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Infrastructure Operations Engineer; Datacenter​/SRE

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Inabia Software & Consulting Inc.
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Infrastructure Operations Engineer (Datacenter / SRE)

What Makes This Role Unique

We are specifically looking for engineers with:

  • Strong datacenter instincts and troubleshooting depth
  • High initiative and senior-level ownership
  • Comfort working independently in fast-moving environments
  • A mindset of automation-first execution
  • Enthusiasm for AI-assisted productivity tools to accelerate operational work
Key Responsibilities
  • Deploy and validate server racks in Service Now datacenters using existing automation workflows
  • Respond to Linux server and network infrastructure incidents with urgency and precision
  • Execute daily infrastructure operations, including dashboards and reporting

    Improve runbooks, SOPs, troubleshooting documentation, and operational playbooks
  • Execute orchestration workflows (e.g., Flow Designer calling Ansible, Python automation)
  • Leverage AI tools to improve speed, accuracy, and efficiency in operations work
Required Qualifications
  • 3–5+ years of experience in infrastructure operations, datacenter engineering, Dev Ops, or SRE roles
  • Strong Linux administration fundamentals
  • Hands-on experience with:
    • Networking basics (routing, switching, VLANs, DNS, firewalls, load balancing)
    • Automation/scripting (Python, Bash, Power Shell)
    • Tools such as Ansible, Terraform, or equivalent
  • Experience supporting on-prem hardware environments (rack/stack, lifecycle troubleshooting)
  • Proven ability to troubleshoot quickly under pressure
  • Clear written and verbal communication skills
Soft Skills (Critical for Success)
  • Highly self-directed; able to operate without micromanagement
  • Execution speed aligned with senior-level expectations
  • Positive, solutions-oriented attitude
  • Strong interest in leveraging AI tools to improve operational efficiency
  • Dependable team contributor who takes ownership
Nice to Have
  • Experience with AWS, Azure, or GCP environments
  • Exposure to CI/CD pipelines, build systems, or test automation
  • Knowledge of distributed systems or hyperscale datacenter operations
  • Familiarity with Service Now Flow Designer, CMDB, or incident workflows
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