Great visuals tell stories that touch hearts, open minds, and even influence what we buy, eat, and do. That’s why CrowdRiff exists : to connect brands and consumers alike with the captivating imagery that makes a real impact.
As a market leader in travel and tourism technology, we help get people excited to scuba dive in Tahiti, explore Napa’s wine country, and bungee jump in Queenstown.
CrowdRiff’s visual marketing platform helps marketers source, organize and publish visuals at scale.
Our team is a quirky and diverse crew that has one thing in common : our love for great visuals. Every day, we work across desks, departments and even oceans to reach our goals, and delight our customers.
If you’re passionate about helping everyone see what matters, you’re just our type.
Your Role :
We’re looking for a passionate developer to mentor and coach the back-end team at CrowdRiff. In this role, you will set the tone for a positive and supportive team culture and lead stand-
ups, team meetings and hold regular one-on-one meetings to give constructive feedback. In this role, alongside with being hands on and coding, you will develop professional growth plans with and for team members and encourage self-
reflection. You'll have the opportunity work, learn, and develop with an awesome and very agile team which includes a scrum master, CTO / Co-
Founder, and developers who are all invested in your success. The main tools you’ll work with are Go (experience with Go not specifically required-
we can help you learn that), RESTful services, and AWS.
Currently, we’re developing medium sized RESTful services in Go that use Postgres and Elasticsearch for storage and Redis via AWS Elasticache as the cache layer.
Our image processing pipeline uses AWS Kinesis as an event bus, AWS SQS as a managed queue as well as Google's Vision APIs to perform label detection on all photos and videos we ingest.
All projects can be built, tested and deployed with a single command. Continuous Integration is done using TravisCI and once all tests pass, projects are auto-
deployed to Test and Prod environments using AWS CodeDeploy.