> Markdown version of [/jobs/ext/2706971-software-engineer-ii](https://www.wearedevelopers.com/jobs/ext/2706971-software-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - **Company:** DV RENTS, LLC - **Location:** New York, United States - **Experience:** Expert - **Salary:** $107,000.0 - $193,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon S3, Customer Data Management, Data Infrastructure, Data Warehousing, Monitoring of Systems, Python (Programming Language), Prometheus, Standard Sql, Software Engineering, Data Streaming, Parquet, Datadog, Large Language Models, Snowflake, Grafana, Containerization, Kubernetes, Api Design - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/sr-software-engineer-ii-rockerbox-doubleverify-7162876 ## About the Role * 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. Nice to Have * Experience with observability tooling (Prometheus, Grafana, OpenTelemetry) and data-quality frameworks. * Familiarity with marketing analytics, MTA, MMM, testing, or customer data platforms. The successful candidate's starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. ## Description * 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. ## Related Videos - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [How Much Does a Software Engineer Make? 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