• Develop collaborative partnerships with clinical study teams/study team leaders to maintain a current understanding of potential areas of quality risk exposure within the context of ongoing clinical studies and across clinical programs as assigned. • Ensure compliance with clinical quality assurance activities including facilitating and managing internal and external GCP audits/audit programs, as applicable. • Implement and support QA activities that foster an outcome of compliance and adherence to relevant laws, regulations, guidance; upholds the rights and welfare of patients; is focused on data integrity and end to end quality assurance • Assist in identifying opportunities for process improvement initiatives, including process/program reviews to identify approaches that will prevent quality issue recurrence (e.g. issue escalation and management; and applicable corrective/preventative action programs, periodic internal audit/gap assessment). • Assist with the development and tracking of trending and metrics of internal as well as external vendor quality issues. • Provide related training on new regulatory requirements and industry practices. • Lead and manage clinical inspection readiness activities for assigned programs and other key programs as applicable. • Support Regulatory Inspections of Kura Oncology products, including supporting/facilitating back room and front room activities and supporting the drafting/reviewing of responses to regulatory authority findings, as applicable. • Promote quality and risk management principles (e.g., quality by design, critical to quality focuses, risk assessment and risk ranking, establishment of risk thresholds and tolerance limits) when supporting innovative programs and advancing ongoing clinical programs. • Maintain accountability for ensuring risk-based strategies are utilized when managing and mitigating quality issues and supporting clinical studies, ensuring study-specific risk management activities and strategies are utilized consistently across programs.

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview As Motorola's premier cybersecurity consulting group, the cyber professional services team provides in-depth technical, compliance, and governance assessments as well as strategic recommendations for our customer’s and their networks, operational technology and installed Motorola products and platforms. The cyber professional services team provides a full spectrum of cybersecurity services ranging from physical security, vulnerability management, penetration testing, risk management and compliance with frameworks and benchmarks such as CJIS, CIS, ISO, and NIST. Job Description Cyber Penetration Tester providing our customers with cybersecurity consultative services to aid them in determining the effectiveness of their deployed Cybersecurity controls within Enterprise, Public Safety, P25, E911, Computer Aided Dispatch, Fixed Video and FedRAMP networks and products. Responsibilities: Proficiency in executing comprehensive web application penetration testing is required. Understand and safely use various open-source penetration testing tools and when appropriate, emulating hacker tactics, techniques, procedures (TTPs). Develop comprehensive and accurate reports and presentations for various consumers of penetration testing results. Experience with security testing and configuration review of major cloud platforms (e.g., AWS, Azure) preferred. Familiarity with cloud computing concepts and security models, including IaaS, PaaS, and serverless architectures. Understanding and practical application of the MITRE ATT&CK framework for analyzing adversary TTPs. Estimated workload is 3-4 assessments per quarter, consisting of 1-2-week assessments including report writing, maintaining a 70% billable utilization. Qualifications: Target Base Salary Range: $100,000--$110,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. Basic Requirements Required Skills: High School diploma, Bachelor’s degree in Cybersecurity, Computer Science, or Information Systems required. Must be a U.S. citizen with the ability to obtain a Security Clearance as required by our government customers. Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. #LI-JM3 #LI-REMOTE Travel Requirements Under 25% Relocation Provided None Position Type Experienced Referral Payment Plan Yes Our U.S. Benefits include: Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Role Description This is not a traditional QA role. This is not a transitional or maintenance QA position. We are building agentic software development, and we need QA that operates at the same speed, intelligence, and autonomy as development. You will design and own an AI-driven QA system that: - Tests complex SaaS products end-to-end - Discovers bugs autonomously (without hand-written test cases) - Simulates how a new human QA engineer would deeply explore the product - Runs continuously (ideally 24×7) - Integrates directly into agentic development loops If your idea of QA is mostly writing Selenium scripts from requirements, this role is not for you. The mission is to build and operate an autonomous QA engine that: - Thinks like a human QA engineer - Acts like an AI system - Never sleeps - Never lets defects escape QA here is not a gate at the end — it is a real-time adversary to development agents until quality is proven. What you will own (end-to-end): - Autonomous, AI-Driven QA - Design AI-based systems that: - Explore UI, APIs, workflows, and edge cases without pre-defined scripts - Generate and execute tests dynamically from product behavior - Discover bugs through exploration, not just assertions - Move beyond static automation into self-directed testing systems - Agentic QA × Agentic Development Integration - Build QA agents that: - Continuously test features as development agents build them - Provide structured, actionable feedback in real time - Loop with development agents until quality thresholds are met - Own the QA feedback loop as a first-class system, not a manual process - Full-Stack Quality Coverage - Validate quality across: - Web UI - Backend services - APIs - Data integrity - End-to-end user journeys - Ensure the system works as a cohesive product, not just isolated components - Intelligent Defect Discovery & Verification - Automatically identify: - Functional defects - Workflow breaks - Regression issues - Performance and reliability risks - Ensure issues are: - Reproducible - Verified - Clearly explainable to humans - Continuous, Always-On QA - QA does not stop at “test execution” - Build systems that: - Run continuously - Adapt as the product evolves - Increase coverage automatically over time - Quality Ownership - Define what “release-ready” means - Block releases when quality is insufficient — with evidence - Raise risks early, clearly, and decisively What success looks like: - Bugs are found before humans see them - QA coverage grows without linear human effort - Development speed increases because QA is faster - QA agents actively challenge dev agents - Releases feel boring — because nothing breaks Schedule: Daytime hours with 4–8 hours of overlap to US Pacific, with flexibility for critical releases or audits. Qualifications - 3+ years in QA (manual + automation) — foundation matters - Strong understanding of: - SDLC - Test strategies - Failure modes in complex SaaS systems - Hands-on experience with: - UI automation (Playwright / Cypress / Selenium) - API testing - Demonstrated use of AI in QA beyond basic test generation - Autonomous testing - AI-assisted exploratory testing - Intelligent test orchestration - Ability to explain how AI systems decide what to test next Requirements - Strongly Preferred: - Experience designing QA frameworks or platforms - Experience integrating QA into CI/CD at a system level - Performance / reliability testing - Healthcare or regulated systems experience - Prior work where QA influenced architecture decision Benefits - Remote-first - Equipment stipend - Local holidays (India) - Learning budget (QA, security, cloud, AI tools)

• Define and execute the workstream automation and quality engineering roadmap • Establish governance frameworks, standards, and KPIs for automation • Drive modernization of legacy testing practices toward scalable, automation-first models • Lead shift-left quality initiatives and continuous testing strategies • Oversee automation across API, UI, and data pipelines • Establish best practices for validating data accuracy and integrity • Implement defect prevention frameworks, root cause analysis practices, and release governance models • Build, scale, and mentor high-performing automation and quality engineering teams