About The Position

FreeWheel, a Comcast company, provides ad platforms for publishers, advertisers, and media buyers. The Software Engineering for Audience and Measurement (SEAM) team builds audience, identity, and measurement services that help advertisers and publishers reach the right people and understand campaign performance. Its work includes identity resolution, audience segmentation, and privacy-preserving measurement at scale. The Senior Software Engineer leads the technical design and delivery of complex software solutions spanning automation, analytics, and cloud optimization. This is a hands-on individual-contributor role partnering across Engineering, Finance, Product, Architecture, Data, Platform, and SRE. The engineer turns ambiguous efficiency goals into reliable solutions, guides technical decisions, and validates improvements in unit cost, developer productivity, reliability, and infrastructure. The position provides technical leadership and mentorship to junior engineers but has no direct people-management responsibility.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience. The stated degree is preferred; coursework and experience or extensive related professional experience may also be considered.
  • Typically, at least 5 years of hands-on software engineering experience using languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
  • 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 use of billing, utilization, allocation, and capacity data to inform 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.
  • 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 turn 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 work nights and weekends and variable schedules as necessary.

Nice To Haves

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

Responsibilities

  • Lead complex optimization initiatives from problem definition and technical design through implementation, rollout, and outcome validation; coordinate dependencies across teams and escalate material risks.
  • Architect and build reusable software, data pipelines, dashboards, and automation connecting cloud spend, resource utilization, unit economics, reliability, and engineering productivity.
  • Partner with engineering and finance leadership to define baselines, success measures, cost-benefit assumptions, and delivery options; validate realized savings and distinguish recurring savings from cost avoidance.
  • Diagnose systemic inefficiencies across distributed services and data platforms and lead improvements in compute, storage, data movement, capacity, and workload placement while maintaining platform performance and stability.
  • Design and productionize AI- and analytics-enabled forecasting, anomaly detection, and operational automation, evaluating accuracy, operating cost, security, and human oversight before scaling.
  • Contribute to 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 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 meet engineering, security, compliance, and operational standards.
  • Mentor junior engineers through design guidance, code reviews, and technical coaching; coordinate technical work on shared initiatives and promote 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 could improve operational efficiency.
  • Exercise independent judgment and discretion in matters of significance.
  • Maintain regular, consistent, and punctual attendance and work nights and weekends or variable schedules as necessary.
  • Perform other duties and responsibilities as assigned.

Benefits

  • Comcast offers benefits to eligible employees, with options and resources intended to support employees physically, financially, and emotionally.
  • Most non-sales positions are eligible for a bonus.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service