Lead Test Engineer (Automation)
HID
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
HID Global is seeking a Lead Test Engineer to drive QA initiatives across software products, focusing on AI/ML, agents, and RAG systems. The role entails defining test strategies, advancing automation, mentoring QA teams, and collaborating with cross-functional stakeholders to ensure reliability, accuracy, security, and scalable solutions.
The candidate will champion test planning, automation frameworks, quality processes, and modern Agile delivery methodologies to deliver high-quality software
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- 6+ years of software testing and quality assurance experience.
- 3+ years leading testing teams or quality engineering initiatives.
- Experience working in Agile/Scrum environments.
Responsibilities
- Define and implement end-to-end testing strategies for AI/ML products and agent-based solutions.
- Establish quality frameworks for LLMs, RAG applications, copilots, and autonomous AI agents.
- Develop test plans, test scenarios, test cases, and test execution schedules.
- Coordinate defect tracking, triage, and resolution processes.
- Lead functional, integration, system, regression, and user acceptance testing activities.
Skills
Education
Tools
Job description
We are looking for an experienced Lead Test Engineer to lead quality assurance initiatives across software products and platforms. The ideal candidate will be responsible for defining test strategies, driving automation, ensuring product quality, mentoring QA teams, and collaborating with cross-functional stakeholders to deliver reliable and scalable solutions across Generative AI, LLM-based solutions, AI agents, multi-agent workflows, RAG systems, and traditional software platforms, ensuring reliability, accuracy, security, scalability, and responsible AI compliance.
This role requires strong expertise in test planning, automation frameworks, quality processes, and modern Agile delivery methodologies.
HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses, and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 4500 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai). Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo
LinkedIn: www.linkedin.com/company/hidglobal/mycompany/
Our company is committed to finding the best and the brightest talent to help us reach the top. If you are a dynamic, highly skilled, experienced Cloud engineer and technology enthusiast, and you enjoy working in a rapid pace within a rapidly growing business environment, then you will want to consider this position. If you excel at communication, collaboration, and unrelenting innovation, we want to talk to you. And if you bring dedication, positive energy and integrity to the table, you just might be the right fit for our team.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
- Define and implement end-to-end testing strategies for AI/ML products and agent-based solutions.
- Establish quality frameworks for LLMs, RAG applications, copilots, and autonomous AI agents.
- Accuracy
- Tool invocation correctness
- Workflow reliability
- Define and implement overall testing strategy for projects and releases.
- Develop test plans, test scenarios, test cases, and test execution schedules.
- Identify quality risks and recommend mitigation strategies.
- Ensure comprehensive coverage across functional and non-functional requirements.
- Lead functional, integration, system, regression, and user acceptance testing activities.
- Coordinate defect tracking, triage, and resolution processes.
- Validate software releases against business and technical requirements.
- Ensure adherence to quality standards and best practices.
- Design and maintain scalable test automation frameworks.
- Increase automation coverage for web, API, and backend applications.
- Integrate automated tests into CI/CD pipelines.
- Continuously improve test efficiency through automation and innovative testing techniques.
- Coordinate performance, load, stress, and scalability testing.
- Identify bottlenecks and performance issues.
- Support security testing and vulnerability assessments.
- Ensure system reliability under expected and peak workloads.
- Lead and mentor QA engineers and test teams.
- Conduct test reviews and quality audits.
- Collaborate with Product Owners, Developers, Architects, and Business Analysts.
- Provide regular status reports, quality metrics, and release readiness assessments.
- Drive continuous improvement initiatives across QA practices.
- Establish quality metrics and KPIs.
- Promote shift-left testing and quality engineering practices.
- Introduce industry’s best practices, tools, and methodologies.
- Experience with Microsoft Copilot, AI Agents, or Agentic AI platforms.
- Understanding of Responsible AI principles and governance.
- Experience testing enterprise AI solutions integrated with Microsoft 365, SAP, Salesforce, or ServiceNow.
- Knowledge of ML model lifecycle and MLOps practices.
- Certifications in Azure AI, AWS AI, or ISTQB Advanced Test Management.
- Knowledge of containerization technologies such as Docker and Kubernetes.
- Experience in test automation framework design and implementation.
- Exposure to performance testing tools such as JMeter or LoadRunner.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- 6+ years of software testing and quality assurance experience.
- 3+ years leading testing teams or quality engineering initiatives.
- Experience working in Agile/Scrum environments.
- Strong understanding of SDLC and STLC.
- Experience with test management and defect tracking tools.
- Functional Testing
- Integration Testing
- Regression Testing
- API/UI Testing
- Performance Testing
- Automation Testing
- Integrate automated testing into CI/CD pipelines.
- Develop automated test suites for AI and agent behavior validation.
- Validate multi-step agent workflows and decision-making processes.
- Test agent interactions with external tools, APIs, databases, and enterprise systems.
- Evaluate:
- Agent orchestration
- Memory management
- Failure recovery mechanisms
- Define benchmarks for model performance and response quality.
- Create datasets and evaluation pipelines for:
- Response scoring
- Regression testing
- Safety validation
- Monitor AI outputs for consistency, bias, toxicity, and compliance risks.
- Conduct load, stress, scalability, and reliability testing of AI services.
- Validate model latency, throughput, and token utilization.
- Perform security testing including:
- Jailbreak vulnerability assessments
- Data leakage testing
- Access control validation
- Selenium
- Playwright
- Cypress
- Appium
- REST Assured
- Postman
- Django
- Python
- React
- Jenkins
- GitHub Actions
- Anthropic Claude
- Gemini
- LangChain
- Semantic Kernel
- AutoGen
- CrewAI
- LangGraph
- DeepEval
- Ragas
- TruLens
- LangSmith Evaluation
- AWS
- GCP
- GitHub Actions
- Jenkins
- Docker
- SQL
- Vector Databases
- Pinecone
- Weaviate
- Chroma
- Leadership and mentoring
- Analytical and problem-solving skills
- Excellent communication and stakeholder management
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