StarCompliance
Product Development
AIQualityEngineeringLead
Neural analysis suggests this role is
optimal for Lead candidates.
“AI Quality Engineering Lead at StarCompliance. Skills: AI Quality Engineering, Agentic Engineering, Quality Engineering, Automation, Performance and Scalability Testing, Technical Leadership. AI & Agentic Quality Engineering Lead adoption of AI-assisted testing tools and agentic engineering workflows. Design and implement autonomous and semi-autonomous testing agents”
What You'll Achieve.
Improve release confidence through automation, telemetry, and quality intelligence; Define meaningful quality metrics aligned to operational and customer outcomes; Use data-driven insights to identify risks and drive continuous improvement
Industry & Context.
analytical; Identify bottlenecks
pre-employment screening, background investigation, criminal record history checks, consumer credit checks, employment history checks, qualifications checks, education checks, employees potentially having access to highly sensitive and confidential information involving finance, candidates must be trustworthy, heightened sensitivity to protecting confidential financial, professional information
What They're Looking For.
Must Have
background in Quality Engineering, Software Engineering, or SDET disciplines, Hands-on experience with automation frameworks and modern CI/CD pipelines, Experience implementing AI-assisted development or testing workflows, Knowledge of agentic systems, autonomous workflows, or AI-driven automation, understanding of performance and scalability testing, Experience testing APIs, distributed systems, cloud-native platforms, and microservices, Excellent analytical, communication, and technical leadership skills
Nice to Have
Experience within SaaS or regulated software environments, Knowledge of Azure cloud platforms and DevOps tooling, Familiarity with observability, telemetry, and production monitoring, Understanding of modern engineering metrics including DORA and release health indicators, Experience leading quality transformation initiatives
What You'll Do.
AI & Agentic Quality Engineering Lead adoption of AI-assisted testing tools and agentic engineering workflows
Design and implement autonomous and semi-autonomous testing agents
Develop best practices for AI-generated testing
intelligent validation
and automated quality analysis
Enable engineering teams to embed AI-driven quality practices into day-to-day delivery
Own release quality strategy across products and services
Build scalable end-to-end
and regression testing approaches
Improve release confidence through automation
and quality intelligence
Define and execute performance
and scalability testing strategies
Validate reliability across distributed and high-volume environments
Identify bottlenecks and support engineering teams in improving platform resilience
Establish frameworks and standards for modern quality engineering
Partner with development teams to strengthen automation and quality ownership
Mentor engineers in automation
and agentic engineering practices
Define meaningful quality metrics aligned to operational and customer outcomes
Build dashboards focused on release health
and platform performance
Use data-driven insights to identify risks and drive continuous improvement
How You'll Work.
Team & Collaboration
Enable engineering teams to embed AI-driven quality practices into day-to-day delivery; Partner with development teams to strengthen automation and quality ownership; Support engineering teams in improving platform resilience
Communication Scope
communication
Process & Methodology
Own release quality strategy across products and services, Experience leading quality transformation initiatives
Full Job Description
## Key Responsibilities AI & Agentic Quality Engineering Lead adoption of AI-assisted testing tools and agentic engineering workflows. Design and implement autonomous and semi-autonomous testing agents. Develop best practices for AI-generated testing, intelligent validation, and automated quality analysis. Enable engineering teams to embed AI-driven quality practices into day-to-day delivery. Platform & Release Quality Own release quality strategy across products and services. Build scalable end-to-end, integration, and regression testing approaches. Improve release confidence through automation, telemetry, and quality intelligence. Performance & Scalability Testing Define and execute performance, load, stress, and scalability testing strategies. Validate reliability across distributed and high-volume environments. Identify bottlenecks and support engineering teams in improving platform resilience. Quality Engineering Enablement Establish frameworks and standards for modern quality engineering. Partner with development teams to strengthen automation and quality ownership. Mentor engineers in automation, AI-assisted testing, and agentic engineering practices. Metrics & Quality Intelligence Define meaningful quality metrics aligned to operational and customer outcomes. Build dashboards focused on release health, reliability, and platform performance. Use data-driven insights to identify risks and drive continuous improvement. ## Skills and Experience Strong background in Quality Engineering, Software Engineering, or SDET disciplines. Hands-on experience with automation frameworks and modern CI/CD pipelines. Experience implementing AI-assisted development or testing workflows. Knowledge of agentic systems, autonomous workflows, or AI-driven automation. Strong understanding of performance and scalability testing. Experience testing APIs, distributed systems, cloud-native platforms, and microservices. Excellent analytical, communication, and technical leadership skills.
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