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

Comcast Resume • Chicago, IL

66d • $109,759 - $164,639 • Hybrid

About The Position

The Software Engineer will join FreeWheel’s Software Engineering for Audience and Measurement (SEAM) team, which builds 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.

This hands-on individual contributor role delivers software, automation, analytics, and cloud optimization solutions that connect engineering performance with financial outcomes. The engineer partners across Engineering, Finance, Product, Architecture, Data, Platform, and SRE to improve cost visibility, infrastructure efficiency, developer productivity, operational reliability, and returns on technology investments, while supporting scalable audience, identity, measurement, decisioning, and activation platforms. The role reports to the Senior Manager of Optimization and is based onsite in Chicago two days per week.

Requirements

• Bachelor’s degree in computer science, engineering, data science, finance, or a related field, or equivalent practical experience. A bachelor’s degree is preferred; coursework and experience or extensive related professional experience may also be considered.
• Typically, 3+ years of hands-on software engineering experience using languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
• Experience with at least one major cloud provider—AWS, Azure, GCP, or OCI—and working knowledge of cloud billing, resource tagging, usage metrics, or cost-management concepts.
• Working knowledge of CI/CD and infrastructure-as-code tools such as GitHub Actions, Jenkins, Terraform, or equivalent technologies.
• Experience with microservices, containers, and orchestration platforms such as Docker, Kubernetes, EKS, or OKE.
• Strong SQL skills and exposure to data and analytics platforms such as Snowflake, Databricks, Spark, Presto, EMR, PostgreSQL, or Aerospike.
• Experience building dashboards, automated reporting, data pipelines, or observability solutions using tools such as Datadog, Prometheus, ELK, Grafana, or business intelligence platforms.
• Ability to analyze technical and financial data, quantify tradeoffs, debug scoped issues, and translate findings into practical engineering actions.
• Strong collaboration and communication skills, including the ability to work effectively with Engineering, Finance, Product, Architecture, Data, Platform, SRE, compliance, and end users.
• Ability to contribute in a fast-paced agile environment while balancing delivery, reliability, security, cost, and maintainability.
• Ability to work nights and weekends, on variable schedules as necessary.
• Relevant work experience listed as 5–7 years.

Nice To Haves

• Adtech or advertising industry experience.
• Experience with FinOps, cloud cost optimization, forecasting, AI-assisted engineering, or advertising and audience platforms.
• Experience with LLM/RAG/MCP and Agentic AI.

Responsibilities

• Build and maintain software, data pipelines, dashboards, and automation to measure cloud spend, infrastructure utilization, cost per transaction or activation, capacity, reliability, and engineering productivity.
• Partner with the Manager and Finance stakeholders to translate budgets, forecasts, unit economics, and business cases into engineering requirements and measurable optimization initiatives.
• Analyze cloud, platform, and data workloads to identify cost anomalies, inefficient resource use, redundant services, and opportunities to improve workload placement, storage, compute, and data movement.
• Implement AI- and analytics-enabled solutions to automate repetitive operational work, improve forecasting and anomaly detection, accelerate delivery, and support engineering and financial decisions.
• Contribute to scalable, available, secure, and maintainable services using cloud-native patterns, infrastructure as code, CI/CD, automated testing, and observability.
• Work with Architecture, Platform, Data, SRE, and product engineering teams to evaluate cost-efficient design patterns and participate in buy-versus-build-versus-broker and modernization decisions.
• Integrate engineering telemetry, cloud billing data, financial planning inputs, and executive reporting; validate data quality and document definitions, assumptions, and controls.
• Support capacity planning, cost allocation, tagging, chargeback, and forecasting processes to improve financial accountability and budget accuracy across engineering teams.
• Develop automated unit and integration tests, troubleshoot production and data-quality issues, and ensure solutions follow engineering, security, compliance, and operational standards.
• Communicate findings and recommendations to technical and nontechnical stakeholders, including expected business value, implementation tradeoffs, risks, and realized savings.
• Reduce technical debt, simplify operational workflows, share reusable patterns, and coach teammates on cost-conscious engineering practices.
• Stay current on cloud cost-management practices, AI capabilities, data platforms, and engineering productivity tools; prototype and evaluate technologies that could improve operational efficiency.
• Exercise independent judgment and discretion in matters of significance; maintain regular, consistent, and punctual attendance, including nights and weekends as necessary.
• Perform other duties and responsibilities as assigned.
• Understand and follow Comcast Operating Principles, put customers first, learn and advocate for company technology and products, collaborate as a team, participate in the Net Promoter System, drive results and growth, promote inclusion and diversity, and act in the interests of colleagues, customers, investors, and communities.

Benefits

• Comcast provides benefits to eligible employees, with options and guidance intended to support physical, financial, and emotional well-being. Details are available in the company’s compensation and benefits summary.
• Most non-sales positions are eligible for a bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level