3 Testrigor Jobs

We are seeking full stack Senior Solution Engineers with a solid background in .NET development to join our team. In this role, you will utilize your expertise to design, implement, and maintain complex software applications. We are looking for detail-oriented professionals who excel both independently and in team settings, delivering high-quality solutions with precision and passion. Fluency in UX, webservices, database, and infrastructure layers is essential for success in this position. We value individuals with a strong work ethic, a sense of urgency, and a commitment to timely quality delivery. This role is based in Mumbai, India, and knowledge or interest in AI/ML, LLMs, and Prompt Engineering is a strong plus. PristineAI is a leader in integrated optimization solutions for retail pricing, promotions, personalization, and assortment. Headquartered in Woburn, MA, with AI Engineering labs in Mumbai and Chennai, we are a team of innovators, subject-matter experts, and AI specialists dedicated to pushing the boundaries of AI to create groundbreaking enterprise solutions. Our platforms include Kai, a Conversational AI platform democratizing AI for decision-makers, and Presto, a Predictive Optimization platform that significantly improves retailers" profitability. Our SaaS platform processes over 30 million new customer interactions daily, representing 12,000 stores/websites and 30 million customers. **Role**: Senior Solution Engineer - Microsoft .NET, Mumbai, India **Experience**: 3 - 5 years **Qualification**: Bachelors or Masters in Computer Science/Information Technology **Key Attributes and Abilities**: - Strong work ethic, productivity focus, and client orientation - Quality and process orientation - Excellent communication and presentation skills - Troubleshooting technical issues and Performance Engineering - Exceptional problem-solving abilities - Strong logical and technical design skills - Proficiency in writing clean, reliable, efficient, and maintainable code - Adaptability to dynamic environments - Collaborative mindset - Hands-on experience from concept to deployment and support - Proficiency in rigorous reviews and offering quality feedback - Analyzing and resolving software defects and performance bottlenecks - Coursework in AI and ML is advantageous **Hands-on Expertise**: - Microsoft: .NET Core, ASP.NET, C#, NUNIT - MVC, Web Services, REST API, JavaScript, jQuery, CSS, React, Testing Frameworks - Tomcat, IIS, Docker, Kubernetes - Oracle, MySQL, NoSQL, Apache Kafka, In-memory Processing - GitHub Copilot, GIT, JIRA, testRigor, JUnit, Jenkins, OAuth - O/S: Linux, Unix, Windows **Job Responsibilities**: - Contribute to full solution lifecycle - Practice PristineAI's formal solution life cycle process - Create, review, and certify requirements, designs, code, and user documentation - Architect robust data structures and define specifications - Code with passion and focus on clean, scalable, and dependable solutions - Speed up processes and automate tasks - Create and execute meticulous test scenarios for reliability - Focus on User experience and interface refinement - Document technical intricacies and project milestones accurately **Remuneration and Benefits**: - Start-up environment shaping the industry's future - Work with talented and driven Retail Experts, AI Experts, and Solution Engineers - Annual 2 Weeks Study Time - Competitive salaries, generous equity, and health insurance coverage Pristine AI is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment for all employees.,

Key Responsibilities • Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms. • Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization. • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics. • Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts. • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.). • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted. • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability. • Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices. Required Skills • Proficiency in Java, Python, Node.js, or similar scripting languages. • Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom solutions using React/D3.js). • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool. Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium). Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Familiarity with databases (SQL, NoSQL) and working with test data at scale. Experience in building REST APIs or microservices for internal use. Nice to Have Experience with GenAI or LLM integration for test case generation or failure analysis. Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases. Exposure to containerization (Docker/K8s) and cloud platforms (AWS/GCP/Azure). Understanding of observability tools like Prometheus or ELK stack. Knowledge of software telemetry, test coverage reporting, and static/dynamic code analysis tools.

Key Responsibilities • Test Automation Development: Build and maintain robust, scalable test automation frameworks for API, web, and mobile platforms. • Design, develop, and maintain internal tools that enhance automation capabilities, CI/CD integration, and test data visualization. • Build intelligent dashboards for real-time reporting of test results, release quality metrics, and defect analytics. • Develop AI/ML-based solutions to optimize test case prioritization, test suite reduction, flakiness prediction, and self-healing scripts. • Integrate tools and dashboards with CI pipelines (e.g., Jenkins, GitHub Actions) and test frameworks (Selenium, Playwright, etc.). • Work closely withSREs, and DevOps teams to ensure tools are scalable, performant, and well-adopted. • Create APIs, microservices, or CLI tools that support testing workflows, artifact management, and defect traceability. • Continuously evaluate new AI/ML advancements and incorporate them into test engineering practices. Required Skills • Proficiency in Java, Python, Node.js, or similar scripting languages. • Hands-on experience with dashboarding tools (Grafana, Kibana, Superset, or custom solutions using React/D3.js). • Working knowledge or experience with Mabl, TestRigor, or any AI automation tool. Strong understanding of test automation frameworks (e.g., Pytest, Playwright, Cypress, Selenium). • Experience integrating tools with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). Familiarity with databases (SQL, NoSQL) and working with test data at scale. Experience in building REST APIs or microservices for internal use. Nice to Have Experience with GenAI or LLM integration for test case generation or failure analysis. Working knowledge of AI/ML libraries like Scikit-learn, TensorFlow, or transformers for testing-centric use cases. Exposure to containerization (Docker/K8s) and cloud platforms (AWS/GCP/Azure). • Understanding of observability tools like Prometheus or ELK stack. Knowledge of software telemetry, test coverage reporting, and static/dynamic code analysis tools.