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Principal Software Engineer 6 - (Backend & Agentic Execution Platform)

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Comcast Advertising

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Location:
United States , Chicago ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

180337.97 - 277420.95 USD / Year
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Job Description:

FreeWheel’s Programmatic Demand team is looking for a Principal Engineer to help define and build the next evolution of our DSP-as-a-service platform that powers FreeWheel DSP, FreeWheel Buyer Cloud, and products like Universal Ads. Over the next 3–5 years, backend and platform engineering in ad tech will be reshaped by: Agentic software that can reason over business context, execute workflows, and safely interact with production systems. Model Context Protocol (MCP) and tool-based architectures that standardize how services expose capabilities to agents. New expectations around observability, governance, safety, and cost controls for AI-driven systems. This role is for a hands-on principal engineer who can set technical direction, deliver core systems, and establish the patterns we will reuse across Buyer Cloud and our broader Demand platform as we build and deploy our first MCP server.

Job Responsibility:

  • Collaborates with project stakeholders to identify product and technical requirements
  • Designs and oversees new software and web applications
  • Trains and mentors software engineers
  • Oversees the researching, writing, and editing of documentation and technical requirements
  • Keeps current with technological developments within the industry
  • Provides technical leadership throughout the design process
  • Assists in tracking and provides performance metrics
  • Works with Quality Assurance team
  • Leads project planning, resourcing, requirement analyzing and defining
  • Presents and defends architectural, design and technical choices
  • Define the technical vision for Buyer Cloud’s next-generation backend
  • Lead architecture and design for large-scale, distributed systems
  • Establish durable platform patterns
  • Design and implement systems that allow AI agents to safely take actions
  • Partner with data, ML, and product stakeholders
  • Raise the bar on SLO-driven reliability and operational practices
  • Champion best-in-class observability
  • Drive performance engineering across critical paths
  • Mentor and grow senior engineers
  • Set and model expectations for design docs, decision logs, code review quality

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience
  • 15+ years building and operating scalable, distributed systems
  • ad tech / media / programmatic experience strongly preferred
  • Deep expertise in system design and technical architecture, including ownership of complex systems in production
  • Strong coding ability in one or more of: Python, Java, Go, C++ (performance, concurrency, and distributed computing)
  • Experience building and operating cloud-native services on AWS (or equivalent) including infrastructure-as-code
  • Demonstrated ability to own and manage technical backlogs, influence prioritization, and drive execution across multiple teams
  • AI / Agentic Systems Experience (Strongly Preferred)
  • Experience designing “tooling” APIs intended for automation (human and machine clients)
  • Familiarity with modern AI/agent patterns (tool calling, RAG, evaluation/monitoring)
  • Experience (or strong interest) in standards and ecosystems like MCP
  • 15+ years of experience as a hands-on software engineer
  • Experience in the media or advertising technology industry is a must-have
  • Proven expertise in technical architecture and system design
  • Advanced proficiency in object-oriented and systems programming languages such as C++, Java, Python, or Go
  • Experience deploying and operating applications in public cloud environments (e.g., AWS, GCP, Azure)
  • Comfortable using engineering productivity tools such as Jira, Confluence, Git, and Microsoft Office Suite

Nice to have:

  • AI / Agentic Systems Experience
  • Experience designing “tooling” APIs intended for automation
  • Familiarity with modern AI/agent patterns
  • Experience (or strong interest) in standards and ecosystems like MCP
What we offer:
  • Paid Time off
  • Physical Wellbeing benefits
  • Financial Wellbeing benefits
  • Emotional Wellbeing benefits
  • Life Events + Family Support benefits

Additional Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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