Software Developer (All Levels)

At the Intersection of Connecting Cars to Smarter Cities For over 10 years, our business has been traffic.

- A cutting-edge stack that combines open source and custom code to create a high-end traffic data and services platform serving millions of customers - Practical experience in working in a fast paced “start-up like” environment with high performing teams - Be part of a team where fun, smart, passionate, ambitious engineers are focused on delivering complex data and services that must be delivered with extremely low latency - A fast–growing global company where you’ll be challenged (required) to think about things that no one has thought of yet - A position where you’re an important voice in development, not one of many - Design, implement, and deploy large scale distributed applications and web services - Solve complex problems to develop software to drive the most valuable and accurate results to our customers

- Senior, Mid-Level, and Junior Software Developers -- experience with software development, architecture and deign, enjoys creating exciting products through hands-on coding - Experience in designing, implementing and deploying large-scale distributed applications and web services - Experience maintaining and extending applications and services through their lifetime - Experience in developing in Java on enterprise platforms (C# equivalent experience accepted) - Solid understand of graph algorithms - Demonstrated strong technical judgment in conjunction with passionate customer-focus - Be collaborative, have a strong work ethic, be reliable and a self-starter - Bachelor’s or advanced degree in computer science, mathematics, or related discipline - Strong experience in open source stacks and some experience in MSFT stack - Working knowledge in probability, statistics and analytics, GIS/LBS concepts highly desired - Experience delivering and operating SaaS product offerings in an iterative, agile software lifecycle in AWS or Azure - Experience in Big Data architectures, NoSQL DB’s, Hadoop/HDFS/map/reduce, real time streaming analytics, visualization, or other technologies in the Big Data Analytics stack