Senior Software Engineer (Python, Java, C++, or GoLang) - Chicago, IL- ONSITE 2X Week- FreeWheel

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

The Software Engineering for Audience and Measurement (SEAM) team builds the audience, identity, and measurement services that help advertisers and publishers reach the right people and understand campaign performance. The team delivers identity resolution, audience segmentation, and privacy-preserving measurement solutions at scale, enabling more effective targeting, optimized spend, and clear insights into advertising impact.

We are looking for a Sr Software Engineer that will lead the technical design and delivery of complex software solutions. These initiatives will encompass automation, analytics, and cloud optimization objectives and span multiple engineering teams. Reporting to the Sr. Manager of Software Development & Engineering, you will remain a hands-on individual contributor, partnering with Engineering, Finance, Product, Architecture, Data, Platform, and SRE. You will translate ambiguous efficiency goals into reliable solutions, guide technical decisions, and validate improvements in unit cost, developer productivity, reliability, and infrastructure. You will promote peer growth by providing technical leadership to more junior engineers, without direct people-management responsibility.

Job Description

Core Responsibilities

• Independently lead complex optimization initiatives from problem definition and technical design through implementation, rollout, and outcome validation. Coordinate dependencies across teams, escalating material risks to appropriate stakeholders.

• Architect and build reusable software, data pipelines, dashboards, and automation; connecting cloud spend, resource utilization, unit economics, reliability, and engineering productivity across services.

• Partner with engineering and finance leadership, to define baselines, success measures, cost-benefit assumptions, and delivery options; validate realized savings, distinguishing recurring savings from cost avoidance.

• Diagnose systemic inefficiencies across distributed services and data platforms; lead improvements in compute, storage, data movement, capacity, and workload placement. Execute against the aforementioned goals; simultaneously ensuring platform performance and stability.

• Design and productionize AI- and analytics-enabled forecasting, anomaly detection, and operational automation. Evaluate accuracy, operating cost, security, and human oversight before scaling adoption.