing, data testing in a client-facing or industry role.
• 4+ years' experience driving the quality assurance processes.
• 2+ years' experience leading teams.
• Experience with Test and Defect Management tools: MicroFocus, ALM, JIRA.
• Experience with automation tools: MicroFocus UFT, Rational Tooling, and Open Source Automation Tools such as Selenium, Cucumber, OpSoapUI, PostMan, RESTAssured, Mockito.
• Experience in at least one scripting language: Shell, VBScript, Perl, or Python.
• Experience with Source Control Systems: SVN or GIT.
• Experience with Build tools: Maven, CircleCI.
• Experience with Automated Reporting.
• Experience with Cloud testing and API testing.
• Experience with CI/CD/CT tools: Jenkins, Bamboo, Quickbuild.
• Ability to travel up to 50% of the time.

Qualifications

• Experience working in Cloud, Web, and Mobile Testing platforms such as Saucelabs and Browserstack.
• Hands-on experience with machine learning models.
• Experience in Python NLTK or similar natural language processing technology.
• Experience evaluating or testing AI/LLM-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
• Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
• Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
• Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
• Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
• Experience implementing testing best practices specific to test planning and execution processes and gaining buy-in for changes from executives.
• A deep understanding of testing planning and associated delivery challenges.
• A strong understanding of various testing techniques: white-box, black-box, load testing, coverage testing, and regression testing.

Limited immigration sponsorship may be available.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.