Who We Are:

DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, publishers and digital ad platforms. DV’s technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Position Overview 

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

Responsibilities:

Provide both ownership and technical leadership on high-impact projects Influence and mentor a distributed team of engineers Facilitate alignment and clarity across teams on goals, outcomes, and timelines Manage project priorities, deadlines, and deliverables Design, develop, test, deploy, maintain, and enhance large scale software solutions that power our products

Who you are:

Minimum 7-8 years of experience developing server-side software, with a strong focus on API design, data modeling, and complex service-based systems A strong desire to help create scalable and user-friendly consumer-facing products A proven track record of designing and implementing large-scale, distributed systems Strong knowledge and hands-on experience with REST API design principles and best practices Expertise in data modeling and database design Experience with event-driven architectures and message queuing systems Familiarity with DevOps practices and CI/CD pipelines Displaying a test-driven and metrics-based approach to development and design with a desire to find and correct issues before user discovery  Understanding of security best practices in software design Hands-on familiarity with Python and Python-centric frameworks (Django, FastAPI, Flask) Strong communication skills and ability to explain complex technical concepts to both technical and non-technical audiences Experience mentoring and leading development teams

Responsibilities:

Provide both ownership and technical leadership on high-impact projects Influence and mentor a distributed team of engineers Facilitate alignment and clarity across teams on goals, outcomes, and timelines Manage project priorities, deadlines, and deliverables Design, develop, test, deploy, maintain, and enhance large scale software solutions that power our products

Additional Preferred Attributes

Familiarity with the Google Cloud Platform and BigQuery in particular Experience with container technologies such Docker / Kubernetes Experience with event streaming platforms such as Kafka Knowledge of ad serving technologies and standards 

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and 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 [$118,000.00 - $230,000.00]. This role will also be eligible for bonus/commission (as applicable), equity, and 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, and 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 and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!