SRE Infrastructure Engineer

San Francisco, CA, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Independent
6 Months
Travel Required
On-site
$60 - $70/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SRE Infrastructure Engineer
  • Terraform
  • Python
  • GCP
  • Kubernetes

Summary

Position Code: 118094-1

Title: SRE Infrastructure Engineer

Location: SFO, CA (5 Days Onsite)

Contract - W2

Job Description:

We are seeking a SRE Infrastructure Resource having 8+ years of professional experience ensuring the reliability, scalability, and performance of Google Cloud-based services through automation, monitoring, and proactive engineering. Key responsibilities include managing infrastructure as code (Terraform), optimizing GKE/Kubernetes, incident response, and implementing SLIs/SLOs to minimize manual toil.

This role requires close collaboration with cross‑functional teams, adherence to DevOps and Agile practices, and ownership of service quality and delivery.


Key Responsibilities

  • Google Cloud Platform Infrastructure Management: Design, deploy, and maintain robust infrastructure components, including VPCs, Compute Engine, GKE (Kubernetes), and storage solutions.
  • Automation & IaC: Utilize Terraform or Deployment Manager to manage cloud resources and build CI/CD pipelines to automate deployments. Minimizing manual, repetitive tasks by developing automation scripts and custom tools to streamline deployments and operations.
  • Observability & Incident Management: Develop monitoring, alerting, and logging systems (e.g., Cloud Monitoring, Prometheus, Grafana). Act as primary on-call to troubleshoot production incidents.
  • Incident Management: Serving as a first responder for system outages and conducting deep-dive root cause analysis (post-mortems) to prevent recurrence
  • CI/CD Pipeline Management: Designing and supporting automated deployment pipelines using Jenkins, ArgoCD, Artifactory, DevSecOps, GitLab CI, or GitHub Actions
  • Reliability Engineering: Define and maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs) - Latency, Traffic, Errors, and Saturation
  • Optimization & Security: Proactively optimize infrastructure for cost, performance, and security compliance.
  • Site Reliability Engineer, Google Cloud Engine AI SRE at Google: Focus specifically on AI workload health, and GCE visibility

Mandatory Technical Skills & Competencies

·         Experience: 8+ years in SRE, DevOps, or systems engineering, specifically with Google Cloud Platform.

·         Technical Skills: Deep knowledge of Linux, Kubernetes (GKE), networking (VPCs, CDNs), and containerization.

·         Programming: Proficiency in scripting/programming languages like Python, Go, or Shell.

·         Methodologies: Strong understanding of GitOps, CI/CD pipelines, and SRE principles (error budgets, toil reduction)

·         Strong troubleshooting skills across the full stack (network, OS, application).

·         Ability to balance system stability with the need for rapid deployment.

·         Observability Tools: Experience implementing monitoring and logging stacks like Prometheus, Grafana, or the Google Cloud Operations Suite

·         Excellent collaboration skills to work with development teams for service ownership


Soft Skills

  • Strong problem-solving and analytical skills
  • Clear communication with technical and non‑technical stakeholders
  • Ownership mindset and production‑grade engineering discipline

Ability to work independently and within cross‑functional teams

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: 10468729
  • Position Id: 118094-1
  • Posted 5 hours ago
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VV

Vishnu Vishnu

Recruiter @ Applied Thought Auditors & Consultants Inc.
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