Principal Backend Engineer (Music Discovery Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Backend Engineer (Music Discovery Platform): Architect and develop scalable, high-performance backend systems powering music metadata management and discovery with an accent on APIs, data models, and integrations with third-party providers. Focus on optimizing performance, implementing observability tools, and leading engineering efforts including code reviews and mentoring.
Location: 100% Remote, must be available for meetings and team interaction during typical continental US business hours. Willing to travel up to 5% domestically and internationally.
Salary: $125,250 - $183,700
Company
Global leader in audio technology platforms for automotive, lifestyle, and digital transformation solutions under brands like JBL and /Kardon.
What you will do
- Architect and develop robust, scalable APIs for music catalog, recommendation, and search.
- Design data models and manage integrations with third-party music metadata providers, streaming services, and analytics platforms.
- Lead backend engineering efforts, set coding standards, review code, and mentor junior engineers.
- Collaborate with product, frontend, and data teams to define API contracts and deliver seamless user experiences.
- Optimize performance of backend services for low latency and high availability.
- Implement observability tools for monitoring, logging, and alerting.
- Drive technical innovation by evaluating new technologies and frameworks.
Requirements
- 10+ years of backend services development
- Strong proficiency in Node.js, Python, or Go.
- Deep understanding of API design, microservices architecture, and cloud-native development.
- Hands-on experience with GCP, AWS, and Azure.
- Expertise with Docker, Kubernetes, and Serverless architectures.
- Proficient with CI/CD pipelines.
- Experience with databases (e.g., PostgreSQL, BigQuery), caching strategies, and message queues (e.g., Kafka, RabbitMQ).
Nice to have
- Experience with machine learning pipelines or recommendation engines.
- Experience working with machine learning workloads in production.
- Experience with audio music streaming services.
- Knowledge of music theory, audio fingerprinting, or digital signal processing.
- Familiarity with C# and .NET.
- Contributions to open-source projects or technical blogs.
Culture & Benefits
- Competitive wellness benefits and 401K Retirement Savings plan with employer match.
- Comprehensive medical, dental, vision plans, Health Savings and Flexible Spending Accounts.
- Paid vacation, holidays, sick leave, volunteer leave, bonding and caregiver leave.
- Flexible work schedule promoting work-life integration.
- Professional development through University courses and tuition reimbursement.
- Employee discounts on products and recognition programs.
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