Staff Software Engineer- Fullstack

We are currently looking for a Staff Software Engineer to join our team. As a Staff Software Engineer, you will provide technical leadership and expertise to help build ad verification, analytics, and anti-ad fraud solutions that deliver on the team's mission of helping advertisers understand the quality of the ad opportunities they're acquiring. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second, collect tens of billions of events each day, and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you! The ideal candidate has a track record of architecting and building end-to-end software solutions, enjoys working in a collaborative and agile environment, and brings innovative solutions to complex problems with a desire to improve the status quo. What you'll do:

• Architect, design, build and integrate our core CTV measurement solutions
• Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation, in addition to mentoring the team
• Collaborate cross functionally with Product, Software Engineers, and Data Engineers to design, code, and maintain components for aggregating tens of billions of daily transactions
• Partner with the Product team and other stakeholders across the company to understand product requirements, gather business and technical requirements from broadcaster clients, and research and develop solutions, including API development
• Manage multiple competing priorities in a fast-paced, exciting, collaborative environment
• Maintain, and recommend software improvements to ensure responsiveness, efficiency, strong functionality, and optimization
  
  A degree in Software Engineering, or related STEM degree
• 7+ years of hands-on full-stack programming experience using Java, Javascript, Scala/Python
• Experience working with big-data stack, including (but not limited to) spark /hadoop, kafka, Aerospike / Dynamodb
• Experience with AWS tech stack, including but not limited to EMR, Athena, EKS,
• Expert knowledge of multi-threading, memory model, etc.
• Understanding of database fundamentals and MySQL knowledge
• Experience wit CICD tools such as Jenkins, Graphite, Grafana and Docker
• Knowledge of HTTP live streaming, audio or video distribution platforms, HTTPS, HLS and/or DASH protocols
• Experience building software used in the delivery and distribution of audio or video across multiple platforms
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Experience in Agile methodologies including Scrum and Kanban
• Great understanding of designing for performance, scalability, and reliability
• Experience in AWS or other cloud technologies
• Excellent interpersonal and communication skills
What puts you over the top:
• Experience in data processing solutions using Big Data, Databricks
• Experience with web debugging using Chrome Dev Tools or similar browser debugging tools
• Experience in cloud systems preferably AWS. Distributed distributed services - docker containers, kubernetes,
• Knowledge of Python, Scala, or Golang.
• Familiarity with TDD, BDD, and associated testing frameworks
• Experience with managing, leading and/or mentoring a development team
• Experience working with audio or video technology, specifically CTV
• Experience in AdTech
About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.