Test Automation Engineer (AI/ML)

Location: Remote within the United States, with a strong preference for candidates in the Washington, DC metropolitan area and occasional onsite meetings in Washington, DC. All work must be performed in the U.S.; foreign access and personal VPN connections are prohibited.

Salary: $81,499.00–$138,549.00 annually

Company

hirify.global is an advisory and technology services provider delivering cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation solutions for federal clients.

What you will do

• Implement automated testing, release validation, quality gates, rollback readiness checks, and release evidence capture.
• Convert business requirements, user stories, and acceptance criteria into automated or repeatable tests.
• Validate functional, integration, security, accessibility, load, and performance expectations across applications, data platforms, APIs, and AI/ML workloads.
• Coordinate release readiness with Agile Delivery Managers, Functional Leads, SRE, engineering, security, governance, and customer-facing stakeholders.
• Document test results, risks, defects, decisions, compliance artifacts, and delivery evidence to support traceability and continuous improvement.

Requirements

• U.S. citizenship, U.S. residency, and authorization to work in the U.S. are required.
• Three full years of residence in the U.S. during the last five years are required.
• Bachelor’s degree in a relevant computer science, software engineering, information systems, quality engineering, or computer engineering field, or a high school diploma with four additional years of relevant experience.
• At least six years of relevant experience; a master’s degree may substitute for two years of experience.
• Experience with automated functional, regression, integration, end-to-end, smoke, user acceptance, load, performance, scalability, resiliency, or accessibility testing.
• Experience with testing frameworks and tools such as Selenium, Playwright, Cypress, Postman, REST Assured, JMeter, or LoadRunner, plus CI/CD platforms such as Azure DevOps, GitHub Actions, or Jenkins.

Nice to have

• Experience with Azure, Databricks, data pipelines, workflow orchestration, business intelligence tools, and enterprise applications.
• Experience supporting platform modernization, analytics, data engineering, AI/ML, federal government, healthcare, or other regulated environments.
• Knowledge of AI/ML testing, model validation, data validation, prompt evaluation, responsible AI, Section 508, security testing, and compliance requirements.
• Experience working in Agile, Scrum, SAFe, or cross-functional delivery teams.

Culture & Benefits

• Full-time employment supporting a federal data and analytics modernization program.
• Remote work within the United States with occasional client-site meetings in Washington, DC.
• Collaboration across technical and non-technical stakeholders with an emphasis on quality, accountability, and continuous improvement.
• Equal opportunity employer with reasonable accommodations available throughout the application and employment process.

Hiring process

• The role is contingent upon a contract award; interviews and offers are being conducted in anticipation of the award.
• Applications must be submitted directly by the applicant.