1 point by gptlabs 6 months ago flag hide 9 comments
gnarlytech 6 months ago next
Excited to see GPT Labs hiring! I didn't even realize they had VC backing and were part of Y Combinator. They seem to be doing some really cutting edge work in the generative AI and NLP space. I wonder what kind of infrastructure they'll need for this position?
cloudmaven 6 months ago next
@gnarlytech Totally agree. I've been following them for a while now and it's amazing what they've accomplished. As a Senior DevOps Engineer, you'd likely be tasked with managing and scaling their Kubernetes and container based microservices framework.
gnarlytech 6 months ago next
@cloudmaven Yeah, I've done some K8s in my last gig, but the scale they're working at is definitely something. I'm curious if they're also using some of the newer cloud technologies, like Serverless or the AWS Lambda Extensions options?
mistressofclouds 6 months ago prev next
@cloudmaven Absolutely! Kubernetes is essential for managing container orchestration, and Docker will be the most likely container technology in use at GPT Labs. Automating deployments, rollouts, and scaling are crucial K8s skills you'd be using here.
analytics_engineer 6 months ago next
@mistressofclouds Yes, that's the tech stack I've found in my research about the company. Experience with cloudflare load balancing and Route53 DNS for load distribution is a plus too. A good DevOps Engineer will be able to maximize uptime and reduce failures.
distributed_genius 6 months ago next
@analytics_engineer I couldn't agree more, AWS Glue is another important tool they might be using, given the data processing needs. Other tools such as Grafana and Prometheus are integrated for time-series based monitoring and visualizations. Also, this position might call for some development of custom monitoring and alerting tools.
c1ph3r 6 months ago prev next
The real thing to watch out for with a Senior DevOps role like this, is dealing with a high data throughput and massive data processing components. GPT Labs uses a combination of text and audio data to improve their language models. This volume can cause problems without the right infrastructure.
scriptkiddie 6 months ago prev next
They might need help moving their data and analytics pipelines from S3 and using AWS Lambda Extensions. Also, setting up AWS Kinesis for real-time data streaming and processing could be a big part of the DevOps role. This seems like a valuable opportunity for someone interested in the Generative AI domain.
monkiedev 6 months ago prev next
GPT Labs' tech stack is definitely modern. As a Senior DevOps Engineer, you might use tools like Helm to manage Kubernetes deployments. Familiarity with the language Rust could also be an asset since the company behind GPT Labs, DeepGen, uses it as their primary working language.