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Principal Software Engineer

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Sovrn
Full Time position
Listed on 2026-05-05
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

About Sovrn

Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better, operate more efficiently, and make & keep more money.

  • We believe in the freedom and free-flow of information.
  • We believe the Open Web is the largest source of this information.
  • We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

  • Understand their business better
    , so they can make better decisions
  • Operate
    their business more efficiently, so they can invest in what matters most
  • Make (and Keep)
    more money
    , so they control their own destiny

About the Role

Sovrn is a supply-side platform (SSP) built to help publishers grow, protect, and understand their businesses. We operate at the intersection of programmatic advertising infrastructure and publisher monetization — processing hundreds of billions of ad requests daily across a global, high-throughput exchange.

We re looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you ll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we re also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

What you ll be doing:

  • Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
  • Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
  • Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
  • Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
  • Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
  • Drive technical standards, design reviews, and engineering best practices across a senior team
  • Partner with product, data science, and platform teams to ship end-to-end
  • Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
  • Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

  • 10+ years of software engineering experience, with a strong backend track record
  • 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
  • Deep fluency in the programmatic ecosystem:
    OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
  • Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
  • Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
  • Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
  • Comfort driving technical decisions in ambiguous, fast-moving environments
  • A point of view on where AI is and isn t the right tool — and the credibility to make that case

Location
:
This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional…

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