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As a Staff Software Engineer, you will help make SiriusXM’s massive content catalog easily discoverable across automotive and mobile platforms. You’ll work on the core search infrastructure that powers how millions of users find content every day. In this role, you’ll design, scale, and evolve distributed search systems that retrieve high-quality results at scale. You’ll drive architectural decisions, own complex, business-critical components, and establish best practices as the team and platform grow. You’ll also play a pivotal role in exploring new ML models, re-architecting our search services, improving scalability, reliability, and cost efficiency. This role is ideal for someone who thrives in ambiguity, is technically pragmatic, and can make strong architectural decisions in imperfect, real-world conditions. You’ll collaborate closely with content services teams, product partners, ML/science teams, and downstream client applications to deliver cutting-edge search experiences.
Job Responsibility
Design, build, and operate well-architected, scalable microservices for the search services stack
Drive architectural evolution of indexing, retrieval, and serving pipelines from prototype to production
Evaluate, fine-tune, and integrate off-the-shelf LLM models, rapidly prototyping where needed
Drive cross-functional initiatives, collaborating with product, science, design, and infrastructure partners
Act as a strong technical bridge between science/ML and engineering teams
Partner with the Voice Search team to eliminate redundancies and enhance the overall search ecosystem
Influence and uphold engineering best practices, mentoring other engineers as the team scales
Requirements
7+ years of professional software engineering experience building large-scale backend systems in Java, building backend microservices and scalable distributed systems
3+ years of experience with Python
Deep experience with search frameworks, metadata indexing, and retrieval systems
Proven experience leading complex, cross-functional technical initiatives
Expert-level experience with AWS, including deploying applications using services such as EC2, Lambda, S3, DynamoDB, CloudWatch, ElastiCache, and IAM
Strong foundation in object-oriented design, system design, and design patterns
Proven ability to make sound architectural trade-offs while maintaining long-term extensibility
Comfort working across system boundaries (infrastructure, ML, and adjacent service domains)
Ability to handle multiple tasks in a fast-paced environment
Excellent interpersonal and communication skills
Willingness to take initiative and to follow through on projects
Excellent time management skills, with the ability to prioritize and multitask, and work under shifting deadlines in a fast-paced environment