Staff Python Engineer - Ad Tech Trafficking & Billing

SiriusXM; New York (NY); On-site; USD 106,600 - 200,000; Full time

Job summary

SiriusXM is seeking a Staff Python Engineer to lead the design of scalable ad delivery systems. This role offers the chance to have significant influence over the ad lifecycle and to work on modern, cloud-native architectures.

Applicants should have over 8 years of experience, strong proficiency in Python, and a background in distributed systems. This position is based in New York, providing competitive compensation and opportunities for professional growth.

Qualifications

• 8+ years of professional software engineering experience.
• Deep expertise in Python and backend architecture.
• Strong background in distributed systems and data pipelines.
• Experience integrating with ad servers or delivery platforms.
• Hands-on experience with AWS and Kubernetes.
• Solid understanding of observability tools and CI/CD workflows.
• Proven success in driving cross-team technical initiatives.

Responsibilities

• Lead the design and development of scalable ASP services.
• Architect and evolve the Slingshot platform.
• Own end-to-end delivery from design to optimization.
• Collaborate with Product, Data Engineering, and DevOps teams.
• Partner with Data and ML teams for ad selection and optimization.
• Champion observability and reliability practices.
• Mentor and guide engineers across teams.

Skills

Python

Django

FastAPI

Distributed systems

Data pipelines

AWS

Kubernetes

Observability tools

Education

Bachelor’s or Master’s degree in Computer Science or a related field

Tools

Celery

Kafka

Airflow

Google Ad Manager

Datadog

Sentry

Grafana

Job description

SiriusXM is seeking a Staff Python Engineer to lead the design of scalable ad delivery systems. This role offers the chance to have significant influence over the ad lifecycle and to work on modern, cloud-native architectures.

Applicants should have over 8 years of experience, strong proficiency in Python, and a background in distributed systems. This position is based in New York, providing competitive compensation and opportunities for professional growth.