Overview
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 can 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 with millisecond responses, IAS is the place for you.
Responsibilities
- Architect, design, build and integrate our core CTV measurement solutions
- Provide technical guidance and mentorship to engineering teams, influencing project direction and ensuring adherence to best practices
- Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation
- 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 to understand product requirements
- Manage multiple competing priorities in a fast-paced, collaborative environment
- Maintain and recommend software improvements to ensure responsiveness, efficiency, strong functionality, and optimization
- Help set the Technical Vision for the team, identify and solve complex technical problems
Qualifications
- A degree in Software Engineering, or related STEM degree
- 8+ years of hands-on full-stack programming experience using JavaScript and Java or Golang, with a deep understanding of core principles
- Experience with web debugging using Chrome Dev Tools or similar browser debugging tools
- Experience with AWS tech stack (including EMR, Athena, EKS)
- Experience with big-data technologies (e.g., Spark/Hadoop, Kafka, Aerospike, DynamoDB)
- Expert knowledge of multi-threading, memory models, etc.
- Experience with CI/CD tools such as Jenkins, Graphite, Grafana and Docker
- Clear communication to technical and non-technical audiences
- Experience in Agile methodologies (Scrum and Kanban)
- Strong understanding of designing for performance, scalability, and reliability
- Experience in AWS or other cloud technologies
- Excellent interpersonal and communication skills; experience in AdTech, specifically CTV
- Knowledge of HTTP Live Streaming, audio or video distribution platforms, HTTPS, HLS and/or DASH
- Experience building software used in delivery and distribution of audio or video across multiple platforms
- Experience with distributed services using Docker containers and Kubernetes
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 advertisers, publishers, and media platforms. For more information, visit integralads.com.