> Markdown version of [/jobs/ext/3845039-senior-software-engineer-quality-engineering](https://www.wearedevelopers.com/jobs/ext/3845039-senior-software-engineer-quality-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Quality Engineering - **Company:** Hays Specialist Recruitment LLC - **Location:** Orlando, FL, United States - **Experience:** Expert - **Salary:** $166,400.0 - $191,755.0 - **Contract:** Contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Agile Methodology, Artificial Intelligence, Confluence, JIRA, Automation of Tests, Software Quality, Cyber Security, Information Systems, Continuous Integration, Github, Identity and Access Management, Python (Programming Language), Tensorflow, Software Engineering, Software Testing Automation Framework, Data Processing, Scripting, Test-Driven Development (TDD), Backend, Gitlab, Git, Pytest, Information Technology, Data Analytics, Machine Learning Operations, Restful APIs, Jenkins, Golang, Microservices - **Published:** October 20, 2026 - **Apply:** https://www.dice.com/job-detail/6a7afad4-0f3f-4dec-b00d-9f31c4f68a3c ## About the Role The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position. Applicants must be legally authorized to work in the United States. Sponsorship not available., 2+ years previous hands-on working experience as an Quality Engineer Proven experience Quality Engineering, with a focus on developing and implementing best testing practices Basic understanding of test automation frameworks and scripting languages (e.g., Python, JavaScript) Familiarity with AI testing tools and libraries (e.g., TensorFlow Model Analysis, MLflow, PyTest) Knowledge of service standards and technologies, including RESTful APIs and microservices Strong interpersonal and collaboration skills, with the ability to work across cross-functional teams Excellent problem-solving and analytical skills, especially in complex and data-driven environments Experience with tools such as Git, Jira, and CI/CD platforms (e.g., Jenkins, GitHub Actions) Ability to interact with developers, data scientists, and technology leaders at a technical level Experience working with geographically dispersed teams and managing asynchronous workflows Effective verbal and written communication skills for both technical and non-technical audiences Ability to thrive in a dynamic, collaborative, and fast-paced environment High attention to detail and commitment to quality Familiarity with test metrics, reporting, and continuous improvement practices Understanding of software development life cycle (SDLC) and Agile methodologies Experience with risk management, including risk assessment and mitigation strategies Knowledge of continuous integration and continuous delivery (CI/CD) principles and tools Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience 5+ years of experience withSDLCtools such asJIRA, Jenkins, Github/Gitlab, Confluence, etc 2+ years of experience working with Identity and Access Management systems Work experience (including experience with IAM services such as MyID, AuthZ, Keystone, etc) Familiarity with sensitive data handling such as COPPA, PCI and PII, Safe Harbor Understanding and exposure to backend development architecture (Java, Go, .NET) Master's degree in Information Technology, Information Security, Computer Science, or Business related field or equivalent validated work experience ## Description As a Quality Engineer (QE), you will play a critical role in ensuring the quality and reliability of complex systems and applications across. You will apply a software engineering approach to architect, design, build, test, automate, monitor, and operate applications at scale. This role places a strong emphasis on validating intelligent, data-driven systems-requiring a deep understanding of how to test adaptive algorithms, ensure model integrity, and evaluate system behavior under dynamic conditions. You will collaborate with cross-functional teams to build robust testing frameworks, drive automation, and champion quality throughout the software development lifecycle. Your work will directly impact the delivery of content, experiences, and products that delight users and uphold standards of excellence. Design and implement comprehensive test strategies for systems that incorporate predictive or adaptive logic Develop and maintain automated test frameworks and tools to support continuous integration and delivery Collaborate with developers, product managers, and data specialists to ensure quality is embedded from ideation through deployment Conduct exploratory testing and risk analysis for complex, data-intensive systems Monitor and report on quality metrics, identifying trends and areas for improvement Advocate for best practices in software quality engineering, including test-driven development, shift-left testing, and validation of non-deterministic behaviors Stay current with emerging technologies and testing approaches, especially those relevant to intelligent or learning-based systems