Remote - India /
Technology /
Employee: Full Time - Remote
Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!
B2B Marketers have relied on Dun & Bradstreet and the D-U-N-S Number to target business buyers with confidence via email and phone, and soon will have the ability to target customers across digital channels with the same level of confidence and precision, enabling them to use marketing dollars more efficiently and effectively to reach and engage their buyers. The recent acquisitions of Eyeota and Netwise into our Audience Solutions organization have strengthened this vision.
Eyeota, a subsidiary of Dun & Bradstreet, is a global audience technology platform. Brands, publishers and data owners leverage Eyeota to onboard, enrich and activate their data assets as scalable audience solutions across global markets and digital channels. Empowering enterprises with future-proof data capabilities, Eyeota's B2B and B2C audience solutions are flexible and interoperable across all major platforms and identifiers. Eyeota operates in Europe, Asia, Australia and the Americas, powering data solutions in 188 countries.
Eyeota is looking for an experienced DevOps engineer to join our team in Singapore and be instrumental in taking our products to the next level. In this role, you will be working on bleeding edge hybrid cloud/on-premise infrastructure handing billions of events and terabytes of data a day. You will be responsible for working closely with various engineering teams to design, build, and maintain a globally distributed infrastructure footprint. As part of the role, you will be responsible for researching new technologies, managing a large fleet of active services and their underlying servers, automating the deployment, monitoring and scaling of components, and optimizing the infrastructure for cost and performance.
Day-to-day responsibilities
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