Lead Software Engineer

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Lead Software Engineer within our growing D2C product team in our London King’s Cross office. Your work will power the technology that will support our artist, label, and merchandise stores worldwide.

What you'll 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

• Seeking 18+ 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

• Experience with Shopify development (themes, custom apps, and API integrations) is a plus
• 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