Are you an entertainment news junkie? Do you thrill your friends with tales torn from famous and obscure sources about artists and performers of every ilk? Are you a bit of a data-head who’s a little obsessed with entertainment charts, ranks, lists and stats? Do you knowingly smile to yourself as you watch a story’s blow-up path, from the feeds to the web to TV, all fueled by the public’s fascination with all things entertainment? And do you have an eye for fact-based stories and an understanding of the role data plays in their telling? If so, we’d like to talk!
Luminate is the preeminent entertainment data and insights company, unlocking access to the most essential, objective, and trustworthy data compiled from thousands of verified data sources. The beneficiary of industry consolidation, Luminate now houses what was once Nielsen Music, BDS Radio, SoundScan, Music Connect, Alpha Data and Variety Business Intelligence.
We are looking for a full-stack Senior Software Engineer to join our team in New York. We have a deep bench of domain expertise, what we want from you is a passion for application engineering with an aptitude for learning and practicing collaborative, iterative, software development with a small but growing team. We’re maintaining and building out our SaaS platform for the music, film and TV industries. We’re supporting our data science team to empower them to do what they do best. You’ll need strong communication skills, technical fluency, empathy, humility, and an appreciation for where the entertainment industries have been and where we hope to take them.
You will work with the Customer Experience team, composed of product managers, designers, and your fellow engineers to deliver a high-quality software platform that brings value to our customers in the music industry. Our overall mission is to take the foundations of technology that underpin our work in the music business and expand that out to new forms of media and new types of customers.

IDEAL SKILLS OR EXPERIENCE

Deep, meaningful and recent development experiences with one or more of the following is desired but not required:

• 7+ years of software engineering experience
• A solid foundation of computer science fundamentals and object-oriented design principles.
• Expertise in developing with Java and Spring Boot services.
• Experience in developing React front-ends with Typescript.
• Deep understanding of API design and microservice architecture.
• A strong commitment to test-driven development and an advocate for testing practices.
• CI/CD experience, ideally with blue-green deployments for a SaaS product.
• Best practices for development with public cloud environments, preferably AWS.
• And of course, the other usual suspects in this kind of tech stack: Python, JavaScript and SQL
• We would be over the moon if you have experience or skills specifically in:
• Data analytics or warehousing experience of any kind
• Data ingestion and query optimization best practices
• Domain knowledge of any entertainment industry’s data modeling or business operations
• Experiences with the challenges of testing data analytics products and the underlying data sets that power them.

• Working with your team to deliver on Luminate’s product roadmap utilizing modern software development practices.
• Developing not just the code, but all other parts of the stack: test suites, infrastructure, documentation, etc. We’re a small team and we want to develop competencies across the entire stack for the mutual benefit of the whole team.
• Managing risk and uncertainty while moving forward with the business as we bring our platform to new markets and audiences.
• Contributing back to our nascent engineering practice in ways that best demonstrate your own unique strengths.
• Assembling large, complex sets of data that meet non-functional and functional business requirements.
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Working with stakeholders including data, design, product teams and assisting them with data-related technical issues.