Senior Software Engineer

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 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.
Contribute to the design and delivery of scalable, available, secure, and maintainable services using cloud-native patterns, infrastructure as code, CI/CD, automated testing, and observability.
Own the technical quality of integrations between engineering telemetry, billing, financial planning, and reporting.
Establish data contracts, reconciliation checks, lineage, and auditable metric definitions.
Support capacity planning, cost allocation, tagging, chargeback, and forecasting processes that improve financial accountability and budget accuracy across engineering teams.
Develop automated unit and integration tests, troubleshoot production and data-quality issues, and ensure solutions adhere to engineering, security, compliance, and operational standards.
Mentor (more) junior engineers through design guidance, code reviews, and technical coaching; coordinate technical work on shared initiatives and promote adoption of reusable solutions.
Communicate technical recommendations, delivery risks, financial assumptions, and measured outcomes to engineering and business stakeholders; identify follow-on opportunities and recommend priorities to Management Stay current on cloud cost-management practices, AI capabilities, data platforms, and engineering productivity tools; prototype and evaluate technologies that can improve operational efficiency.
Consistent exercise of independent judgment and discretion in matters of significance.
Regular, consistent and punctual attendance.
Must be able to work nights and weekends, variable schedule(s) as necessary.
Other duties and responsibilities as assigned.
The Ideal Skillset: Bachelor's degree in Computer Science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience.
Typically, 5+ years of hands-on software engineering experience using languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
Demonstrated ability to independently turn ambiguous business objectives into technical designs, phased delivery plans, and measurable outcomes across multiple services or teams.
Deep experience with at least one major cloud provider—AWS, Azure, GCP, or OCI—and demonstrated application of billing, utilization, allocation, and capacity data to cloud optimization decisions.
Proficiency designing and operating cloud-native services with CI/CD, automated testing, and infrastructure as code using 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 pl