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