Site Reliability Engineer

2 weeks ago

Sealy, United States Pinnacle Group Full time

Job Details:4



Submit your CV and any additional required information after you have read this description by clicking on the application button.

  • Excellent Python, bash, and scripting fundamentals
  • Expertise with AWS/GCP cloud platform
  • Expertise with infrastructure-as-code tools such as Terraform, Cloud Deployment Manager, Ansible, or Chef.
  • Experience in building systems where observability is a first-class concern using protocols and tools that cover the space of log aggregation, analytics, monitoring, distributed systems tracing and alerting
  • Experience with containerization and cluster management technologies like Docker, Kubernetes and EKS.
  • Familiarity with microservices architecture and container orchestration with Kubernetes
  • Experience in designing and managing a predictive alerting platform using monitoring tools such as Prometheus, Grafana, Cloud monitoring, Splunk.
  • Proficient at Linux system administration
  • Experience with modern web services architectures
  • Experience with Git
  • Expertise in Kubernetes – probably certified.
  • Able to build tools from scratch when needed.
  • Ability to quickly learn new and existing technologies.
  • Strong problem solving skills

Responsibilities:

Implement features that enable customer engineers to easily enable and configure Kubernetes and Infrastructure capabilities.

For example:

* Adding a `datadog: true` flag to our `cluster.yaml` configuration file. When enabled, this ensures that Datadog agents are installed and configured properly for this cluster.

* Modifying an image build process from x86-only to also support ARM

* Building a tool to provision AWS Managed Prometheus

A stellar candidate will be able to share experience:

* Managing infrastructure in production with Terraform, Pulumi, or a similar tool

* Developing Kubernetes components in Golang, like Operators or Admission Controllers

* Independently troubleshooting and resolving issues related to Kubernetes and Cloud infrastructure (AWS, GCP, etc).

Pay Range: $75-95

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

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