Job Title: Senior Staff Software Engineer

Company Name: SiriusXM

Job Url: https://careers.siriusxm.com/careers/jobs/17175?lang=en-us&mode=apply&iis=jobright&jr_id=6996974ae0bddb6acac51ca5

Job Description: How you’ll make an impact:
As a Senior Staff Software Engineer, you will join a highly performing team of engineers who build, own, and maintain backend services, data products and reporting applications. You will design, collaborate, and execute building the AdsWizz data products and reporting systems at scale while automating and providing insights into the data onboarding with the SXM Media and AdsWizz

services.

What you’ll do:

Design and build high-performance, reliable, and scalable reporting APIs and data pipelines.

Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data.

Work with various teams of engineers building software in a collaborative development process.

Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent.

Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively.

Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team.

Responsible for mentoring and guiding junior engineers.

What you’ll need:

12+ years of software engineering experience in Python or Java programming language (preferably JDK17 or higher).

7+ years designing, building, and managing data pipelines using Spark, BigQuery, AWS EMR, and GCP Cloud Analytics.

7+ years of experience crafting REST API based-microservices and scalable products, utilizing diverse cloud platforms (ideally AWS).

Cloud data warehouse & analytics platforms (Snowflake, BigQuery).

Observability tools like Prometheus, Grafana, ELK stack.

Data pipeline expectations framework experience (like Monte Carlo data, Great Expectations, Soda).

Working with containers (Docker, Kubernetes).

Messaging platforms and stream data processing (like Kafka, Flink, Pub/Sub).

Collaboration tools like Miro (or Lucidchart), Jira and Confluence.

Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing.

Ability to work independently and oversee entire projects or significant parts, focusing on research and completing the tasks on time.

Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement.

Nice to have expertise in Caching implementations (like Redis, Memcached, etc.).