Technical Automation Lead

Thoriva

• Remote
• Full-Time

Thoriva, an Infinite Company, is seeking an experienced IT Automation Leader to lead and develop its existing test automation engineers, establish modern and consistent automation standards, and champion an automation-first mindset across technology delivery and operations.

This leader will strengthen the team’s current test automation capabilities while building a practical roadmap for broader automation. The role will improve framework ownership, engineering discipline, delivery consistency, and measurement across web, API, mainframe, data, and integration testing, then apply those practices to other repeatable activities across software delivery and IT operations.

The successful candidate will be a hands-on people and technology leader who can balance immediate delivery needs with long-term transformation, earn the trust of engineers and stakeholders, and make automation a fundamental part of how work is designed and executed.

Thoriva is an AI technology company delivering intelligent, data-driven solutions to transform government operations. We combine AI solutions, commercial expertise, and complex business logic to address government and federal agencies’ biggest challenges.

As Technical Automation Leader, you will focus on three priorities: leading the existing test automation engineering team; adopting modern, sustainable automation standards; and championing automation across application delivery, IT operations, infrastructure, data processing, and business workflows. You will translate these priorities into measurable improvements in delivery speed, test coverage, reliability, consistency, cost, and risk reduction.

• Provide day-to-day leadership, coaching, prioritization, and technical direction for the existing test automation engineers and technical leads.
• Assess current team capabilities, clarify roles and ownership, identify skill gaps, and establish development plans that strengthen both technical depth and business knowledge.
• Align automation work with release priorities, product risk, recurring regression needs, and the areas of greatest manual effort.
• Improve planning, estimation, execution, code review, defect triage, maintenance, and reporting practices across the team.
• Create clear accountability for automation frameworks, shared components, test data, environments, execution results, and failure analysis.
• Build a culture of collaboration, engineering discipline, continuous learning, and measurable delivery outcomes.
• Partner with Development, Quality Engineering, Release Management, and business stakeholders to integrate automation into delivery decisions and operating processes.

• Define and implement enterprise standards for UI, API, mainframe, integration, regression, batch, and data-validation automation.
• Establish reusable architecture patterns, coding conventions, source-control practices, code-review expectations, documentation requirements, and framework governance.
• Modernize existing frameworks and toolsets to improve reliability, maintainability, scalability, execution speed, and ease of use.
• Integrate automated validation into CI/CD pipelines and release processes to provide earlier feedback and consistent delivery controls.
• Establish standards for test data management, environment readiness, result reporting, failure classification, defect traceability, and maintenance of automated assets.
• Define an automation roadmap across legacy, web, API, cloud, mainframe, data, and infrastructure technology stacks.
• Use meaningful metrics—including…