Location: Soho, Manhattan, NYC

3 times a week, hybrid

About DoubleVerify 

DoubleVerify  (DV), (NYSE: DV) is a big data & analytics company. We measure & analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, & most of the Fortune 500 companies. If you ever saw an Ad online via Web, Mobile or CTV device then there are big chances that it was analyzed & measured by us.

We operate at a massive scale, our backend handles over 100B+ events per day, we analyze & process those events in real-time while making decisions on the environment where the ad is running & all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo & highly likely to be viewed & engaged, all that in less than a fraction of second.

We are global, we have R&D centers in Finland, Tel Aviv, New York, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to solve big data challenges to power client-facing products & solutions & want to help us build a better industry then your place is with us.

Learn more at www.doubleverify.com

As a Staff Software Engineer, youll own new initiatives, designs, & the development of critical pieces of application code powering our new suite of social tools. Youll ensure industry-leading scalability, reliability, & security of distributed processes & services for these applications. Additionally, youll apply state of the art technologies, frameworks, & strategies to address complex challenges with moving information from big data systems to the hands of our customers. 

Responsibilities

- Provide both ownership & technical leadership on high-impact projects

- Influence & mentor a distributed team of engineers

- Facilitate alignment & clarity across teams on goals, outcomes, & timelines

- Manage project priorities, deadlines, & deliverables

- Design, develop, test, deploy, maintain, & enhance large scale software solutions that power our products

About You

- Minimum 7-8 years of experience developing server-side software, with a strong focus on data modeling, & complex service-based systems

- A strong desire to help create scalable & user-friendly consumer-facing products

- A proven track record of designing & implementing large-scale, distributed systems

- Strong knowledge of SQL, preferably with BigQuery experience

- Expertise in data modelling & database design

- Experience in working with very large sets of data

- Experience with event-driven architectures & message queuing systems

- Familiarity with DevOps practices & CI/CD pipelines

- Displaying a test-driven & metrics-based approach to development & design with a desire to find & correct issues before user discovery 

- Understanding of security best practices in software design

- Hands-on familiarity with Python & Python-centric frameworks (PySpark, Django, FastAPI, Flask)

- Strong communication skills & ability to explain complex technical concepts to both technical & non-technical audiences

- Experience mentoring & leading development teams

Additional Preferred Attributes

- Familiarity with the Google Cloud Platform & BigQuery in particular

- Experience with container technologies such Docker / Kubernetes

- Experience with event streaming platforms such as Kafka

- Knowledge of ad serving technologies & standards

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$118,000 - $235,000]. This role will also be eligible for bonus/commission (as applicable), equity, & benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!