About the company
Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions, requiring powerful algorithms—AI—to optimize their supply chain operations. Yet, most organizations struggle to leverage supply chain AI at scale. Traditional solutions present two flawed choices:
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Buying off-the-shelf point solutions, which are rigid and limited in scope.
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Building AI capabilities in-house, which demands immense investment and expertise.
That is—until now. (Cue dramatic music.)
Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds when companies weigh the decision to buy or build:
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Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more. (Buy)
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A platform-first approach that empowers both business and technical users with end-to-end composability—leveraging no-code tools, their own code, or even forking our code to build and refine decision intelligence. (Build)
With Lyric, enterprises no longer have to choose between flexibility and speed—they get both.
The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again.
Today, a growing number of Fortune 500 companies—including Smurfit WestRock, Estée Lauder, Coca-Cola, Nike, and more—are innovating on their own terms with Lyric. After an incredible 2024, we expect 2025 to be an even bigger rocket ship, and we can’t wait to see what our customers—both current and future—are empowered to build with us next.
Position Overview: As a Senior Data QA/SDET Engineer at Lyric, you will play a critical role in ensuring the quality and reliability of our core data products. You will be responsible for managing both manual and automation QA processes, with a strong focus on SQL and ETL testing. The ideal candidate will have a proven track record of designing, implementing, and executing comprehensive testing strategies for complex data systems.
Key Responsibilities:
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Develop and execute test plans, test cases, and test scripts for data validation and verification.
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Design and implement automated testing frameworks and tools to streamline QA processes.
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Conduct thorough SQL queries and ETL testing to validate data accuracy, completeness, and integrity.
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Collaborate with cross-functional teams to understand product requirements and ensure alignment with QA objectives.
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Identify, investigate, and document defects, and work closely with development teams to resolve issues.
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Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospective meetings.
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Mentor junior QA engineers and provide guidance on best practices for data testing and automation.
Qualifications:
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Bachelor's degree in Computer Science, Engineering, or related field.
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5+ years of experience in quality assurance and software development.
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Strong proficiency in SQL, with the ability to write complex queries for data validation and analysis.
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Hands-on experience with ETL testing tools and methodologies.
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Proven expertise in designing and implementing automation frameworks using industry-standard tools (e.g., Selenium, Appium, JUnit).
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Experience with version control systems such as Git.
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Excellent problem-solving skills and attention to detail.
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Strong communication and collaboration skills, with the ability to work effectively in a fast-paced environment.
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Experience working in an agile development environment is preferred.
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Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.
