Sr Software Development Engineer II - Data Viz at Audible (Cambridge, MA)

Your team is Audible Risk Management Systems. This team's mission is to maintain customers' well deserved trust and protect Audible's business from bad intent. Projects include:
· Real-time and forensic data analytics (Machine Learning, Data Viz, etc.) to identify suspicious activity.
· Mitigating and resolving macro Fraud/Abuse issues.
· Partnering with teams across Audible and Amazon to design systems that limit Fraud/Abuse.
We're looking for people who can think big and help guide the team to best protect our customers. If this is you, please apply!

KEY RESPONSIBILITIES
· Lead significant technical initiatives involving cross-functional teams.
· Coach and mentor our high-performing engineers to help them grow their skills, enhance their knowledge of our systems and their ability to get things done.
· Partner with cross-functional teams to imagine, design, develop, test, and launch software that wows our community and inspires our peers.
· Constantly strive to raise the bar on delivery performance and quality in a fast agile environment.
· Interpret data, analyze results using statistical techniques and provide summary to the team and other stake holders.

BASIC QUALIFICATIONS

· Experience working with Java, C++, C# or some other object-oriented language writing services that scale using HTTP, REST, JSON, and XML.
· Familiar with Unix/Linux and know how to write optimized, low-latency code.
· Passion for data (and fearlessness in the face of a data tsunami), coding, modeling, research design and cutting-edges algorithms.
· You love solving problems, are willing to accept any challenge, are adaptable, always trying to make things better, and willing to take ownership over problems and opportunities alike.
· You are looking for a team that embraces unit testing, code reviews, CI and other effective Agile practices.
· You are not afraid to make mistakes.
· You're a great communicator, either written or spoken, and preferably both.

PREFERRED QUALIFICATIONS

· Experience with React, HTTP/2, Serverless, Microservices, and cross-platform development.
· Prior use of AWS technologies at scale in a production environment.
· Working knowledge of Machine Learning techniques a plus.
· Strong problem solving skills, adaptable, proactive and willing to take ownership.

Audible is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age

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