QA Engineer - APAC
Remote · IndiaIndia & South Asia
We're the makers of Devin, the first AI software engineer. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world…
Open roles in Engineering teams, from every company on the board.
27 jobs found · Engineering
Remote · IndiaIndia & South Asia
We're the makers of Devin, the first AI software engineer. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world…
San Francisco (Hybrid)North America
We are moving the platform from Python and Airflow to Go services built around Postgres, and you’ll help build it.
Remote · IndiaIndia & South Asia
In this role, you will work closely with partner solution architects, delivery leads, and engineering teams to help them build repeatable offerings and internal…
San Francisco (Hybrid)North America
We are moving the platform from Python and Airflow to Go services built around Postgres.
We're looking for a Backend Engineer to help us evolve our commerce technology and build reliable, scalable services.
Hong Kong (Hybrid)China & Hong Kong
As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. In addition to core analytics engineering, you…
We're looking for an Engineering Manager II to lead a team of data and backend engineers within our Subscriptions Mission.
Own the AV experience across EMEA, including meeting rooms, boardrooms, common areas, labs, lounges, and digital signage
Remote · New York, NYNorth America
The work runs from video pipelines and serving infrastructure through mobile and web clients to rights systems, so engineers get real depth and range. Product, design…
Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform.
As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features.
This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale…