Lead Software Engineer - Backend (Java)

Gracenote is the content business unit of Nielsen that powers the world of media entertainment. Our metadata solutions help media and entertainment companies around the world deliver personalized content search and discovery, connecting audiences with the content they love. We re at the intersection of people and media entertainment. With our cutting-edge technology and solutions, we help audiences easily find TV shows, movies, music and sports across multiple platforms. As the world leader in entertainment data and services, we power the world s top streaming platforms, cable and satellite TV providers, media companies, consumer electronics manufacturers, music services and automakers to navigate and succeed in the competitive streaming world. Our metadata entertainment solutions have a global footprint of 80+ countries, 100K+ channels and catalogs, 70+ sports and 100M+ music tracks, all across 35 languages.

Job Purpose:

Develop and enhance our flagship Video metadata software solutions.

Design applications with a Platform-first mentality where scale, consistency and reliability are at the core of every decision.

As a Lead Engineer, you will be responsible for leading the designing, developing, and maintaining high-quality software applications. You will collaborate with cross-functional teams to define, design, and ship new features, while also ensuring the performance, quality, and responsiveness of applications. In addition you will mentor and guide the junior engineers.

Experience in designing, developing and scaling enterprise grade applications, including developing solutions from scratch.

Exposure to various backend and front end technologies including Java andJavascript.

Willing to work on legacy stacks and curious to automate old systems.

ETL/ELT processes

Optimize existing data pipelines for performance, cost, and reliability.

Distributed System

databases, including schema design, for large-scale Applications

PostgreSQL, MySQL, Oracle

MongoDB, Cassandra, Redis, DynamoDB, Elastic Search, HBASE

Proven experience in leading and mentoring a team of engineers ensuring successful project delivery.

In depth knowledge and proficiency of messaging queue concepts

Key Responsibilities

Lead Design, develop, and maintain scalable and robust web applications and data pipelines.

Collaborate with product managers, designers, and other engineers to gather requirements and translate them into technical specifications.

Write clean, maintainable, and efficient code following best practices and coding standards.

Conduct code reviews ensuring adherence to best practices and high coding standards provide constructive feedback to team members.

Troubleshoot and debug applications to optimize performance and resolve issues.

Participate in the full software development lifecycle, including planning, development, testing, and deployment. Participate in architectural discussions and decision-making processes to shape the future of our technology stack

Stay up-to-date with emerging technologies and industry trends and evaluate their potential impact on our products and services.

Contribute to the development and improvement of engineering processes, tools, and methodologies.

Mentor and guide junior engineers, fostering a culture of learning and collaboration within the team.Qualifications

Bachelor s degree in Computer Science, Engineering, or a related field.

10+ years of professional experience in software development, with a strong focus on Java.

Proficiency in Java frameworks such as Spring, Hibernate, or similar.

Experience with RESTful APIs and microservices architecture.

Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.

Working knowledge of machine learning and data science concepts

Understanding of software development methodologies (Agile, Scrum, etc.).Strong problem-solving skills and the ability to work independently as well as in a team environment.

Excellent communication and interpersonal skills.

Preferred Qualifications

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).Familiarity with containerization technologies (e.g., Docker, Kubernetes).Knowledge of CI/CD tools and practices.

Experience with test-driven development (TDD) and automated testing frameworks.