Strategy (Nasdaq: MSTR) is at the forefront of transforming organizations into intelligent enterprises through data-driven innovation. We don't just follow trends—we set them and drive change. As a market leader in enterprise analytics and AI software, we've pioneered the BI and analytics space, empowering people to make better decisions and revolutionizing how businesses operate. We are now also at the forefront of AI disruption, providing data via our enterprise semantic layer to AI agents, tools, and platforms.
But that's not all. Strategy is also leading a groundbreaking shift in digital assets, adopting bitcoin as our primary treasury reserve asset in 2020. Since then, we have issued innovative bitcoin-backed securities and have been the leader in bitcoin treasury companies. This visionary move has helped us build a fortress balance sheet, and is solidifying our position as a forward-thinking, innovative force in the market.
Our people are the core of our success. At Strategy, you'll join a team of smart, creative minds working on dynamic projects with cutting-edge technologies. We thrive on curiosity, innovation, and a relentless pursuit of excellence.
Our corporate values—bold, agile, engaged, impactful, and united—are the foundation of our culture. As we lead the charge into the new era of AI and financial innovation, we foster an environment where every employee's contributions are recognized and valued.
Join us and be part of an organization that lives and breathes innovation every day. At Strategy, you're not just another employee, you're a crucial part of a mission to push the boundaries of analytics and redefine financial investment.
Job DescriptionManager – Quality Engineering
Role Overview:
As a Quality Engineering Manager, you will lead a growing QA team to ensure quality of datacentric, AI-driven, and scalable cloud systems. You will define automation plans and provide guidance for BI test coverage strategy, backend validations, and continuous delivery.
Responsibilities:
• Lead QA delivery and test automation for cloud-native and AI-based platforms
• Define and implement BI data validation strategy across analytics layers
• Collaborate with product/data engineering on test coverage, data traceability, and reporting accuracy
• Drive CI/CD quality metrics, regression automation, and performance testing
Requirements:
• 12+ years in QA/test automation, with 3+ years in management
• Proven experience testing data-driven platforms, pipelines, and BI-related validation
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• Familiarity with cloud deployments and AI/ML pipelines
• Automation experience in Java/Python, Jenkins, Docker, Git
Preferred Qualifications:
• Working knowledge of Redis, Kafka, container orchestration
• Familiarity with test data management, test environments for batch/stream processing
Additional Information: This position requires applicants to work full time from Chennai office (Monday - Friday). Office hours will be from 10.30am to 7.30pm IST. The recruitment process includes online assessments as a first step - we send them via e-mail, please check also your SPAM folder
