Site reliability Engineer

Hybrid in Bellevue, WA, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Amazon Web Services
Kubernetes
Microsoft Azure
Google Cloud Platform
DevOps
Grafana
Jenkins
Docker
Cloud Computing
Terraform

Summary

Job Summary 
As a Site reliability Engineer, you will be responsible for designing, implementing, and maintaining cloud infrastructure across AWS, Google Cloud Platform, and/or Azure. You will work closely with engineering and data teams to support scalable applications and data platforms while ensuring reliability, security, and cost optimization.
 Key Responsibilities

Design, provision, and manage cloud infrastructure across AWS, Google Cloud Platform, and/or Azure

Build and maintain Infrastructure-as-Code (IaC) using Terraform or similar tools

Deploy and manage containerized applications using Kubernetes and Docker

Implement CI/CD pipelines and automate deployment processes

Monitor system performance and maintain observability using tools like Grafana, Prometheus, or CloudWatch

Ensure security best practices including IAM, network security, and secrets management

Configure networking components such as VPCs, load balancers, and DNS

Automate operational tasks using scripting languages like Python or Bash

Collaborate with cross-functional teams to support application and data infrastructure needs

Required Skills & Experience

Experience with at least one cloud platform (AWS, Google Cloud Platform, or Azure)

Hands-on experience with Kubernetes and containerization

Strong knowledge of Infrastructure-as-Code tools (Terraform preferred)

Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.)

Familiarity with monitoring and logging tools

Scripting experience (Python, Bash, or similar)

Understanding of networking and security fundamentals

Preferred Qualifications

Experience working in multi-cloud environments

Exposure to FinOps or cloud cost optimization practices

Knowledge of data platforms or data pipeline infrastructure

Familiarity with GitOps practices and tools like Argo CD

Tech Stack (Varies by Project)

Cloud: AWS, Google Cloud Platform, Azure

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Containers: Kubernetes, Docker, Helm
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IaC: Terraform, CloudFormation
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CI/CD: GitHub Actions, Jenkins, GitLab CI

Monitoring: Grafana, Prometheus, CloudWatch, Splunk

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Languages: Python, Bash
```

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.

Dice Id: 10360765
Position Id: 25-69791
Posted 1 day ago

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