Principal Software Engineer (MTS4) - Golang, Python

Nielsen; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company dedicated to shaping the future of media through innovative technology and insights. This role involves developing cutting-edge content recognition engines that measure streaming video and commercials. Collaborate with a dynamic team of skilled developers to enhance a high-resolution content identification system. You will leverage your expertise in GoLang, Python, and AWS technologies to build microservices that drive Television Audience Measurement. If you thrive in a culture of curiosity and innovation, this opportunity is perfect for you, allowing you to make a significant impact in the media landscape.

Qualifications

• 7+ years of experience in programming back office services.
• Skilled in GoLang and fluent in Python.

Responsibilities

• Develop and refine a high-resolution content identification system.
• Build and maintain microservices for content identification services.

Skills

GoLang

Python

Critical Thinking

Problem Solving

Hashing Data

Education

Bachelor's degree in Computer Engineering

Tools

Kubernetes

Pulumi

Terraform

AWS S3

AWS SQS

AWS EC2

AWS RDS

Airflow

Job description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Ever wonder how Nielsen figured out that 127.3 million people tuned in to watch Super Bowl LVIII? That's what we do here. Come and join our team of professionals and together we will build a cutting-edge Television measurement system. On this specialized team, we will use a combination of technology, curiosity and culture to empower our teams and people to be successful and focused on delivering highly reliable and accurate systems. Our focus will be to develop and deliver content recognition engines used in measuring streaming video, commercials, and broadcast TV.

Language requirements: GoLang, Python

Technical skills: Kubernetes, Pulumi, Terraform

Knowledge of specific systems: AWS S3, SQS, EC2, RDS

Responsibilities

• The duties of this position include the development and refinement of a high-resolution content identification system used in the identification of television programs and commercials. You will be working on a scrum team with other skilled developers sharing best practices and exploring new technologies and algorithms that will advance the excellence of our measurement.
• You will build and maintain microservices that power the content identification services used in Television Audience Measurement. These microservices run in AWS and consume and process data using advanced algorithms that are tuned for efficiency.
• You will also be responsible for the efficient use of AWS resources on our projects. Critical thinking and innovation are highly valued on this team and everyone is expected to think out of the box, bring new ideas and to challenge what we do and how we are doing it.

Qualifications

• Bachelor's degree in Computer Engineering or related field (or equivalent experience).
• 7+ years of experience in programming back office services.
• Skilled in GoLang and fluent in Python.
• Skilled in AWS Programming APIs for S3, SQS.
• Experienced in Kubernetes.
• Experienced in writing Infrastructure as code: Pulumi and/or Terraform.
• Experienced in Operating and writing Airflow DAGs. Has fundamental skills in Signal Processing - FFT, Nyquist cutoff, etc.
• Strong skills in Hashing data and working with large hash tables.
• Having past experience of working efficiently with large data sets.
• Strong abstract reasoning and problem-solving skills.
• Demonstrate the ability to perform a root cause analysis.