Job Description
Salary: $109,759.26 - 164,638.89 per year Requirements:
- Bachelors degree in computer science, engineering, data science, finance, or a related field, or equivalent practical experience; relevant coursework or extensive professional experience may also be considered.
- Typically, 3+ years of hands-on software engineering experience with languages such as Python, Go, Java, JavaScript/Node.js, Rust, or Scala.
- Experience with a major cloud provider (AWS, Azure, GCP, or OCI) and working knowledge of cloud billing, resource tagging, usage metrics, or cost-management concepts.
- Familiarity with LLMs, RAG, MCP, and agentic AI.
- Working knowledge of CI/CD and infrastructure-as-code tools such as GitHub Actions, Jenkins, or Terraform.
- 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 reports, data pipelines, or observability solutions using tools such as Datadog, Prometheus, ELK, Grafana, or business intelligence platforms.
- Ability to analyze technical and financial data, assess tradeoffs, debug scoped issues, and turn findings into practical engineering actions.
- Strong collaboration and communication skills, including the ability to work 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.
- Adtech or advertising industry experience is a plus.
- Experience with FinOps, cloud cost optimization, forecasting, AI-assisted engineering, or advertising and audience platforms is preferred but not required.
- Regular, punctual attendance and flexibility to work nights, weekends, or variable schedules as needed.
Responsibilities: - Build and maintain software, data pipelines, dashboards, and automation to measure cloud spend, infrastructure use, unit costs, capacity, reliability, and engineering productivity.
- Partner with management and Finance to translate budgets, forecasts, unit economics, and business cases into 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 to automate operational work, improve forecasting and anomaly detection, accelerate delivery, and support engineering and financial decisions.
- Design and deliver scalable, available, secure, and maintainable services using cloud-native patterns, infrastructure as code, CI/CD, automated testing, and observability.
- Collaborate with Architecture, Platform, Data, SRE, and product engineering teams on cost-efficient designs, modernization, and buy-versus-build-versus-broker decisions.
- Integrate 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 to strengthen financial accountability and budget accuracy.
- Develop automated unit and integration tests, troubleshoot production and data-quality issues, and follow engineering, security, compliance, and operational standards.
- Communicate findings and recommendations to technical and nontechnical stakeholders, including business value, tradeoffs, risks, and realized savings.
- Reduce technical debt, streamline operational workflows, share reusable practices, and coach teammates in cost-conscious engineering.
- Keep current with cloud cost management, AI, data platforms, and engineering productivity tools; prototype and evaluate technologies that could improve efficiency.
- Exercise independent judgment and discretion in significant matters, and perform other duties as assigned.
Technologies: - Agentic AI
- AI
- AWS
- Azure
- Business Intelligence
- CI/CD
- Cloud
- Databricks
- Datadog
- Docker
- ELK
- GCP
- GitHub
- Grafana
- Support
- Java
- JavaScript
- Jenkins
- Kubernetes
- MCP
- PostgreSQL
- Prometheus
- Python
- RAG
- Rust
- SQL
- Scala
- Security
- Snowflake
- Spark
- Terraform
- microservices
- NodeJS
- C++
- LLM
More:
We are collaborating with hackajob to connect professionals with Comcast. FreeWheel, a Comcast company, provides advertising platforms for publishers, advertisers, and media buyers, using premium video, data, and technology to support transactions across screens, data types, and sales channels. Our global company has offices in nine countries. This Software Engineer will join the Software Engineering for Audience and Measurement team, which builds audience, identity, and privacy-preserving measurement services for advertising platforms. Reporting to the Senior Manager of Optimization, the role is a hands-on individual contributor working across engineering, finance, product, architecture, data, platform, and SRE to connect engineering performance with financial outcomes. The position supports scalable audience, identity, measurement, decisioning, and activation platforms. The Illinois base-pay range is $109,759.26–$164,638.89, with the offer determined by job-related factors such as experience. Eligible employees receive benefits, and most non-sales roles are eligible for a bonus. The application window is 30 days from posting, subject to change based on applicant volume. We are an equal opportunity workplace and consider qualified applicants without regard to protected characteristics.
last updated 43 week of 2026
Job Tags
Full time, Night shift, Weekend work