Sr. Manager, Software Engineering

About the Role

Key Responsibilities

• 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 in an iterative way that frontloads business value.
• Oversee end-to-end integrations with the rapidly increasing list of Social Integration Platforms and have 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.
• Interact 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[s].
• 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.

Requirements

• 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 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.

Nice to Have

• 1+ Years of experience in Online Advertising technology.
• Expertise in dbt and BigQuery.