Engineering Lead, Test

QA Lead – AI Product Quality and Test Automation

Reston, VA or Remote

 

 

About ScienceLogic…

 

ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.

We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.

 

What we’re looking for…

 

Skylar AI team is seeking an experienced QA Lead to oversee the quality assurance program for Skylar Advisor, our flagship AI-powered product built on open-source models. In this critical role, you will serve as the functional QA Lead for a team of four test automation engineers based in India (with overlap in US hours). You will provide day-to-day technical direction, coordinate testing activities, and ensure high-quality delivery across both backend services and front-end interfaces of the product. This position is approximately 50% hands-on and 50% technical leadership. This hybrid role combines hands-on testing -- influencing team workflow and quality strategy – with functional leadership, making it ideal for someone building toward future engineering management, but at present carries no direct reports or performance management responsibilities. You will act as the subject matter expert in quality assurance – establishing, running, and defending the testing program – and ensure that our AI product meets the highest standards of reliability, performance, and user satisfaction. This role is US-based and reports to the head of Skylar AI engineering, working alongside other engineering managers.

 

What you’ll be doing…

 

This QA Lead position offers the opportunity to shape the quality of an advanced AI product and functionally lead a talented QA team. Skylar AI team is looking for a quality champion who will advance our standards of excellence. Activities include:

• Quality Strategy & Planning: Define and own the overall testing strategy, plans, and standards for Skylar Advisor. This includes outlining test approaches for new features, determining the scope of testing, and resource planning for the QA team.
• Test Automation Leadership: Provide technical leadership in building and maintaining robust test automation frameworks for both backend and front-end testing.
• Leadership & Mentorship: Functional leadership to a distributed QA team of four automation engineers in India. Manage day-to-day team activities and mentor team members.
• Hands-on Testing & Execution: Participate in execution of test plans and handle complex testing scenarios.
• Defect Management: Ensure thorough tracking of defects using Jira and Xray.
• Process Improvement: Continuously evaluate and improve QA processes.
• Cross-Functional Collaboration: Act as QA liaison across engineering, product, UX, and DevOps.
• Quality Metrics & Reporting: Monitor testing progress and product quality through defined KPIs.
• Stakeholder Communication: Present QA program and results to senior leadership.
• Innovation and Tooling: Adopt new testing tools, including AI-driven tools.
• Global Team Coordination: Ensure effective coordination between US and India teams.

 

Qualities you possess…

 

Required qualities:

• Bachelor’s degree in Computer Science, Information Technology, related field, or equivalent work experience.
• 10+ years of experience in software QA with strong test automation background, and a minimum of 2 years in a QA leadership role.
• Proven expertise in testing planning, execution, and reporting, with a strong understanding of QA methodologies, tools, and processes.
• Expertise in Python for test scripting.
• Proficiency with Jira and Xray.
• Experience testing AI/ML-driven applications.
• Familiarity with AI-based testing tools
• Knowledge of CI/CD processes and tools (e.g., Jenkins, GitLab CI)
• Solid understanding of backend systems and databases; Go and SQL familiarity is a plus.
• Strong leadership, communication, and cross-team collaboration skills.
• Ability to present QA programs and results to senior leadership.
• Thrives in a fast-paced, dynamic environment and adapts to changing priorities.

Preferred qualities

• Domain knowledge in AI/ML development and evaluation.
• QA certifications (e.g., ISTQB).