About the Role:

We are looking for a Senior Software Engineer II to design & build the next generation of AI tooling & infrastructure. This role focuses on developing Model Context Protocol (MCP) integrations, & enabling workflow automation with tools like n8n. Youll be at the intersection of backend engineering, AI systems, & developer toolinghelping shape the foundation for our AI-first platform.

Responsibilities:

• Design, implement, & maintain MCP servers & connectors to integrate LLMs with internal & external systems.
• Extend & integrate n8n workflows (or equivalent orchestration tools) for automation of AI-powered tasks.
• Collaborate with product, data, & AI teams to deliver developer-facing tools & SDKs.
• Ensure security, observability, & reliability in AI-enabled services.
• Mentor other engineers & contribute to team-wide best practices in AI-first software engineering.
  
  

Qualifications:

• 58+ 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 & in Semantic data definitions (CubeJS etc)
• Proven experience designing & deploying APIs with strong contracts/interfaces.
• for orchestration.
• Knowledge of data pipelines (Snowflake, DuckDB, dbt, Kafka) & secure API integrations.
• Solid grounding in security practices: secrets management, data redaction, rate limiting
• Excellent communication skills & ability to work across cross-functional teams

Nice to Have:

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

What Success Looks Like:

• Within the first 3 months, youve shipped internal automation workflows in n8n (or similar) that remove manual processes & save engineering, professional services, or customer success teams time.
• By 6 months, youve built reliable APIs & MCP connectors that make it easy for LLMs to interface with internal systems.
• Youre recognized by peers as a go-to engineer for AI-powered automation, helping other teams design & implement their own integrations.
• Within a year, your tools are embedded in day-to-day workflows across the company, improving velocity, data access, & operational efficiency across engineering, professional services, & support teams.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, & benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!