Sr. Engineering Lead

DoubleVerify; New York (NY); On-site; USD 131,000 - 260,000; Full time

Job summary

DoubleVerify in New York City is searching for a Senior Engineering Manager to guide the Social Engineering team in creating advanced integrations with major social platforms to enhance ad performance. You'll make crucial technical decisions to ensure the scalability and reliability of systems processing billions of transactions daily.

The ideal candidate will have extensive experience in distributed systems, strong programming skills in Python, and leadership abilities. Compensation includes a salary range of $131,000.00–$260,000.00 and additional benefits.

Qualifications

• 9+ years of programming experience using languages such as Python.
• 3+ years of hands-on experience working in big data systems using BigQuery and building data pipelines at scale.
• Experience in leadership roles with a focus on mentoring.

Responsibilities

• Lead a motivated team of engineers to develop large-scale services.
• Oversee integrations with Social Integration Platforms.
• Attract and onboard talented engineers in the Social Integrations team.

Skills

Programming in Python

SQL and data analysis

Leadership

BigQuery

Airflow

Docker

Kubernetes

CI/CD processes

Education

B.S./M.S. in Computer Science or related field

Tools

BigQuery

Docker

Kubernetes

Job description

Location: New York City (Hybrid, 3 days in office, TU-TH)

Position Overview

As a Senior Engineering Manager, you will lead the Social Engineering team responsible for new initiatives, designs, and builds deep integrations with the world’s biggest social platforms to measure ad performance. You will make technical choices that ensure industry‑leading scalability and reliability for mission‑critical systems that process billions of real‑time transactions a day. You will lead the team to accomplish ambitious visions and work directly with engineers from the largest internet companies to collaborate on API development.

What will you do?

• Lead a great team of motivated engineers and develop critical, large‑scale distributed services for DoubleVerify’s Social products.
• Consistently deliver large complex projects, services, and APIs that scale iteratively and frontload business value.
• Oversee end‑to‑end integrations with the rapidly increasing list of Social Integration Platforms and bring in‑depth knowledge of business strategies and DoubleVerify’s goals.
• Own major strategic initiatives that consistently and routinely push forward DV Engineering teams.
• Define processes and structures that enable the strong growth and execution of a diverse engineering organization.
• Contribute to architectural decisions with a focus on the product and business needs.
• Continuously explore the technical landscape of the Big Data ecosystem through analysis of various frameworks and technologies.
• Provide technical guidance and coaching to engineers through brainstorming sessions, design reviews, and pair‑programming.
• Internally and externally with executive‑level management, requiring negotiation of highly critical matters.
• Communicate technical concepts to business stakeholders as well as communicate business objectives to the technical team.
• Attract, interview, hire, and onboard talented engineers and team leaders to build a shared team of Data and Software Engineers in DoubleVerify’s Social Integrations team.
• Continuously optimize SDLC processes, including through the implementation of CI/CD.
• Operate production environments, investigate issues, assess their impact, and develop feasible solutions.
• Work in multi‑functional agile teams with end‑to‑end responsibility for product development and delivery.

Who are you?

• Lead by example – design, lead, and deliver quality solutions.
• Love what you do and are passionate about building and operating mission‑critical data‑intensive and distributed systems.
• Ability to architect and design complex software systems while adhering to fundamental principles and best practices.
• In‑depth understanding and hands‑on experience of distributed system technologies, standards, and protocols.
• Genuine desire to automate decision‑making, processes, and workflows.
• Experience with following and advocating state‑of‑the‑art SDLC processes.
• Fluent in SQL and data analysis.
• 9+ years of programming experience using languages such as Python.
• 3+ years of hands‑on experience working in big data systems using BigQuery, Airflow, and building data pipelines at scale.
• 3+ years of experience in leadership roles.
• Experience working with the DevOps domain – working with build servers, Docker, and container clusters (kubernetes).
• Experience in mentoring and growing a diverse team of talented data engineers.
• B.S./M.S. in Computer Science or a related field.
• Excellent communication skills and a team player.
• 1+ year of experience in Online Advertising technology (Preferred).
• Expertise in dbt and BigQuery (Preferred).

Compensation and Benefits

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 is $131,000.00–$260,000.00. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.