S
Site Reliability Engineer ( AWS ,Terraform, Unix, Systems programming)
Salary undisclosed
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Interview process: 2 rounds (via teams)
Title: Software Engineer (Reliability/Observability
Notes from our call:
Must haves:
- AWS
- Terraform
- Unix
- Systems programming
- Any scripting language
Job Description:
- 4-8 years of experience as an Infrastructure Engineer (E.g., Backend Engineer, Site Reliability Engineer, DevOps, Production Engineer, Platform Engineer)
- Experience designing and operating large-scale, multi-region production systems
- Experience working with AWS or other cloud infrastructures
- Experience with container schedules and runtimes such as Docker and Kubernetes
- Experience building deployment pipelines leveraging common CI/CD tools (e.g. Argo, Flux, Gitops)
- Experience with Infrastructure-as-Code (e.g. Terraform, Pulumi, Chef, Puppet, etc)
- Experience with networking and configuring / managing VPC networks
- The cross-functional nature of this role requires strong communication and collaborations kills
- (Preferred) Experience with running production services on bare-metal
- (Preferred) Experience with Typescript and Python
- (Preferred) Experience with observability tools like Prometheus, Grafana and Datadog
- (Preferred) Excellent understanding of web applications and architecture
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Apply by Email/Direct Application at
Interview process: 2 rounds (via teams)
Title: Software Engineer (Reliability/Observability
Notes from our call:
Must haves:
- AWS
- Terraform
- Unix
- Systems programming
- Any scripting language
Job Description:
- 4-8 years of experience as an Infrastructure Engineer (E.g., Backend Engineer, Site Reliability Engineer, DevOps, Production Engineer, Platform Engineer)
- Experience designing and operating large-scale, multi-region production systems
- Experience working with AWS or other cloud infrastructures
- Experience with container schedules and runtimes such as Docker and Kubernetes
- Experience building deployment pipelines leveraging common CI/CD tools (e.g. Argo, Flux, Gitops)
- Experience with Infrastructure-as-Code (e.g. Terraform, Pulumi, Chef, Puppet, etc)
- Experience with networking and configuring / managing VPC networks
- The cross-functional nature of this role requires strong communication and collaborations kills
- (Preferred) Experience with running production services on bare-metal
- (Preferred) Experience with Typescript and Python
- (Preferred) Experience with observability tools like Prometheus, Grafana and Datadog
- (Preferred) Excellent understanding of web applications and architecture
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job