
Agentic/AI Software Engineer (Python, Java, C++, or GoLang) - Chicago, IL- ONSITE 2X Week- FreeWheel
Comcast4 days ago
Base Salary
$112k - $167k/yr
Responsibilities
- Build and maintain software, data pipelines, dashboards, and automation for cloud spend, infrastructure utilization, capacity, reliability, and engineering productivity.
- Translate budgets, forecasts, unit economics, and business cases into engineering requirements and optimization initiatives with Finance and engineering stakeholders.
- Analyze cloud, platform, and data workloads to identify cost anomalies, inefficient resource use, redundant services, and optimization opportunities.
- Implement AI- and analytics-enabled solutions for operational automation, forecasting, anomaly detection, delivery acceleration, and decision support.
- Design and deliver scalable, available, secure, and maintainable cloud-native services with infrastructure as code, automated testing, and observability.
- Integrate engineering telemetry, cloud billing data, financial planning inputs, and executive reporting while validating data quality and documenting controls.
- Support capacity planning, cost allocation, tagging, chargeback, and forecasting processes.
- Troubleshoot production and data-quality issues and ensure compliance with engineering, security, and operational standards.
- Communicate technical and financial findings, tradeoffs, risks, business value, and realized savings to technical and nontechnical stakeholders.
- Reduce technical debt, simplify operational workflows, share reusable patterns, and coach teammates on cost-conscious engineering practices.
Requirements
- Bachelor’s degree in computer science, engineering, data science, finance, or a related field, or equivalent practical experience.
- Typically 5-7 years of relevant work experience and at least 3 years of hands-on software engineering experience.
- Experience with Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
- Experience with AWS, Azure, GCP, or OCI and working knowledge of cloud billing, resource tagging, usage metrics, or cost management.
- Working knowledge of GitHub Actions, Jenkins, Terraform, or equivalent CI/CD and infrastructure-as-code tools.
- Experience with microservices, containers, and orchestration platforms such as Docker, Kubernetes, EKS, or OKE.
- Strong SQL skills and exposure to Snowflake, Databricks, Spark, Presto, EMR, PostgreSQL, or Aerospike.
- Experience building dashboards, automated reporting, data pipelines, or observability solutions with tools such as Datadog, Prometheus, ELK, Grafana, or business intelligence platforms.
- Experience or interest in LLM, RAG, MCP, and agentic AI solutions.
- Ability to analyze technical and financial data, quantify tradeoffs, debug scoped issues, and convert findings into practical engineering actions.
- Strong collaboration and communication skills across Engineering, Finance, Product, Architecture, Data, Platform, SRE, compliance, and end-user groups.
- Adtech, FinOps, cloud cost optimization, forecasting, AI-assisted engineering, or advertising and audience-platform experience is preferred but not required.
Benefits
- Chicago, Illinois position with onsite work twice per week.
- Must be able to work nights, weekends, or variable schedules as necessary.
- Comcast provides benefits and personalized support intended to address physical, financial, and emotional well-being.
- Non-sales positions may be eligible for a bonus in addition to base pay.
Tech Stack
Apache SparkAWSAzureC++DatabricksDatadogDockerGitHub ActionsGoGoogle Cloud PlatformGrafanaJavaJavaScriptJenkinsKubernetesNode.jsPostgreSQLPrestoPrometheusPythonRustScalaSnowflakeSQLTerraform
Categories
About Comcast
Comcast is a U.S.-based media and telecommunications company that sells broadband, video, wireless, and voice services to consumers and businesses under the Xfinity and Comcast Business brands. It also owns NBCUniversal (including NBC, Universal Pictures, and Peacock) and Sky, operating TV networks, film studios, and streaming in the U.S. and Europe. Founded in 1963 and headquartered in Philadelphia, it is publicly traded on Nasdaq (CMCSA).