Software Engineer (Back End)

About the job

We’re creating innovative ad-tech solutions to optimize the ad monetization and experience. Our goal is to create a valuable experience for both buyers and sellers, while also driving performance through Ads. To that end, we are innovating rapidly in the ad-tech space and there is no shortage of new challenges for motivated individuals. As a backend engineer, you will work closely with designers, product managers and other engineers (frontend, backend, native, machine learning, quality) to redefine the advertising space and beyond.

Job Responsibilities:

• Design new experiences for sellers and advertisers to promote their products, manage their advertising campaigns, and run their businesses
• Build highly available, scalable RESTful APIs, and event driven systems
• Develop systems using Java / Scala, Spring, Javascript/Node JS
• Design and Implement scalable solutions and frameworks
• Learn new external and internal technologies as the need/opportunity arises
• Operate within our internal open source community where we share a variety of projects and codebases
• Build, test, and deploy your code in a continuous manner
• Execute as part of a multi-functional Agile team that rapidly delivers iterative value to customers
• Contribute to technical conversations and debates, and decide upon approaches and tools to utilize
• Lead by example and share the knowledge with the team

Job Requirements:

• BS/BA in Computer Science or related field plus 5 years work experience or MS with 3 years of relevant experience
• Experience with Java / J2EE or Scala, Oracle / NOSQL DBs, JSON, XML
• Nice to have: experience with Node JS, Javascript, HTML5, CSS3
• Experience working with distributed systems, experience with Streaming services like Kafka
• Experience with system design and ability to design complex systems.
• Experience building web applications and RESTful endpoints
• Experience working with frameworks such as Spring MVC
• Experience with event driven programming handling large volume of events
• Knowledge of core CS concepts such as common data structures and algorithms
• Code samples from private GitHub repos, side projects, and open source project contributions is a plus
• Candidates should be self motivated and willing to learn and contribute.