About Datadog:
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
The Team:
The Database Monitoring team is building a brand new Datadog product to monitor databases and data stores in depth. We are starting with relational databases and surfacing query level data like rows scanned, buffer vs disk reads, transaction locks, shared cache hits/misses, execution plans, live processlist, and many more. We partner closely with a small group of database-heavy customers to iterate quickly on the product in a startup-like environment. We aim to build an industry-leading product that our customers love.
The Opportunity:
Be a part of a team launching a new product from the ground up! As an engineer on the Database Monitoring team, you will be part of a fast-moving team working on hard product and distributed systems problems. In this role, you will wear many hats from writing optimized SQL queries in the Agent to building backend pipelines processing thousands of payloads per second. You will:
You Are:
Bonus Points:
Is this you? Let's chat!
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Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Your Privacy:
Datadog (NYSE: DDOG) is a prominent global SaaS provider that uniquely balances growth and profitability. It offers cloud-scale monitoring and security by combining metrics, traces, and logs within one platform.
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