software engineeringcloudcost optimizationAIautomationdata pipelinesdashboardscloud billinginfrastructure as codeCI/CDmicroservicescontainersKubernetesSQLdata analyticsFinOpsadvertising technologyPythonGoJavaJavaScriptNode.jsRustScalaAWSAzureGCPTerraformDockerDatadogPrometheusGrafanaSnowflakeDatabricks
Key details
Salary
$110K – $165K
Employment type
Full-time
Seniority
Mid-level
Years experience
5-10
Location
Chicago, United States
Full job description
Software Engineer role on the SEAM team building audience, identity, and measurement services for advertising platforms. Responsibilities include developing software, automation, analytics, and cloud optimization solutions to improve cost visibility, infrastructure efficiency, developer productivity, and operational reliability. Collaborate with Engineering, Finance, Product, Architecture, Data, Platform, and SRE teams. Required skills: 3+ years software engineering experience with languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala; experience with major cloud providers (AWS, Azure, GCP, OCI) and cloud cost management; knowledge of CI/CD and infrastructure-as-code tools; experience with microservices, containers, orchestration platforms; strong SQL and data analytics platform experience; ability to analyze technical and financial data and communicate with stakeholders. Preferred experience includes adtech, FinOps, cloud cost optimization, and AI-assisted engineering. Bachelor's degree or equivalent experience required. Salary range $109,759.26 - $164,638.89. Location: Chicago, Illinois, USA.
What you'll do
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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 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 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 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
Exercise independent judgment and discretion in matters of significance
Work nights and weekends, variable schedule(s) as necessary
Other duties and responsibilities as assigned
Requirements
Bachelor’s degree in computer science, Engineering, Data Science, Finance, or a related field, or equivalent practical experience
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
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
Ability to contribute in a fast-paced agile environment while balancing delivery, reliability, security, cost, and maintainability
Tech stack
PythonGoJavaJavaScriptNode.jsRustScalaAWSAzureGCPOCIGitHub ActionsJenkinsTerraformDockerKubernetesEKSOKESQLSnowflakeDatabricksSparkPrestoEMRPostgreSQLAerospikeDatadogPrometheusELKGrafanaLLMRAGMCPAgentic AI
Benefits
Base pay within Illinois Pay Range: $109,759.26 - $164,638.89Commission eligibility for sales positionsBonus eligibility for most non-sales positionsBest-in-class benefits including physical, financial, and emotional support optionsPersonalized benefits to support employees through milestones and everyday life
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