Senior Backend Engineer - Streaming Data

Watching That is building the next generation analytics platform, currently used by the world’s biggest TV and video entertainment companies in the world.

If you've ever streamed your favourite TV shows or movies, then chances are Watching That's platform was a crucial and critical technology involved. We collect data from every ad and video view, across every device, in near real time. It allows customers to monitor, troubleshoot, and optimise all corners of their streaming revenue operations

Our customers rely on our technology and services to ensure they are maximising their revenues, providing a best in class viewing experience and being a major competitor in the world of streaming.

Founded by industry experts, Watching That is the independent monitoring and optimisation platform for streaming video. We are changing the game and empowering the streaming revolution. For more information, visit www.watchingthat.com

About the role:
As the Senior Backend Engioneer you will be responsible for maintaining and developing our streaming data pipeline and services.

Reporting into the VP of Engineering, you will code, test and submit pull requests daily. In the pursuit of excellence, you'll be the lead creator and maintainer of a high volume, real time data pipeline that's responsible for collecting, storing and reconstituting billions of video viewing sessions.

Working in a highly agile engineering environment, you will also be an integral part of the wider team, interfacing with Customer Success and the Product team to ensure we solve our customer requirements and product strategy objectives are achieved.

Our technology stack
Joining our team means you we will be working with, and exposed to some of the most advanced tooling available:

• NodeJS
• Docker
• Amazon Web Services
• Apache Kafka
• ElasticSearch

What you'll be doing

• Writing clean, efficient, performant, well documented and secure code for the high availablility, high bandwidth data pipeline of the Watching That platform;
• Providing input into the system and platform architecture;
• Working with the VP of Engineering to plan, prioritise and carry out your work;
• Exploring new ideas and suggesting improvements to overall development processes and
• Being an active member of a cross functional, highly collaborative team.

The Ideal Candidate
You are a passionate expert in the field of Backend Engineering, using your thorough understanding of the Kafka server , ElasticSearch database and big data programmatin concepts you'll take us to new heights and teach us something new.

You are also a passionate technologist, highly disciplined, finishing what you start and always pushing the boundaries of the possible.

And, given we value culture above all else at Watching That, you are a passionate human, able to communicate, listen, think and laugh. Whether offering informed opinions about our technical implementation or sharing a a hilarious GIF on Slack, you will not shy away from letting your voice be heard.

Use this check list to measure your fit to the role:

• 5+ years experience in a mid/senior level role using NodeJS;
• Proven data streaming / pipeline engineering experience;
• Experience working in a remote and agile startup environment (i.e. a team size less that 10 people);
• Experience with modern ML/Big Data design principles is a strong plus;
• Fluent in English - both spoken and written, with a particular strength in code documentation
• Experience working in Video and/or Ad Tech startups a strong plus;
• Experience with modern frontend technologies and API design/best practice is a nice to have;
• Experience collaborating within highly distributed teams is a plus;
• Located +/- 2hrs time difference from London, UK

You'll be successful if

• You are able to hit the ground running within your area of expertise;
• You noticed the missing ';' in the list above and it bothered you;
• You want to learn, and learn, and learn;
• And when you know it, you want to teach it;
• You can think creatively and critically, data is your best friend;
• You can push through ambiguity and confusion - you aren't shy about asking questions;
• You can take feedback onboard, taking the time to understand it and look to learn from it;