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Cloud Infrastructure Engineer

 About Bridgewater     Bridgewater Associates is focused on understanding how the world works. By having the deepest possible understanding of the global economy and financial markets, and translating that understanding into great portfolios and strategic partnerships with institutional clients, we've built a distinct track record of success. We've done this for more than 40 years by having great people operate in a culture of radical truth and radical transparency. Today, we manage about $160 billion for approximately 350 of the largest and most sophisticated global institutional clients including public and corporate pension funds, university endowments, charitable foundations, supranational agencies, sovereign wealth funds, and central banks. Department Name     Core Management Department Summary     While every department at Bridgewater has embedded management teams, there is also a Core Management Department that ensures our culture is pervasive and is codified into tools that allows for our way of being to be systemized. The Systemized Intelligence Lab is a group within Core Management dedicated to developing software for Bridgewater and enterprises external to the firm. Our mission is to bring idea meritocracies to the world, in other words, organizations in which the best ideas win. Humans are naturally and historically poor at decision making, and the costs are high: opportunities squandered, businesses wrecked, people hurt.  Why? Human ego, frailty, and bias. The idea meritocracy exists to help people get what they want out of life. Our team has set out to systemize a better way for people to work together, to build strong and vibrant communities, and ultimately to achieve world class results. We equip people with the ability to understand one another, thoughtfully disagree, stress test ideas, and compound knowledge through objective decision making. Position Summary      Dave Ferrucci, the creator of IBM's Watson and founder of Elemental Cognition, has joined forces with Ray Dalio, founder of the largest and most successful hedge fund in history and author of New York Times #1 bestseller, Principles. Together, they lead a multidisciplinary team of engineers, scientists, and artists creating a platform that combines the best qualities of intelligent systems and intelligent humans. By collecting streams of real time experimental and observational data from a large and ever-growing number of sources, we construct and fit statistical, machine learning, and optimization models of people and of work. In a collegial atmosphere we debate modeling of human character, and what is the best ontology to represent it. We ask ourselves questions like: how do we know what people are like? Who is best for a given job? How can we work, together, better, more effectively? And, since we aspire to help people all over the world, we engineer for scale--a suite of applications built atop a forward thinking scalable and distributed architecture, to sustain a beautiful user experience within a rich ecosystem.   Responsibilities          Write code and scripts leveraged by developers, infra engineers and system components     Leverage open source tech and tools to build a high-availability, container-based platform     Partner with dev team to deploy new services based on user stories and technical requirements     Engineer CICD workflows used for automated testing, rapid deployment, and quality control     Maintain, debug, and enhance growing ecosystem Position Requirements          Extensive experience leveraging cloud platforms (Ideally AWS)     Deep understanding of various Linux OS's (Debian / Container Linux / Atomic Host)     Familiar with container technologies such as Docker, Kubernetes (etcd & dex), Helm.     Configuration management experience (Terraform, kube-aws, Chef, Ignition)     Admin experience with any of the following technologies: Kafka, Zookeeper, Consul, Vault, Apache Ignite, Apache Spark, Quay, Redis, Elastic Search, PostgreSQL, Datomic, HAProxy & Nginx     Expertise in software development using Go, Java, Scala, Ruby, or Python 6562BR
Salary Range: NA
Minimum Qualification
Not Specified years

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