[Remote] Staff Software Engineer, Python
Note: The job is a remote job and is open to candidates in USA. Pandora, part of SiriusXM, is a leader in audio entertainment and services. As a Staff Software Engineer on the Planning team, you will define the technical direction of ad buying systems, architect cloud-native backend services, and drive modernization initiatives.
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
- This role might be eligible for discretionary short-term and long-term incentives
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