Python Engineer

Overview

Sirius

XM and its brands (Pandora, Sirius

XM Media, Ads Wizz, Simplecast, and Sirius

XM Connect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners — in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.

This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing Sirius

XM’s vision to life every day.

Sirius

XM Media is the gateway for marketers to the largest digital audio advertising ecosystem in North America. As the combined advertising revenue organization of Sirius XM Holdings Inc., Sirius

XM Media spans across leading owned and operated audio platforms Pandora and Sirius

XM; innovative ad tech solutions powered by Ads Wizz; sonic creative consultancy Studio Resonate; and an extended content network featuring exclusive monetization agreements with Audiochuck, NBCUniversal, Sound Cloud, and many more. Reaching more than 150 million listeners each month, Sirius

XM Media delivers audiences the tailored brand experiences they crave while putting creators first, making it easy for every marketer to produce, plan, buy and measure across its entire audio universe.

Ads Wizz, a subsidiary of Sirius

XM, is the leading global provider of digital audio and podcast advertising solutions. Ads Wizz is the underlying monetization solution for well-known music platforms, podcasts, and broadcasting groups worldwide, giving advertisers of all sizes unprecedented access to premium and niche audio content. Through dynamic ad insertion, advanced programmatic platforms, and innovative audio formats, Ads Wizz efficiently connects buyers and sellers for digital audio and podcast advertising.

Ads Wizz is a global company with a presence in over 40 countries.

Our Ad Sales Engineering organization builds the technical backbone that enables advertisers to plan, deliver, optimize, and monetize campaigns across a massive, multi-platform landscape. This role sits at the intersection of ad delivery (Trafficking) and revenue realization (Billing) – two mission-critical domains that directly impact company revenue.

We are looking for a Staff Python Engineer to provide technical leadership across both:

• Trafficking Systems – the real-time backbone that powers ad delivery and pacing across platforms.
• Billing & Finance Platforms – the source of truth for revenue calculation, reconciliation, reporting, and financial integrity.

This is a rare opportunity to influence the entire ad lifecycle – from campaign ingestion to impression delivery to revenue recognition. You will shape architecture, modernize legacy systems, and drive event-driven, cloud-native transformation across both domains.

This role is ideal for a hands-on technical leader who:

• Thinks in distributed systems.
• Understands revenue-critical pipelines.
• Thrives in cross-team influence.
• Wants ownership over systems that directly move business metrics.
• Brings in AI stewardship.

• 8+ years of professional software engineering experience.
• Deep expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture, including async programming and microservice design.
• Strong background in distributed systems and data pipelines, with experience using tools like Celery, Kafka, or Airflow.
• Experience integrating with ad servers or delivery platforms (e.g., Google Ad Manager, Ads Wizz, Triton).
• Hands-on experience with AWS and Kubernetes, including infrastructure automation and service scaling.
• Solid understanding of observability tools (Datadog, Sentry, Grafana) and CI/CD workflows.
• Proven success in…