This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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 Software 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.
Job Responsibility:
Lead the design and development of highly scalable and maintainable ASP services powering ad delivery across multiple platforms
Architect and evolve the Slingshot platform toward modern, event-driven, and cloud-native paradigms
Own end-to-end delivery – from system design and implementation to deployment, monitoring, and optimization
Collaborate cross-functionally with Product, Data Engineering, DevOps, and SRE teams to deliver robust ad-serving capabilities
Partner with Data and ML teams to enable intelligent ad selection, pacing optimization, and automated anomaly detection
Champion observability and reliability, ensuring high availability and operational excellence through Datadog, Grafana, and modern CI/CD practices
Mentor and guide engineers across teams, fostering a culture of technical rigor, innovation, and continuous improvement
Influence the long-term technology roadmap, aligning engineering investments with SiriusXM's strategic ad tech goals.
Requirements:
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, AdsWizz, 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 driving cross-team technical initiatives, mentoring engineers, and influencing architecture at an organizational level
Bachelor's or Master's degree in Computer Science or a related field, or equivalent industry experience