DoubleVerify is seeking a Senior Software Engineer II (Data) to join their Programmatic software development team. This role is critical in enhancing DoubleVerify's programmatic and platform products, working on mission-critical systems that process billions of real-time transactions daily. The ideal candidate will have strong experience in Python, data platforms, and building large distributed backend systems.
Key Responsibilities:
- Develop critical, large-scale, distributed services for DoubleVerify's Programmatic and Platform products with strict SLAs
- Collaborate with other engineers, review code, design, and other artifacts
- Work closely with the Product team to understand requirements and deliver high-quality solutions
- Write high-performance code for services supporting high throughput and low latency
- Design, develop, and test new features and improve existing systems
Required Qualifications:
- 5+ years of software development experience
- 1+ years of experience as a Sr. Software Engineer
- Strong experience with Python
- Experience working with data platforms such as BigQuery or Snowflake
- Excellent SQL skills
- Experience in building large distributed backend systems
- Experience in building highly resilient, scalable REST-based services
Preferred Qualifications:
- Familiarity with Java (1.8+)
- Experience with Kubernetes and/or Docker and CI/CD deployment pipelines
- Familiarity with stream processing of large datasets and technologies like Kafka
- Experience working in Ad Tech industry
- BS, MS, or PhD in Computer Science or related technical field
The role offers a competitive salary range of $102,000 - $202,000, along with bonus/commission eligibility, equity, and benefits. DoubleVerify values diversity and encourages applications from candidates who may not meet every qualification but are excited about the role.
Working at DoubleVerify means joining a team that's dedicated to providing media transparency and accountability, helping build a better industry since 2008. The company culture emphasizes collaboration, innovation, and making data-driven decisions.