Senior Software Engineer, DoubleVerify

• 7+ years of experience in software engineering, with demonstrated success building, owning, and maintaining production systems that prioritize reliability, scalability, and performance
• Proven expertise in contract-driven design, API design, and semantic/serving layers built on top of a datalake or data warehouse
• Hands-on mastery with datalake and warehouse technologies: columnar formats (Parquet), query engines (DuckDB), object storage (S3-compatible), lakehouse table formats (e.g., Iceberg), and cloud warehouses (e.g., Snowflake)
• Fluency in at least one general-purpose language (we use Python and Go) and strong SQL, with the judgment to pick the right tool rather than a deep attachment to any one language
• Comfortable using AI as a primary tool (coding assistants, LLMs, and agents), and eager to build the contracts and interfaces that let AI systems operate on our data safely
• Proven track record in monitoring and observability, and a practical instinct for data quality
• Fluency with orchestration, containerization, and Kubernetes for scalable deployments
• Energized by working at the boundary between our data foundation and the products built on it, and by defining the interfaces that connect them
• Flexible and self-motivated, with a strong drive to see problems through to a solution
• Effective communicator, capable of clearly conveying complex technical concepts to non-technical stakeholders

Desirable

• As a Senior Software Engineer II at Rockerbox, you will take technical ownership of key components within the data platform that powers our products
• You'll drive execution across the foundation of our stack: from Kubernetes-based pipelines and aggregations, through our lakehouse, and into the semantic layer, ensuring data flows cleanly, reliably, and deterministically at scale
• Partnering closely with product and platform teams, you'll define the contracts that connect these layers and strengthen the reliability and observability of the platform end to end
• You'll also use modern AI to build efficiently and to a high standard, architecting systems that AI can build on
• If you enjoy putting the pieces together across the stack, bringing order to the boundaries between layers, and building resilient data infrastructure with modern technologies, this is the role for you
• Spearhead technical execution across the seam between our data foundation and semantic layer, ensuring data flows cleanly and reliably into downstream products and workflows
• Design and develop scalable solutions that enhance application functionality, data efficiency, and overall system performance
• Architect data endpoints using a semantic layer to transform source data into intuitive, optimized structures for consumption by our UI, CLIs, and AI agents
• Implement advanced monitoring, data-quality checks, and operational practices across pipelines to accelerate incident detection and resolution
• Operate as a senior generalist across the stack, taking full technical ownership of complex initiatives spanning both data infrastructure and application/API layers
• Partner closely with product managers and cross-functional stakeholders (Data, Applications, Data Science, Customer Success) to define requirements and deliver reliable, timely data