Salary
≈ $21k – $61k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match
Wissen is a global technology consulting and software engineering firm specializing in digital transformation and custom software development. Founded in 2000, the company delivers end-to-end technology solutions across key sectors, including banking and financial services, healthcare, telecommunications, and retail. Its core offerings span application modernization, cloud architecture, artificial intelligence and machine learning, big data analytics, DevOps, and quality assurance.
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.
Responsibilities:
- Design and implement agentic workflows for end-to-end test 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.
Requirements:
- BS/MS in computer science or a related field.
- 8+ years of experience in test automation or software engineering.
- Strong experience with test frameworks: JUnit, Cucumber, RestAssured, and 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, and 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 helping 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.
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