Lead Automation Engineer

Wissen Technology is hiring for Lead Automation Engineer

About Wissen Technology: 

At Wissen Technology, we deliver niche, custom -built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting -edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time -to -market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission -critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome -based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top -tier talent.  Our mission is clear: to be the partner of choice for building world -class custom products that deliver exceptional impact—the first time, every time.

Job Summary: 

We are seeking a Lead Test Automation Engineer who operates at the intersection of modern test automation and Agentic AI systems. This role focuses on designing workflows where AI agents can deliver tests end -to -end while ensuring quality through robust guardrails, validation systems, and security practices. The role is critical in enabling teams to scale productivity and deliver high -quality software in an AI -native development environment.

Key Responsibilities:

• Design and implement agentic workflows for end -to -end tests delivery using AI agents
  
• Define and maintain guardrails such as AGENTS.md, validation checkpoints, and test frameworks
  
• Architect and scale UI and API test automation frameworks
  
• Write clear, maintainable, and reusable test specifications
  
• Critically evaluate AI -generated code and test outputs for accuracy and completeness
  
• Identify and mitigate AI -related security risks such as over -permissions, insecure dependencies, and data leakage
  
• Establish metrics to measure team productivity and AI impact
  
• Mentor team members on modern QA practices and AI -driven development workflows
  

Technical Skills (including Agentic AI)

• Strong experience with test frameworks: JUnit, Cucumber, RestAssured, Mock frameworks
  
• Expertise in UI automation tools such as Selenium, Playwright, or Cypress
  
• Solid understanding of API testing and backend validation strategies
  
• Strong SQL skills for data validation and debugging
  
• Proficiency in Java or similar programming languages
  
• Understanding of Agentic AI systems, workflows, and prompt/instruction design (e.g., AGENTS.md)
  
• Ability to design test strategies for AI -generated code and workflows
  
• Experience critically assessing AI outputs and improving their reliability
  
• Demonstrated success signals: authorship of AGENTS.md, end -to -end agentic feature delivery, measurable improvements in team productivity
  

Soft Skills

• Strong critical thinking and analytical skills
  
• Ability to adapt quickly to evolving AI technologies and tools
  
• Clear and effective communication, especially in writing specifications
  
• Ownership mindset focused on team -level impact
  
• Problem -solving mindset with attention to detail
  
• Reviewing the work from junior members in the test automation team and help them grow to use Agentic AI workflows
  

Nice to Have

• Experience with CI/CD pipelines and automated testing integration
  
• Exposure to AI safety, governance, and secure system design
  
• Experience testing microservices or distributed systems
  
• Familiarity with modern DevOps practices
  

Wissen Sites: 

• Website: www.wissen.com
  
• LinkedIn: https://www.linkedin.com/company/wissen -technology
  
• Wissen Leadership: Leadership Team | Wissen
  
• Wissen Live: https://www.linkedin.com/company/wissen -technology/posts/feedView=All
  
• Wissen Thought Leadership: https://www.wissen.com/articles/