Who are we

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track & analyze tens of billions of ads every day for the biggest brands in the world.

We operate at a massive scale, handling over 100B events per day & over 1M RPS at peak, we process events in real-time at low latencies (ms) & analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography & measure the viewability & users engagement throughout the ads lifecycle. 

We are global, with HQ in NYC & R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge scale environment & want to help us build products that have a huge impact on the industry, & the web - then your place is with us.

What you will do

You will work in a team of data & software engineers building our Authentic Attention products.

You will process 10s of billions of records a day using mainly Python & Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks & GCP managed solutions like Google Composer & many more.

You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand & optimize their ROI. This is a true big data product at a huge scale & high impact for our clients & the digital advertising industry as a whole.

You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring & availability.

What you need to have

• At least 5 years in Software Development
• At least 3 years experience coding in Python\Java\C#\Scala & a like
• At least 3 years experience working with relational databases
• At least 1 year of experience building ETLs or ELTs
• Good interpersonal & communication skills
• Passion for development with high quality & a sharp mind
• Good analytical skills & well versed with SQL
• Experience maintaining business-critical production systems

Nice to have

• Experience with Python 
• Experience with CI/CD pipeline, Docker & Kubernetes, public cloud providers
• Experience with Spark 
• Experience with non-relational DB
• Experience with streaming processing
• Experience with online advertising technologies