Specialist Automation Engineer
India - Pune
NICE
Discover NICE’s AI customer service automation solutions to improve CX and boost efficiency. Transform your customer interactions today!At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
As a Specialist QA Engineer, you will ensure the delivery of a highly reliable and intelligent Contact Center Copilot solution by leading quality assurance strategies across AI-driven and LLM-based functionalities. Leveraging your expertise in testing frameworks, automation, and AI validation techniques, you will establish robust QA processes that ensure every feature is both scalable and secure. Your role will also involve mentoring team members, collaborating with cross-functional teams, and contributing to the product’s overall excellence.
How will you make an impact?
- Design and implement comprehensive test strategies for AI-powered systems.
- Develop and maintain automated test frameworks for APIs, integrations, and workflows.
- Validate the performance and accuracy of LLMs in real-world scenarios.
- Create test cases to ensure the robustness of prompts and fine-tuned AI models.
- Lead end-to-end testing efforts for bot functionality and CRM integrations.
- Collaborate with developers to ensure testability and adherence to quality standards.
- Use advanced tools to automate regression, performance, and stress testing.
- Ensure cloud-based deployments meet reliability and performance benchmarks.
- Verify containerized solutions built on Docker and Kubernetes.
- Establish monitoring and alerting mechanisms for quality assurance in production.
- Provide leadership in identifying and resolving critical production bugs.
- Collaborate with DevOps teams to ensure CI/CD pipelines include effective QA steps.
- Implement NLU validation frameworks for intent and entity extraction.
- Drive exploratory and usability testing to optimize user experience.
- Stay updated on advancements in QA for AI/ML and implement best practices.
- Mentor junior QA engineers and foster a culture of quality across teams.
- Work and collaborate in multi-disciplinary Agile teams, adopting Agile spirit, methodology and tools
Have you got what it takes?
- Degree in Computer Science or a related discipline (BE/BTech/MTech/MCA)
- 8-11 years of QA experience with a strong focus on AI/ML systems and applications.
- Expertise in testing APIs, webhooks, and integrations with CRM platforms.
- Advanced skills in test automation tools such as Selenium, TestNG, or similar.
- Strong understanding of LLMs and their applications in product workflows.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for QA.
- Familiarity with containerized deployments using Docker and Kubernetes.
- Hands-on experience with performance and stress testing tools like JMeter.
- Proficiency in CI/CD pipeline integrations for automated testing.
- Understanding of NLU validation techniques and conversational AI workflows.
- Proven ability to create and maintain robust knowledge graphs for testing.
- Strong analytical skills for debugging and identifying root causes of failures.
- Excellent collaboration skills to work across development and DevOps teams.
- Commitment to delivering high-quality, reliable software products.
- Familiarity with agile methodologies and tools like Jira or Azure DevOps.
- Passion for AI and the ability to stay ahead of industry trends.
- Effective mentorship and leadership abilities.
- Excellent spoken/written English. Self-driven with a strong sense of ownership
- Friendly disposition; work effectively as a team player
- Work as part of the development team towards the application. Adhere and contribute to software best engineering practices.
- Self-motivated and fast learner with a strong sense of ownership and drive
Bonus Experience:
- Experience with Jira
- Experience in Snowflake
- Experience with automation/testing tools
- Experience with/knowledge of agile development processes
- Experience as a technical or team lead or equivalent experience
- Experience in contact center domain
- Experience working in a CI/CD Environment
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID:
Reporting into: Tech Manager
Role Type: Individual Contributor
About NICE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Azure CI/CD Computer Science Conversational AI Copilot DevOps Docker Engineering GCP Google Cloud Jira Kubernetes LLMs Machine Learning NLU Pipelines Selenium Snowflake Testing
Perks/benefits: Career development
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