DoubleVerify · New York
Software Engineering
DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party 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, agencies, publishers, and digital ad platforms. 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.
We are seeking an experienced software engineer to join our talented full-stack settings team responsible for enabling clients to successfully activate and operate DoubleVerify’s rich suite of products. You’ll develop scalable and reliable backend services fueling DV's client-facing user interfaces and operational processes. We are a tech company at heart, addressing complex challenges and innovating to use the best technology and practices for the task at hand on a daily basis. The team is a cross-company focal point and user experience oriented, and as such you’ll be closely coordinating and working with multiple development, product, and client services teams.
Design and develop services that integrate with internal and external systems.
Closely collaborate with product managers on establishing requirements, and establish technical requirements with partnering engineering and architecture teams.
Research new technologies and adapt them within the systems.
Test and optimize code developed both by you and by other team members.
Continuously release features using automated deployment tools and framework through Infra-As-Code.
Work in a fast-paced, agile environment, collaborating with team members and Product Managers on a daily basis and participating in product meetings.
Implement application observability to enhance code integrity and support throughout the development and release processes.
Provide code reviews and system design for senior team members
Investigate system issues, debug, and resolve production incidents
You have at least 6 years of backend software engineering experience with either C#, Java, python, or a similar language.
You are familiar with all aspects of SDLC; you know what the best practices are and follow them in your work.
You provide mentoring to experienced mid-level engineers.
You collaborate with non-technical stakeholders.
You collaborate with cross-departmental engineering teams.
You are experienced with Infrastructure as Code (IaC) and CI/CD ( e.g. Gitlab CI/CD, terraform, vault) focused on automating deployments and optimizing processes.
Strong experience with both relational and non-relational databases ( e.g. MongoDb, MS SQLServer)
Strong experience with containerization (Docker/k8s) and Kafka.
Familiarity with the AdTech industry is not required, but is a big plus.
This position is full-time and located in our New York City headquarters offices offering a hybrid work model from office and remote.
The successful candidate’s starting salary will be determined by a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and 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 $107,000 $212,000. 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!