So, you are considered a domain expert in all things big-data technologies; You design and build pipelines, services, APIs and systems that process data at scale leveraging lambda principles; You understand, at the fundamental level, the balance and trade offs between different data models and algorithms, and are able to use the most suitable models and technologies for different query and storage requirements. You build advanced data systems that are performant, reliable and easy to maintain.We are dying to talk to you! We are looking for people who can build analytic and machine learning systems at large scale; Who can build fast changing web apps, big data infrastructures, real time APIs and manage a lot of traffic; Who are not only keeping up with the latest, coolest technology but also understand what it takes to keep production system running and continuously evolving; Who obsess with clean and elegant solutions but do not over engineer; Who love to stand on the shoulders of giants to solve new problems and thrive in a rapidly innovating space. You will not only work with the latest and the coolest big data technologies such as Apache Spark and Hadoop, distributed databases like AWS Redshift, DynamoDB, and Cassandra to implement most sophisticated machine learning algorithms, but also have one of the largest AWS deployment at your disposal to solve challenging big data problems that drive revenue for some of the biggest companies in the world.Your Role

• 10+ years of industry experience designing, developing and shipping high quality scalable software or services for Senior Engineers (LMTS)
• Design and build data processing, data mining and machine learning systems that run at scale.
• Build fast changing web apps, big data infrastructures, and real time APIs managing a high traffic.
• Provide thought leadership in technologies and system architecture and drive innovation.
• Lead by example, mentor and provide technical guidance to junior members of the team.
• Contribute to Open Source solutions and communities we use wherever you can.
• Work with product manager to help shape data science products and offerings and offer technical inputs.

• Understand the fundamentals of computer science including programming principles, design patterns, databases fundamentals, and distributed systems.
• Understanding of how to build machine learning systems and the data science life cycle
• Obsess with clean and elegant solutions but do not over engineer.
• Ability to multi-task, and can quickly switch context and be able to work on multiple projects.
• Make things work and get things done.
• Like working and being part of an interdisciplinary team.
• Familiar with many programming languages preferably Scala, Java or Python.
• Expert in “big data” technologies such as Spark, Kafka, Cassandra, etc.