Job Summary

Job Description

CoreResponsibilities

• Build and maintain software, data pipelines, dashboards, and automation that 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 actionable 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 that automate repetitive operational work, improve forecasting and anomaly detection, accelerate delivery, and surface recommendations for engineering and financial decision-making.

• 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.

• 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.

• Create reliable integrations between 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 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.

• Communicate findings and recommendations clearly to technical and nontechnical stakeholders, including the expected business value, implementation tradeoffs, risks, and realized savings.

• Contribute to continuous improvement by reducing technical debt, simplifying operational workflows, sharing reusable patterns, and coaching 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 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:

• Bachelors degree in computer science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience.
• 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 providerAWS, Azure, GCP, or OCIand working knowledge of cloud billing, resource tagging, usage metrics, or cost-management concepts.
• LLM/RAG/MCP and Agentic AI
• 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 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 contribute in a fast-paced agile environment while balancing delivery, reliability, security, cost, and maintainability.

BONUS POINTS:

• Adtech or Advertising industry experience.
• Experience with FinOps, cloud cost optimization, forecasting, AI-assisted engineering, or advertising and audience platforms is preferred but not required.

Disclaimer:

This information has been designed to indicate the general nature and level of work performedbyemployeesinthisrole.Itisnotdesignedtocontainorbeinterpretedasa comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Compensation

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work.    Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus.  Additionally, Comcast provides best-in-class Benefits to eligible employees.  We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.  Thats why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality  to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the on our careers site for more details.

Education

Certifications (if applicable)

Relevant Work Experience