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Engineering / Media / Technology
Engineering Manager (Gracenote) Full Time
About us:
Gracenote, the content data division of Nielsen, powers innovative entertainment experiences for leading media companies worldwide. Our advanced entertainment metadata and connected IDs enable seamless content navigation and discovery, helping consumers connect to the content they love and explore new favorites. With a global presence, Gracenote delivers both global and localized video, audio, automotive & sports content solutions across the Americas, Asia-Pacific, Europe, the Middle East, and Africa. Some of the biggest names who trust Gracenote are Jio, Amazon, NBC, BMW, Mercedes-Benz, Samsung, Sony etc. We are seeking a highly skilled and experienced Engineering manager to join our innovative team. The ideal candidate will bring deep expertise in designing and implementing scalable, high-performance systems, particularly in the domains of media data processing, web crawling, and metadata curation and serving. This role involves technical leadership, people management, engineering and operational excellence and collaboration across teams to deliver impactful solutions to media companies and other stakeholders.
What is in it for you ?
We are setting ourselves to modernise the metadata processing pipelines through platformization and build intelligent solutions using data science for Video, Audio, Automotive and Sports. Be part of high impact and visibility projects which are going to be key revenue drivers for Gracenote. Contribute to the next-gen metadata platforms which combine technology, data science and innovation.
Key Responsibilities :
- They are responsible for building high-performing agile teams
- They set the direction for the team and support people in their career growth. They are responsible for talent segregation and succession planning
- Provide technical leadership to identify and define the right component/system abstractions/capabilities for current/future product/platform tasks
- Drive strategy and vision in collaboration with Product
- Build scalable and reliable technology solutions at a rapid pace
- One of the key responsibilities of an EM is to understand business goals and contribute to product strategy and take accountability for moving key business metrics
- They are also responsible for driving execution using Agile methodologies by removing impediments along the way with the big picture in mind
Required Skills and Expertise:
- Strong expertise in one or more programming languages such as Java, Python, Golang
- Experience with databases like Postgres, MySQL, MongoDB, Cassandra, and caching layers such as Redis or Memcached.
- Expertise in designing and implementing diverse data delivery solutions, including real-time streaming architectures, efficient batch processing systems, and robust API delivery mechanisms.
- Proficiency in building RESTful APIs and working with GraphQL to serve metadata efficiently.
- Knowledge of cloud ecosystems (AWS, Azure, GCP) and cloud-native architectures for scalable deployments.
- Exposure to NFR concepts like availability, recoverability, performance & scalability.
- Exposure to different design & architecture patterns.
- Demonstrated ability to design distributed systems with high availability and fault tolerance.
- Understanding of software development methodologies (Agile, Scrum, etc.).
- Web Crawling: experience with web crawling frameworks such as Apache Nutch, Scrapy, or custom crawlers using Java/JavaScript.
- Experience with big data frameworks like Apache Spark, Hadoop, or Flink for processing and transforming large-scale datasets.
- Expertise in designing systems for curated metadata storage, search, and delivery using relational and NoSQL databases.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science,Engineering, or a related field.
- 10+ years of software development experience,including 2+ years in people management role
- Strong understanding of algorithms, data structures, and system design principles.
- Experience in delivering end-to-end solutions for web crawling, data processing, and metadata curation.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced environment.
- Strong communication skills with the ability to convey complex technical concepts to diverse audiences.
Preferred Qualifications:
- Experience in using GenAI tools for code creation, video and voice data processing.
- Experience with Natural Language Processing (NLP) and Machine Learning (ML) techniques to analyze and extract insights from large-scale datasets
- Understanding of security best practices for data protection and system integrity.