Principal Quality Engineering

Company: LogiQlink Technologies Private Limited

Location: Indore, Madhya Pradesh, India

Employment Type: Full-time

Work Mode: On-site / Hybrid (Fully remote is not available)

Experience: 15+ Years

About LogiQlink Technologies

LogiQlink Technologies is a technology engineering and software development company specializing in building innovative, scalable, and reliable digital solutions for businesses worldwide.

Our expertise spans software engineering, mobile and web applications, IoT, embedded systems, cloud technologies, and AI/ML solutions. We work with global clients to solve complex engineering challenges and deliver high-quality technology products.

We are expanding our engineering capabilities and looking for an experienced Principal Quality Engineering professional to lead the design and implementation of modern quality engineering practices, automation frameworks, and AI-powered testing solutions.

About the Role

We are seeking a hands-on technical leader who can architect, develop, and implement scalable quality engineering solutions across complex software platforms.

This role goes beyond traditional quality assurance. You will be responsible for building automation frameworks, integrating testing into CI/CD pipelines, developing reliable test infrastructure, and exploring AI-driven approaches to software quality.

You will collaborate with engineering teams, architects, product stakeholders, and international clients to establish quality engineering standards, improve release reliability, and drive continuous improvement.

The ideal candidate combines strong software engineering skills with deep expertise in test automation, DevOps practices, and up-to-date AI-based testing methodologies.

Key Responsibilities

1. Quality Engineering Strategy & Architecture

- Design and implement comprehensive test strategies across unit, API, integration, UI, end-to-end, performance, and AI evaluation testing.
- Establish scalable testing architectures, quality gates, and engineering best practices.
- Define measurable quality metrics, including test coverage, execution reliability, defect leakage, and release readiness.
- Identify weaknesses in existing automation systems and implement improvements.

2. Test Automation Framework Development

- Architect and build robust automation frameworks using Playwright, TypeScript, and other modern testing technologies.
- Develop reusable components, test fixtures, and maintainable automation libraries.
- Implement automated testing for REST APIs, GraphQL services, databases, and distributed systems.
- Ensure automation code follows software engineering best practices, including version control, code reviews, and maintainability standards.
- Improve test execution speed, reliability, and scalability through parallelization and efficient test design.

3. CI/CD & DevOps Integration

- Design, implement, and maintain automated testing pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar platforms.
- Integrate automated tests, static analysis, security checks, and quality gates into development workflows.
- Develop strategies for continuous testing and automated release validation.
- Optimize pipeline performance,



execution time, and failure reporting.
- Collaborate with DevOps and platform engineering teams to improve delivery reliability.

4. Test Infrastructure & Data Engineering

- Build and maintain reliable test environments using Docker, cloud infrastructure, and infrastructure-as-code tools.
- Implement automated environment provisioning, configuration, and cleanup.
- Develop reusable test data generation, seeding, and management solutions.
- Ensure deterministic and reproducible test execution across different environments.
- Implement secure handling of test data, credentials, and sensitive information.

5. AI-Powered Testing & Automation

- Explore and implement AI-driven quality engineering solutions to improve automation efficiency and coverage.
- Develop AI agents and intelligent workflows for test generation, exploratory testing, failure analysis, and defect reporting.
- Integrate Large Language Models (LLMs) into testing and engineering workflows.
- Implement controlled and measurable AI-assisted automation with appropriate validation and human oversight.
- Evaluate AI testing tools and frameworks for practical engineering use cases.

6. LLM Evaluation & AI Application Testing

- Design evaluation frameworks for applications powered by LLMs, AI agents, and retrieval-augmented generation (RAG).
- Build automated evaluation datasets, regression suites, and validation workflows.
- Evaluate AI system behavior for correctness, reliability, security, and performance.
- Test prompt handling, structured outputs, tool usage, retrieval accuracy, and edge cases.
- Integrate AI evaluation workflows into CI/CD pipelines to support continuous quality assurance.

7. Performance, Reliability & Observability

- Design and implement performance, load, stress, and resilience testing strategies.
- Establish monitoring and reporting mechanisms for automation execution and quality metrics.
- Analyze failures using logs, traces, execution reports, and other diagnostic information.
- Develop processes for identifying flaky tests, infrastructure issues, and application defects.
- Collaborate with engineering teams to improve application reliability and release confidence.

8. Technical Leadership & Collaboration

- Provide technical leadership and architectural guidance to quality engineering and development teams.
- Mentor engineers and promote strong engineering practices.
- Conduct technical reviews of automation architecture, frameworks, and implementation.
- Work closely with international clients and senior engineering stakeholders to understand requirements and deliver solutions.
- Drive adoption of reusable automation frameworks, tools, and engineering standards across projects.

Required Qualifications & Experience

- 15+ years of experience in software engineering, quality engineering, test automation, or related disciplines.




- Proven experience designing and implementing enterprise-grade automation frameworks.
- Strong hands-on expertise with Playwright and TypeScript.
- Extensive experience in API testing, integration testing, and end-to-end automation.
- Strong understanding of software architecture, object-oriented programming, and maintainable automation design.
- Hands-on experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Experience with Docker, containerized testing environments, and cloud-based infrastructure.
- Experience integrating LLMs into engineering workflows, building AI agents, or implementing AI-powered testing solutions.
- Understanding of AI/LLM evaluation methodologies, including deterministic and probabilistic testing.
- Familiarity with modern DevOps practices, test infrastructure management, and automated quality gates.
- Strong analytical, problem-solving, and debugging skills.
- Experience leading technical initiatives and mentoring engineering teams.
- Excellent written and verbal communication skills, including experience collaborating with international stakeholders.

Preferred Qualifications

- Experience with Python for automation and AI-related tooling.
- Knowledge of SQL, database testing, GraphQL, and contract testing.
- Experience with Terraform, Kubernetes, and cloud platforms such as AWS or Azure.
- Familiarity with performance testing tools such as k6, JMeter, or equivalent.
- Experience with RAG evaluation, AI agent orchestration, and LLM evaluation frameworks.
- Knowledge of security testing, authentication, authorization, and data protection practices.
- Experience testing distributed systems, microservices, and enterprise applications.
- Exposure to enterprise platforms such as Salesforce, MuleSoft, or similar technologies.

What We Offer

- Opportunity to work on challenging engineering projects for international clients.
- Hands-on involvement in modern automation, AI, and software engineering technologies.
- A technical leadership role with the opportunity to influence architecture and engineering practices.
- A collaborative environment that encourages innovation, ownership, and continuous learning.
- Opportunities to develop reusable engineering solutions and contribute to expanding our technical capabilities.
- A flexible hybrid working arrangement for eligible candidates.

Work Location & Arrangement

Location: Indore, Madhya Pradesh

This is an Indore-based position. Candidates should be willing to work from our Indore office, with hybrid working arrangements considered based on project requirements and mutual agreement.

Fully remote applications will not be considered.

The role may require collaboration with international clients across different time zones.

How to Apply

Interested candidates can apply through this LinkedIn job posting with their updated resume.

We encourage applicants to highlight their experience in automation architecture, CI/CD implementation, AI-powered testing, and technical leadership.

- Join LogiQlink Technologies and help build the next generation of intelligent, scalable, and reliable quality engineering solutions.

📌 Principal Quality Engineer (Indore)
🏢 Logiqlink Technologies
📍 Indore