Our Client is a small team of engineers funded by Tier-1 US VCs, working with large UK & US-based platforms as clients. They have strong relationships with Vector Databases and Data infrastructure companies who are excited to work with them as they connect them to each other.
We follow the Linear Method talk to users daily and focus on solving their problems. They are remote-first, but their engineers work 2 days a week from the office.
Deployment service
Compile Our Client’s framework elements to IaaS code that can deploy, scale and monitor the services that are necessary to process millions of vectors at scale and recalculate embeddings when the configuration changes.
Own the production constraints
You will establish best practices and processes that will ensure that every developer works with constraints in place that makes creating production ready code as close to reality as possible.
Package into the GCP/Databricks Marketplace
Some of their largest clients need to run in their cloud platform account, instead of using our hosted version. You would fully own the process of packaging and configuring the cloud platform to offer something as close as possible to a 1-click install similar
Devops
Help form the basics of DevOps to ensure continuous integration and delivery across all branches of development.
Elvárások / Requirements
Our Client is wants to work with competent people who value their results, their craft and their colleagues.
You have worked and performed well in a remote-first job before
You are a senior engineer
You want to join an early stage, high-growth startup
You have worked with multiple cloud providers (AWS, GCP, Azure) and have written IaaS solutions before (Terraform). You have experience in Python and have worked with MLOps solutions in the past (MLFlow, Airflow, Weight&Biases, CometML). You are keen on establishing an automated pipeline (Github Actions, Coverage Reporting, Docker). And you are on high level in Kubernetes.
Amit nyújtunk / Benefits
Competitive salary and generous equity to directly participate in the success of Our Client.
Every 3-6 months they book out a co-living space in an interesting location and work together for a week (Mallorca, Montenegro, Balaton, Istanbul, etc).
Cool Tools: Latest productivity software like Linear, Notion, Github, OpenAI.
DevOps MLOps Google Cloud Platform (GCP) Docker Python Airflow MLflow Kubernetes Terraform Amazon Web Services (AWS) GitHub Actions Azure