Senior Software Engineer II

Rockerbox with Double Verify empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerboxs solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.

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.

What You’ll Do

• 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.

Who You Are

• 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

Nice to Haves

• Strong observability and monitoring skills (OpenTelemetry, Prometheus, Grafana, Sentry).
• Experience scaling LLM-driven systems from prototype to production.

What Success Looks Like

• 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.

Skills

Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, Communication Skills, Cross-Functional, Data Management, Embedded Systems, Engineering, MCP - Microsoft Certified Professional, Machine Tool, Marketing, Mentoring, Operational Strategy, Production Systems, Professional Services, Programming Tools, Prototyping, Python Programming/Scripting Language, Snowflake Schema, Software Engineering, Traffic Shaping

About the Company:

DoubleVerify