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Sundayy

Software Engineer (Js, Python)

England
Posted about 23 hours ago
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About The Company

Sony Music Entertainment is a globally renowned leader in the music industry, dedicated to delivering exceptional musical experiences and fostering innovative solutions for artists, labels, and fans worldwide. Our company prides itself on a rich history of artistic excellence, cutting-edge technology integration, and a commitment to diversity and inclusion. Through our various divisions and teams, we strive to empower creativity, support artist development, and revolutionize how music is created, distributed, and enjoyed across the globe.

About The Role

We are seeking a highly skilled Lead Software Engineer to join our Product, Design, Engineering & Global Operations (PDEGO) team within our King’s Cross office in London. In this pivotal role, you will spearhead the development of our Pub Admin product, a unified, modern rights and royalty platform that simplifies complex domains into scalable, high-performance solutions for Sony Music’s global songwriting community. You will collaborate with cross-functional teams to build innovative products that empower artists and record labels worldwide, ensuring the delivery of robust, high-quality user experiences. Your leadership will be instrumental in shaping the technical vision, driving architectural decisions, and mentoring junior engineers, all while championing the adoption of AI-powered tools to accelerate development cycles and deliver innovative features.

Qualifications

  • 10+ years of software engineering experience.
  • Proven experience implementing distributed systems.
  • Proficiency in scripting languages such as Python and JavaScript.
  • Experience building frontend applications using TypeScript, React, and GraphQL.
  • Knowledge of various database technologies including Neo4j, Kafka, MySQL, Snowflake, and OpenSearch.
  • Familiarity with low-latency techniques to improve page load times and system reliability.
  • Experience working with microservices, APIs, and standards such as REST, HTTP, and OAuth.
  • Comfortable working with AWS Cloud technologies.
  • Experience utilizing log analysis for bug investigation and performance optimization.
  • Proficiency in writing unit and integration tests.
  • Experience working within an agile development environment.
  • Strong problem-solving skills and proactive approach to challenges.
  • Prior experience with data modeling, schema design, and machine learning deployment at scale is a plus.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Responsibilities

  • Lead the development and enhancement of our Pub Admin platform, ensuring it meets scalability, performance, and security standards.
  • Collaborate with product management and cross-functional teams to understand requirements and translate them into technical solutions.
  • Design, communicate, and execute a compelling technical vision aligned with business goals.
  • Participate in architectural decisions, system re‑architecture, and technical design reviews.
  • Implement and promote best practices in coding, testing, and documentation across the engineering team.
  • Mentor junior engineers, fostering a culture of continuous learning and technical excellence.
  • Champion the adoption of AI-driven tools and features to enhance product capabilities and development efficiency.
  • Contribute to data modeling, schema design, and optimization of data structures for real-world use cases.
  • Utilize log analysis and performance metrics to troubleshoot issues and improve system reliability.
  • Support the deployment and release of machine learning models and other innovative features at scale.

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Benefits

  • Opportunity to join a vibrant, global community dedicated to innovation in the music industry.
  • Modern, collaborative office environment designed to foster creativity and productivity.
  • Investment in your professional growth through training, development programs, and career advancement opportunities.
  • Flexible work arrangements and a supportive work-life balance.
  • Participation in social impact, diversity, equity, and inclusion initiatives.
  • Comprehensive benefits package including private medical cover, a generous pension scheme, life assurance, income protection, and industry-specific perks.
  • Additional time off during the winter holiday period to promote well-being and rejuvenation.

Equal Opportunity

Sony Music Entertainment is committed to fostering a diverse and inclusive workforce. We are an equal opportunity employer and support workforce diversity across all levels of the organization. We evaluate all employees and applicants based on merit, qualifications, competence, and talent, without regard to sex, race, religion, origin, age, sexual orientation, marital status, medical condition, or disability. Our goal is to create a welcoming environment where everyone can thrive and contribute to our shared success.

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Skills

Python
JavaScript
TypeScript
React
GraphQL
Neo4j
Kafka
MySQL
Snowflake
OpenSearch
AWS Cloud
Microservices
REST
OAuth
Distributed Systems
Machine Learning

Location

England, United Kingdom

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