Yes, we run Kubernetes in production and yes we're using it for stateful workloads. We're primarily in GCP using GKE but have infra in AWS and Azure as well.
The successful candidate will have some degree of development expertise. Orchestration is done via an internally developed API and event-driven frameworks. We primarily use python and a little go. Minimally, a candidate must be able to develop the occasional feature, fix a bug, submit PRs, use git, etc.
The stuff we're doing is relatively cutting edge. Adaptability and willingness to learn are a must. For someone comfortable in a rapidly changing environment, there are many opportunities to take ownership and innovate.
Sight Machine is a SaaS company that operates an IIoT data pipeline and analytics platform for manufacturers.
Infrastructure Engineering develops the tooling and architecture necessary to run the infrastructure that underpins the platform.
The app stack: - python - celery - mongo - postgres
The tech stack - Kubernetes w/helm - EFK - Prometheus - Grafana - Jenkins
Yes, we run Kubernetes in production and yes we're using it for stateful workloads. We're primarily in GCP using GKE but have infra in AWS and Azure as well.
The successful candidate will have some degree of development expertise. Orchestration is done via an internally developed API and event-driven frameworks. We primarily use python and a little go. Minimally, a candidate must be able to develop the occasional feature, fix a bug, submit PRs, use git, etc.
The stuff we're doing is relatively cutting edge. Adaptability and willingness to learn are a must. For someone comfortable in a rapidly changing environment, there are many opportunities to take ownership and innovate.
Hit me up: halbritton at sightmachine dot com