Experienced QA Engineer with Hands-on Automation and AI Skills
About The Position
The Senior QA Engineer will join Deloitte’s AI & Engineering team, which builds, deploys, and operates engineering solutions across software, data, AI, networking, and hybrid cloud infrastructure. The team modernizes technology platforms and engineering organizations, delivering tailored advisory, implementation, and operational services to clients. As an SDET III, the role provides technical leadership in delivering testing solutions for clients. The engineer will serve as a lead interface between clients and Deloitte teams, help develop testing solutions that meet business needs, and lead testing of custom technology solutions. The position requires extensive experience defining and leading test strategies, managing quality assurance processes, working across testing environments, and using automation and AI-related techniques. Travel may be required up to 50% of the time, depending on clients and work served. Recruiting for this role ends on 11/30/26.
Requirements
- At least 6 years of relevant consulting or industry experience.
- Bachelor’s degree in computer science, engineering, or a related field.
- At least 4 years of experience defining testing strategies for large-scale programs and ensuring requirements traceability across the system development lifecycle, including leading system integration, user acceptance, and performance testing.
- Experience in at least two of the following in a client-facing or industry role: TCOE, TMO, mobile testing, automation testing, SAP/Oracle testing, or data testing.
- At least 4 years of experience driving quality assurance processes and gaining delivery and buy-in from executive leadership.
- At least 2 years of experience leading onshore, offshore, and nearshore teams.
- Experience with test and defect management tools such as MicroFocus, ALM, and JIRA.
- At least 4 years of testing experience across client-server, service-oriented, web-based, mainframe-based, and three-tier environments.
- Experience with MicroFocus UFT, Rational Tooling, and open-source automation tools such as Selenium, Cucumber, OpSoapUI, PostMan, RESTAssured, and Mockito.
- Experience with at least one scripting language: Shell, VBScript, Perl, or Python.
- Experience with SVN or GIT source control systems.
- Experience with build tools such as Maven and CircleCI.
- Experience with automated reporting.
- Experience with cloud testing and API testing.
- Experience with CI/CD/CT tools such as Jenkins, Bamboo, and Quickbuild.
- Ability to travel up to 50% of the time, based on the work and clients and industries or sectors served.
Nice To Haves
- Experience with cloud, web, and mobile testing platforms such as Sauce Labs and BrowserStack.
- Hands-on experience with machine learning models.
- Experience with Python NLTK or similar natural language processing technology.
- Experience evaluating or testing AI/LLM-based application features, including chatbots, copilots, or RAG-based systems, with prompt-response validation and hallucination or 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, including AI-driven locator repair and visual AI testing.
- Understanding of responsible AI and testing governance principles, including bias detection, explainability, and model validation, as applied to quality engineering.
- Experience contributing to or influencing AI-adoption roadmaps within a testing or quality engineering organization.
- Experience implementing testing best practices for test planning and execution and gaining executive buy-in for changes.
- Deep understanding of test planning and related delivery challenges.
- Strong understanding of white-box, black-box, load, coverage, and regression testing techniques.
Responsibilities
- Act as a lead interface between clients and Deloitte teams.
- Help create testing solutions that meet clients’ business needs.
- Lead the testing of custom technology solutions.
- Define testing strategies for large-scale programs and ensure requirements traceability throughout the system development lifecycle.
- Lead testing efforts across system integration, user acceptance, and performance testing.
- Drive quality assurance processes and obtain delivery and buy-in from executive leadership.
- Lead onshore, offshore, and nearshore teams.
- Apply prompt engineering techniques to generate, refine, or debug automated test scripts and test data.
Benefits
- Broad range of employee benefits.
- Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
- Opportunities to build new skills, take on leadership opportunities, and grow through mentorship and formal development programs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
