Senior Infrastructure Operations Engineer (Datacenter /...

Senior Infrastructure Operations Engineer (Datacenter / SRE) Location:  Onsite 100% – Santa Clara, CA (Preferred). Also open to Kirkland, WA or San Diego, CA Rate: W2$54.00/hr. – Santa Clara, $48.00/hr. – Kirkland / San Diego Work Setup: Onsite Only Work Authorization: U.S. Citizen or Green Card, No sponsorship available for this position About the Role Through our partnership with Accenture, their Global Cloud Services Capacity Engineering organization is seeking a Senior Infrastructure Operations Engineer to support critical datacenter operations and real-time infrastructure execution. This is a hands-on, senior-level role for engineers who thrive close to the hardware and enjoy solving operational challenges at scale, including: Linux and network incident response Rack deployment and infrastructure provisioning Automation-first datacenter operations This is not a monitoring-only or ticket-routing position. It is built for engineers who operate with speed, confidence, and independence in production environments. 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 ServiceNow 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 Growth Path Opportunities High performers will have the opportunity to expand into: DevOps build and test pipeline automation Infrastructure-as-code improvements Development of scripts, modules, and automation routines (Python, Bash, Ansible) Contributions to holistic automated test frameworks supporting product engineering Longer-Term Potential This role offers exposure to large-scale cloud infrastructure evolution, including: Hyperscaler automation development (AWS / Azure / GCP) Internal cloud and infrastructure product engineering Enhancements to enterprise automation frameworks Required Qualifications 3–5+ years of experience in infrastructure operations, datacenter engineering, DevOps, or SRE roles Strong Linux administration fundamentals Hands-on experience with: Networking basics (routing, switching, VLANs, DNS, firewalls, load balancing) Automation/scripting (Python, Bash, PowerShell) 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 ServiceNow Flow Designer, CMDB, or incident workflows Why Join Inabia? Inabia Solutions & Consulting is a premier IT Consulting and Managed Service firm supporting high-impact infrastructure and cloud engineering programs. When you join Inabia, you gain: Access to elite enterprise datacenter initiatives Hands-on operational ownership inside a world-class cloud organization A culture that values automation, execution excellence, and growth A pathway into DevOps, infrastructure automation, and hyperscale engineering  

Created: 2026-03-04