Note: The job is a remote job and is open to candidates in USA. SiriusXM is a leading audio entertainment company, and they are seeking a Staff Software Engineer to define and drive the technical direction of their ad buying systems. The role involves architecting cloud-native backend services and leading modernization and scalability initiatives for the ad tech platforms.
Responsibilities
- Lead the design and development of scalable, maintainable services that power ad buying and the complicated parts to it
- Architect and evolve the Slingshot platform toward modern and cloud-native paradigms
- Drive end-to-end execution — from design and implementation to deployment, monitoring, and performance optimization
- Collaborate cross-functionally with Product, Data Engineering, DevOps, and SRE to deliver high-impact, integrated ad buying capabilities
- Partner with data, UI, billing, and ad trafficking teams to optimize end-to-end ad buying workflows through intelligent automation
- Champion observability, reliability, and operational excellence using Datadog, Grafana, and modern CI/CD practices
- Mentor engineers across teams, fostering a culture of technical rigor, inclusion, and continuous improvement
- Influence long-term architecture and technology strategy, aligning with SiriusXM’s broader ad tech roadmap
Skills
- 7+ years of professional software engineering experience, including 2+ years in a Staff or equivalent senior technical leadership role
- Expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture (e.g. microservices)
- Strong foundation in distributed systems and data pipelines, with hands-on experience in Kafka, Celery, or Airflow
- Experience with ad serving or delivery platforms (e.g., Google Ad Manager, AdsWizz, Triton)
- Deep familiarity with AWS, Kubernetes, and infrastructure automation
- Proficiency with observability tools (Datadog, Sentry, Grafana) and CI/CD workflows
- Demonstrated success leading cross-team technical initiatives, mentoring engineers, and influencing large-scale architecture
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
- Must have legal right to work in the U.S
Benefits
- Discretionary short-term incentives
- Discretionary long-term incentives
Company Overview