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Senior Kubernetes Platform Engineer

InfluxData LogoInfluxData


Date Posted

20 Jul, 2022

Salary Offered

Not Specified

Job Type

Full Time

Experience Required

1+ years

Remote Work

Yes

Stock Options

No

Vacancies

1 available


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”

About InfluxData

InfluxData Logo

The platform for building and operating time series applications.

Company Size: 51 - 250 People
Year Founded: 2012
Country: United States

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