Lyric
About Lyric
Why we built Lyric: supply chains are as critical & complex as ever → every day, large enterprises are faced with trillions of possibilities for their supply chain → powerful algorithms are required to optimize these supply chain decisions (i.e. AI) → large enterprises are unable to leverage supply chain AI at scale due to (a) the rigidity & limited scope of point solutions (“buy”) and (b) the immense investment required to develop in-house (“build”).......until now (cue dramatic music in the background)......
Enter Lyric: an enterprise AI platform for supply chains - when enterprises evaluate whether to buy or build decision-making engines for their supply chains, we provide the best of both worlds thanks to:
Our deep catalog of supply chain AI products that are available out-the-box to optimize networks, allocate inventory, schedule routes, plan fulfillment capacity, promise orders, propagate demand, build predictions, analyze scenarios, and much more (buy)
Our platform-first approach enables business & technical users end-to-end composability for supply chain decision science with no-code, their code, or even forking our code (build).
At Lyric we’re building a new era in supply chain, with the team best equipped to build it. We’ve been at the intersection of supply chain & algorithms for 20+ years, which led us to a deep conviction that global supply chains needed something like Lyric. We’re proud to say that since our inception in Dec. 2021, this conviction has now been validated many times over. This is thanks to our double-digit number of Fortune 500 Customers (Smurfit WestRock, Estee Lauder, Coca-Cola, Nike, and more) who are innovating on their own terms every day on Lyric. After an incredible 2024, we expect 2025 to be even more of a rocket ship, and we can’t wait to see what our current & future customers 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:
Develop and execute test plans, test cases, and test scripts for data validation and verification.
Design and implement automated testing frameworks and tools to streamline QA processes.
Conduct thorough SQL queries and ETL testing to validate data accuracy, completeness, and integrity.
Collaborate with cross-functional teams to understand product requirements and ensure alignment with QA objectives.
Identify, investigate, and document defects, and work closely with development teams to resolve issues.
Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospective meetings.
Mentor junior QA engineers and provide guidance on best practices for data testing and automation.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of experience in quality assurance and software development.
Strong proficiency in SQL, with the ability to write complex queries for data validation and analysis.
Hands-on experience with ETL testing tools and methodologies.
Proven expertise in designing and implementing automation frameworks using industry-standard tools (e.g., Selenium, Appium, JUnit).
Experience with version control systems such as Git.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced environment.
Experience working in an agile development environment is preferred.
Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.