Senior QA Engineer

Who We Are

Ontic provides software that helps corporate and government security teams identify threats, assess risk, and respond faster to keep people and organizations safe. Its AI-powered Connected Intelligence Platform unifies security operations and data into a centralized system of record, enabling organizations to conduct risk assessments, protect against workplace violence, and manage threats and incidents more efficiently. Fortune 500 companies and federal agencies rely on Ontic to support security programs such as executive protection, threat intelligence, and corporate investigations. Learn more at ontic.ai or follow us on LinkedIn.

Key Responsibilities

• Design, develop, and execute test cases for front-end, API, and integration testing using AI generated test cases with humans in the loop for review.

• Risk-based test planning and estimation, identifying critical scenarios, edge cases, negative testing, exploratory testing and determining appropriate regression coverage across multiple releases.

• Ensure test coverage and quality standards are maintained for Commercial and FedRAMP customers.

• Collaborate with product, developers and QA team members to resolve issues effectively.

• Own quality for assigned features from requirements through production readiness, including test strategy, execution, automation, defect management and release risk communication.

• Support system integration testing and continuous delivery workflows (CI/CD).

• Identify automation opportunities and contribute to building test automation frameworks.

• Work independently with minimal supervision, and proactively communicate progress and blockers.

• Participate in requirement/design discussions, review acceptance criteria, identify testability gaps and risks before development begins.

• Review test cases/automation created by other engineers, share best practices, and mentor junior QA engineers. This is an important Senior-level differentiator.

Knowledge and Technical Skills

• 5-10 years of experience in manual and automation testing is a must.

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.

• Strong understanding of QA methodologies, software development lifecycle, and testing best practices.

• Experience with test management tools like JIRA.

• Proven ability in functional, regression, and integration testing.

• Familiarity with Agile/Scrum development processes.

• Comfortable working in a fast-paced startup environment with a willingness to learn and adapt.

• Prior experience with FedRAMP or secure testing practices is a strong plus.

• Excellent communication and collaboration skills.

• Experience in automation frameworks or scripting.

• Exposure to FedRAMP environments or working on government projects.

• Experience with MongoDB, AWS, and Elasticsearch is highly desirable and would be a strong advantage.