Software Engineer, Back End - Video Generation; Tech Lead Level

About the job

Welcome to the video first world
. From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and  you’re reading this and nodding, check out our brand video
.

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now....

We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently.

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2
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In February 2024, G2 named us as the fastest growing company in the world. Today, we’re at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

• This role sits within our Video Platform team building out and maintaining critical infrastructure powering Synthesia's video generation capabilities.

• You will focus on improving the resilience and scalability of our video generation pipeline.

• You will build comprehensive monitoring and debugging tools for the video pipeline.

• You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively.

• You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary.

• You will consider the long‑term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6‑12 months' time.

• At least seven (7) years of experience as a software engineer, at least 2 on the lead level.

• You have experience in a high‑performing engineering team that is operating s could come from a scale‑up environment or a more established organisation recognised for building and shipping with a great engineering culture.

• An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. We used Python on our Backend and React on our Frontend.

• Strong AWS experience.

• Platform engineering experience with a proven track record of building internal platforms used by multiple teams.

• Strong alignment with commercial success.

• Previous leadership experience of smaller teams.

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why.

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible.

You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500).

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in‑house, by a team of world‑class AI researchers and engineers. Learn more about our AI Research Lab and the team…