Senior Software Engineer, DoubleVerify

• 5–8+ years of professional software engineering experience
• Hands-on experience with MCP (Model Context Protocol) or similar AI-agent frameworks
• Familiarity with n8n, Langchain or similar
• Strong expertise in Python and in Semantic data definitions (CubeJS etc)
• Proven experience designing and deploying APIs with strong contracts/interfaces
• For orchestration
• Knowledge of data pipelines (Snowflake, DuckDB, dbt, Kafka) and secure API integrations
• Solid grounding in security practices: secrets management, data redaction, rate limiting
• Excellent communication skills and ability to work across cross-functional teams

Desirable

• We are looking for a Senior Software Engineer II to design and build the next generation of AI tooling and infrastructure
• This role focuses on developing Model Context Protocol (MCP) integrations, and enabling workflow automation with tools like n8n
• You’ll be at the intersection of backend engineering, AI systems, and developer tooling—helping shape the foundation for our AI-first platform
• Design, implement, and maintain MCP servers and connectors to integrate LLMs with internal and external systems
• Extend and integrate n8n workflows (or equivalent orchestration tools) for automation of AI-powered tasks
• Collaborate with product, data, and AI teams to deliver developer-facing tools and SDKs
• Ensure security, observability, and reliability in AI-enabled services
• Mentor other engineers and contribute to team-wide best practices in AI-first software engineering
• Within the first 3 months, you’ve shipped internal automation workflows in n8n (or similar) that remove manual processes and save engineering, professional services, or customer success teams time
• By 6 months, you’ve built reliable APIs and MCP connectors that make it easy for LLMs to interface with internal systems
• You’re recognized by peers as a go-to engineer for AI-powered automation, helping other teams design and implement their own integrations
• Within a year, your tools are embedded in day-to-day workflows across the company, improving velocity, data access, and operational efficiency across engineering, professional services, and support teams