More jobs:
Infrastructure Operations Engineer; Datacenter/SRE
Job in
Kirkland, King County, Washington, 98034, USA
Listed on 2026-03-03
Listing for:
Inabia Software & Consulting Inc.
Full Time
position Listed on 2026-03-03
Job specializations:
-
IT/Tech
Cloud Computing, Systems Engineer
Job Description & How to Apply Below
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
- 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
- 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
- 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
- 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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