Staff Software Engineer, Data Backend

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We are seeking a talented Staff Software Engineer to join our dynamic data engineering Team. We are in search of individuals who have extensive experience in large scale data systems. In this role, you'll be instrumental in owning these systems, designing, developing and setting the vision of offline and online computing. Your work will have a major impact on several areas of the business.

We are looking for experienced candidates who are self starters and have a proven track record of delivering major projects that can solve critical business needs. The candidate should be able to dive deep into any problem areas with lots of ambiguity and build a technical solution to solve it. They should be willing to take complete ownership of a charter or a system and be able to set a vision for it.

Responsibilities:

• Own, lead and set the vision for one or more large scale offline and online compute systems
• Work with data engineers, data scientists, ML engineers and software engineers from other orgs to understand their requirements, build solutions and enforce best practices
• Innovate how ETLs, online, and offline compute should work.
• Set high standards, mentor and coach other engineers on the team

Experience:

• 9+ years of experience working with open source systems like Hive, Spark, Presto etc.
• 7+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
• Expertise in configuring, optimizing and debugging large scale compute clusters
• Possess a strong understanding of the latest data technologies and has the ability to bring in cross-industry partnerships and knowledge into the team
• Strong proficiency in working with Kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Excellent communication skills and ability to collaborate with teams across various orgs
• Experience working with kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with a cloud-based environments such as AWS/GCP/Azure

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