Waldo Photos · May 13th 2019
Headquarters: Austin, Texas URL:About Waldo
At Waldo, it is our mission to help our users “Live the Moment”. Backed by market leading AI based algorithms, we deliver families their most valued memories, captured by others, right to their phones. Waldo Photos is a photo finding platform utilizing facial and object recognition to empower people to toss their selfie sticks, put their phones back in their pockets and live in the moment. Waldo is the only platform that removes all of the friction in delivering photos of friends and loved ones taken by others and creates new opportunities for photographers to market and sell their photos.
Why Work for Waldo?
Waldo is in rapid growth mode--adding users, increasing revenue, expanding into existing markets, and making entries into new verticals! To meet that growth we are looking to double our development team in the coming year. We want teammates who want to be empowered to take ownership over the technology and features that drive Waldo-- and to see their impact to the team and our users directly on a daily basis.
What You’ll Do:
As a Senior Software Engineer for the platform team, you will be critically responsible for the core server platform which provides the backbone for the product. On any given day you will:
About the Dev Team
We are a tight-knit, fully-remote development team spanning the world. Every member is critical to our mission and success and can draw a direct line to their everyday work and elevating the Waldo product. We are looking for independent problem-solvers who value learning, enjoy keeping current on technology trends, and crave the ownership, autonomy and accountability that is expected from early-stage team members. This is a perfect opportunity for you if you:
While we're based in Austin, Texas we have team members across the globe. We are in need of a full-time commitment but open to remote, international, or contract arrangements.REQUIREMENTS
Previous remote working experience or equivalent self directed experience
Experience within a DevOps culture and prior responsibility over a live, deployed system.
Experience operating and troubleshooting a live distributed system through logs, metrics, tracing, etc.
Experience with docker and/or Kubernetes.
Experience with continuous delivery practices and patterns.
Experience with varied data stores such as Postgres, Cassandra, Redis.
Experience with AWS or equivalent cloud platform.
Experience with cloud-native application development, tools and patterns.
Experience with distributed message based architectures and systems and associated messaging tools such as Kafka or RabbitMQ.
Experience / strong interest in design and application of machine learning based algorithms.
Experience with GraphQL.
Experience / comfortable with full stack development.