You'll be using your operations skill, software crafting abilities, and teamwork to maintain and extend foundational technologies to provide highly available Kubernetes infrastructure that powers InfluxDB Cloud in 8 regions on every major cloud provider.
You'll join an awesome globally-distributed team, bringing experience in designing, implementing, and operating large-scale, multi-cloud, Kubernetes-backed infrastructure.
Your teammates work closely together to conquer projects together. They recently nurtured the adoption of SLOs throughout the engineering organization and have several proof-of-concepts running to test out theories and ideas. They’re curious, looking for the next challenge, and eager to welcome you aboard.
What you’ll do:
Operate and grow numerous Kubernetes clusters on Amazon, Google, and Azure platforms.
Improve operator and developer ergonomics at scale; iterate on and directly impact and influence the InfluxDB Cloud infrastructure.
Collaborate with tightly aligned teams to ensure their services are fast and resilient.
Embrace the challenge of multi-cloud complexity but plan to simplify and streamline our ops practice.
Mentor teammates on architecture, design, and best practices.
What you’ll need:
Experience running Kubernetes in production for at least 2 years.
Strong DevOps/Ops background. We are 100% Linux,
Proficiency with Terraform, immutable infrastructure, and familiarity with the GitOps configuration management model.
Hands-on, production-level experience with AWS, Google, or Azure. We use all three but do not expect you to have mastered them all.
Bonus if you've had experience:
Operating and being responsible for Kubernetes clusters used by other engineering teams.
Making data-driven observations and decisions to drive higher performance and reliability.
Being an incident lead, engaging multiple groups simultaneously to resolve critical problems.
Thriving in a remote-first, distributed team environment.
Familiarity with CNCF technologies such as Istio, Kafka, Elasticsearch, ArgoCD, CoreDNS, etcd, Prometheus, Jaeger, and Keda
Familiarity with kubeadm clusters: in other words, doing Kubernetes “the hard way”
InfluxData
