Principal Software Engineer, Pub Admin

Sony Music 2 80 99s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Lead Software Engineer within our Pub Admin product team in our London King 2 80 99s Cross office. Pub Admin is our unified, modern rights and royalty platform - where our engineers help transform a complex domain into simple, scalable, high-performance product solutions for Sony Music 2 80 99s global songwriting community.

What you 2 80 99ll do

• Work with a cross-functional team to build products that empower artists and record labels across the globe
• Contribute to all tiers of our architecture to produce high quality, robust user experiences
• Write clean, tested, maintainable code
• Work closely with product management to understand client requirements
• Design, communicate and execute a vision in collaboration with your team and other teams across the technology organization
• Participate in re-architecture, refinement and technical design of various systems
• Mentor more junior engineers and contribute to a culture of continuous learning

Who you are

• Seeking 20+ years of software engineering experience in the following areas:
• Experience implementing distributed systems
• Experience in a scripting language (we use Python and JavaScript)
• Experience building frontend applications (we use TypeScript, React, and GraphQL)
• Experience with various database technologies and query languages (we use Neo4j, Kafka, MySQL, Snowflake, OpenSearch, and more)
• Familiar with low-latency techniques to help improve page load time and reliability
• Experience with microservices, APIs, and related standards such as REST, HTTP, and OAuth
• Comfortable with AWS Cloud technologies
• Experience using log analysis to investigate bugs and performance issues
• Experience writing unit and integration tests
• Experience working in an agile team

The Ideal Candidate

• Can mobilize teams around a vision and help lead execution of that vision
• Experience with data modeling and schema design of real world use cases
• Has prior experience with machine learning builds and release at commercial scale
• Defines best practices and standards within the team and helps build tooling to make those easy to follow
• Proactive problem solving
• Experience optimizing tables, schemas and data structures
• Ability to determine sensible KPIs and optimize against them