10 дней назад
Principal Backend Engineer (Music Discovery Platform)
125 250 - 183 700$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Backend Engineer (Music Discovery Platform): Building scalable APIs and backend services for music catalog search, recommendations, personalization, and user interaction with an accent on data modeling, cloud-native infrastructure, and high availability. Focus on leading backend engineering, integrating music metadata and streaming services, optimizing low-latency systems, and implementing observability for reliable production services.
Location: 100% remote within the United States, with availability during typical continental US business hours; travel up to 5% domestically and internationally.
Salary: $125,250–$183,700 per year, with other compensation potentially available depending on the position.
Company
develops connected technology platforms and audio, automotive, lifestyle, and digital transformation solutions.
What you will do
- Architect and develop scalable, secure APIs for music catalog, recommendation, and search capabilities.
- Design data models and integrate third-party music metadata providers, streaming services, and analytics platforms.
- Lead backend engineering efforts by setting coding standards, reviewing code, and mentoring junior engineers.
- Collaborate with product, frontend, and data teams to define API contracts and deliver data-driven user experiences.
- Optimize backend performance for low latency and high availability.
- Implement monitoring, logging, alerting, and other observability capabilities while evaluating technologies that improve system capabilities.
Requirements
- 10+ years of experience developing backend services.
- Strong proficiency in Node.js, Python, Go, or similar backend languages.
- Deep understanding of API design, microservices architecture, and cloud-native development.
- Hands-on experience with GCP, AWS, and Azure.
- Expertise with Docker, Kubernetes, serverless architectures, and CI/CD pipelines.
- Experience with databases such as PostgreSQL and BigQuery, caching strategies, and message queues such as Kafka or RabbitMQ.
Nice to have
- Experience with machine learning pipelines, recommendation engines, and production machine learning workloads.
- Experience with audio music streaming services, music metadata standards, music theory, audio fingerprinting, or digital signal processing.
- Familiarity with C# and .NET technologies.
- Open-source contributions or technical blogs.
Culture & Benefits
- Flexible work schedule with a focus on work-life integration and collaboration.
- Wellness benefits, paid vacation and holidays, paid sick leave, and paid bonding and caregiver leave.
- Medical, dental, and vision plans, fertility support, adoption assistance, HSA/FSA, disability coverage, and life insurance.
- 401(k) retirement savings plan with employer match and tuition reimbursement.
- Professional development through University, leadership academies, and course programs.
- Employee discounts on products and access to a recognition and rewards program.
Hiring process
- Successful completion of a background investigation and drug screen is required as a condition of employment.
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