DialogTech provides the leading AI-driven conversation intelligence platform for marketers at businesses that value inbound phone calls. When consumers call, DialogTech turns those conversations into actionable insights businesses use to improve marketing ROI, increase sales conversions, and deliver more personalized customer experiences, both online and over the phone. Recognized as the leader and pioneer in call analytics since 2007, DialogTech is the trusted conversation intelligence platform for many of the world's most successful brands and agencies.

DialogTech's Attribution team codes the glue that ties your web experience to your phone experience and then channels this data into tools that allow our clients to better understand their customer's experience. The process is called "attribution" and we accomplish this by creating and consuming APIs that gather and merge large volumes of data from many systems and then make this data available to our clients in reports, APIs, and GUIs.

Our technology stack is deeply diverse – In addition to a variety of 3rd party APIs, it includes an assortment of programming languages and AWS products. Most of our new projects are being written in Node.js and we have repositories with Node.js, PHP, and Python. As a member of the attribution team, you'd be encouraged and enabled to stay abreast of current technology trends and to use that research to contribute to the industry's leading product.

Where you fit in:

You will be working with our attribution team as a back-end engineer to help expand our core call tracking product, SourceTrak.
The Attribution team works with various tools and services in AWS including RDS MySQL, DynamoDB, EC2, Lambda, Kinesis, and SQS.
Integrate with technologies from key partners including Google, Adobe, Salesforce, Microsoft, and Amazon while building new products.

Ideal Experience:

Passionate and curious about technology -- researches trends, advocates best practices, and finds applications of new technology to customer needs
5+ years of experience developing with modern languages, preferably several different languages. In use today: Node.js, Python, PHP, JavaScript
Knowledge of the following AWS services would be preferred but not required: Lambda, EC2, DynamoDB, SQS, CloudWatch
Collaborated with teams doing lean software development, agile software development, and/or continuous deployment practices
Familiarity with several data storage engines including DynamoDB, SQL, NoSQL, Elastic, Redis and the contexts in which they are appropriate
Working understanding of API design including building and consuming 3rd party APIs. Experience with any of the following: Google Adwords, Adobe Analytics, Marin, Double Click, Adobe Media
Optimizer, Optimizely, Hubspot, and Convertro is a plus.
Experience with a wide variety of enterprise application integration patterns, their tradeoffs and proper contexts for use

Join us at one of the 101 Best and Brightest Places to Work in Chicago and nationally, 11 times running, Chicago Tribune's Top 100 Workplaces company and a 2017 Crain's Fast 50 company!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Summary
DialogTech
Senior Software Engineer at DialogTech () (allows remote)

Tags: node.js, aws, php, python, javascript