Senior Software Engineer - Quality Engineering

SRI Resources•Burbank, CA

About The Position

SRI Resources is recruiting a Senior Software Engineer – Quality Engineering for a 12+ month contract with a major corporation. The position supports the Global Information Security - Identity and Access Management (IAM) group, which provides a core IAM ecosystem of products and platforms used across the company’s business segments and corporate functions. The Quality Engineer helps ensure the quality and reliability of complex systems and applications. The role applies a software engineering approach to architecting, designing, building, testing, automating, monitoring, and operating applications at scale. It emphasizes testing intelligent, data-driven systems, including adaptive algorithms, model integrity, and system behavior under dynamic conditions. The engineer collaborates with cross-functional teams to build testing frameworks, drive automation, and promote quality throughout the software development lifecycle. The position is available in Burbank, California; Seattle, Washington; or New York City. The pay rate is $85–$90 per hour, depending on experience.

Requirements

At least 2 years of hands-on experience as a Quality Engineer.
Experience in Quality Engineering, focused on developing and implementing testing best practices.
Basic understanding of test automation frameworks and scripting languages such as Python or JavaScript.
Familiarity with AI testing tools and libraries such as TensorFlow Model Analysis, MLflow, or PyTest.
Knowledge of service standards and technologies, including RESTful APIs and microservices.
Strong interpersonal and collaboration skills for working across cross-functional teams.
Excellent problem-solving and analytical skills, particularly in complex and data-driven environments.
Experience with Git, Jira, and CI/CD platforms such as Jenkins or GitHub Actions.
Ability to communicate technically with developers, data scientists, and technology leaders.
Experience working with geographically dispersed teams and managing asynchronous workflows.
Effective verbal and written communication skills for technical and non-technical audiences.
Ability to work in a dynamic, collaborative, fast-paced environment.
High attention to detail and commitment to quality.
Familiarity with test metrics, reporting, and continuous improvement practices.
Understanding of the software development lifecycle (SDLC) and Agile methodologies.
Experience with risk management, including risk assessment and mitigation strategies.
Knowledge of continuous integration and continuous delivery principles and tools.
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience.

Nice To Haves

At least 5 years of experience with SDLC tools such as JIRA, Jenkins, GitHub/GitLab, and Confluence.
At least 2 years of experience working with Identity and Access Management systems.
Company work experience, including experience with IAM services such as MyID, AuthZ, or Keystone.
Familiarity with handling sensitive data such as COPPA, PCI, and PII, and Safe Harbor.
Understanding of and exposure to backend development architecture, including Java, Go, or .NET.
Master’s degree in Information Technology, Information Security, Computer Science, or a business-related field, or equivalent validated work experience.

Responsibilities

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 embed quality 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 software quality engineering best practices, including test-driven development, shift-left testing, and validation of non-deterministic behaviors.
Stay current with emerging technologies and testing approaches, particularly those relevant to intelligent or learning-based systems.