Staff Software Engineer

DoubleVerify•New York, NY

9d•$131,000 - $260,000

About The Position

The Staff Software Engineer will join and lead DV’s Programmatic software development team and will use industry standards and latest technologies to enhance our programmatic and platform products. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of real-time transactions a day. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics.

Requirements

10+ years of programming experience in software engineering, 5+ years of experience in data engineering
Strong proficiency in both Java and Python, with the ability to operate fluently in either language across production codebases
Deep understanding of big data technologies, standards, and protocols, and 5+ years of experience working with big data platforms like Snowflake, BigQuery, Databricks, Airflow, dbt, Spark, Pub/Sub ecosystem (Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale
Excellent knowledge in SQL query and data modeling
Familiar with AI coding tools and best practices in leveraging AI in SDLC
Experience with Google Cloud Platform
Experience with DevOps domain — working with build servers, Docker, and container clusters (Kubernetes)
Full-stack development experience — building backend API services (e.g., REST/gRPC) and working with a modern frontend framework (e.g., React, Vue, or Angular)
Experience with agile software processes, data-driven development, reliability, and responsible experimentation
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
Lead by example — design, develop, and deliver quality solutions

Nice To Haves

Experience with ad-serving technologies and standards is a plus

Responsibilities

Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads
Set technical direction and influence across teams to align data platform investments with broader engineering and product strategy
Provide meaningful and relevant feedback to junior developers and stay up-to-date with system changes
Drive adoption of AI coding tools and AI-assisted workflows across the team to improve day-to-day developer productivity and SDLC efficiency
Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features
Design, develop, and test data-driven products, features, and APIs that scale
Continuously improve the quality of deliverables and SDLC processes
Operate production environments, investigate issues, assess their impact, and develop feasible solutions
Understand business needs and work with product owners to establish priorities
Bridge the gap between Business / Product requirements and technical details
Work in multi-functional agile teams with end-to-end responsibility for product development and delivery