Note: The job is a remote job and is open to candidates in USA. StarCompliance is a company that builds software for critical compliance needs for global clients, with AI as a core capability in their products. They are seeking an experienced AI Quality Engineering Lead to drive automation-first quality engineering, focusing on AI-assisted testing, automation strategy, and performance validation across various platforms.
Responsibilities
- 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, integration, and regression testing approaches
- Improve release confidence through automation, telemetry, and quality intelligence
- 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
- 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
- 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
- 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
- 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
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