Sr. Cloud Engineer- Python/Go & Distributed Systems

Comcast•Chicago, IL

1d•Onsite

About The Position

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world. FreeWheel, a Comcast global advertising technology company, powers the buying, selling, and delivery of premium video advertising across linear TV, connected TV (CTV), and streaming platforms. FreeWheel provides enterprise-scale software and marketplaces that enables programmatic ad‑tech solutions that help media owners, advertisers, and agencies manage, monetize, and measure advertising across linear TV, streaming, and digital video. About the Role: FreeWheel is now executing a multi‑cloud strategy , with significant testing and development underway on a new cloud platform. As a Sr. Software Engineer, you will play a key role in developing and supporting applications across multiple cloud environments , leveraging native cloud services while ensuring high availability, scalability, and performance. This role blends both hands-on User Interface (UI) development with production support , You will collaborate closely with internal engineering teams, vendors, and client services to drive automation, reliability, and operational excellence across large-scale distributed systems.

Requirements

6+ years of professional software development experience
Strong backend development, coding, and debugging skills
Strong Proficiency in one or more of dynamic programming languages: Python/Go
Experience developing and debugging server-side applications or web services
Strong working expertise with cloud environments ( AWS strongly preferred), including native services such as: EC2, S3, VPC, RDS, IAM
Working knowledge of CI/CD frameworks and orchestration such as: Jenkins, GIT, Kubernetes, Terraform, and/or Docker
Solid understanding of database structures and SQL
Exposure to infrastructure-as-code concepts

Responsibilities

Design, analyze, and troubleshoot UI, API, Search systems
Troubleshoot large-scale distributed systems
Build applications that run across multiple cloud platforms , leveraging native cloud services
Automate routine operational tasks to improve efficiency and reliability
Provide production support, including monitoring, incident response, and root cause analysis
Support secure configurations, vulnerability remediation, and operational readiness
Participate in software release cycles, including planning, testing, deployment, and monitoring
Develop automation tools, scripts, and workflows to streamline processes
Partner with engineering teams to identify and implement process and platform improvements
Serve in a rotating on-call rotation, providing 12-hour coverage for one week per month to support production systems.