Site Reliability & DevOps Engineer; Mid-Level; Splunk, PagerDuty
Listed on 2026-10-30
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Site Reliability & Dev Ops Engineer (Mid-Level)
-Splunk, Pager Duty
Fairfax, United States | Posted on 09/28/2026
We are seeking a hands-on Site Reliability & Dev Ops Engineer to support, automate, and optimize our production infrastructure, monitoring pipelines, and incident management workflows. In this role, you will help manage log aggregation, tune proactive alerting, automate cloud infrastructure, and assist in integrating AI-assisted developer tooling into our daily operational workflows.
Key ResponsibilitiesIncident Response & Reliability:
Support on-call operations and incident lifecycle management using Pager Duty and Rundeck to streamline response times and reduce Mean Time to Resolution (MTTR).
Observability & Log Analytics:
Maintain centralized log aggregation, dashboards, and alerting rules across hybrid environments using Splunk and network monitoring tools (e.g., Zabbix, rsyslog).
Infrastructure Automation:
Write and maintain Infrastructure as Code (IaC) using Terraform and Ansible to manage containerized and virtualized environments (Docker, Proxmox/KVM, AWS).
Scripting & Tooling:
Develop custom automation scripts, internal API integrations, and maintenance tooling using Python , Bash/Shell , or Go .
AI Tooling Adoption:
Utilize modern AI development tools (e.g., Claude Code, Git Hub Copilot, local LLM endpoints) to accelerate internal engineering workflows and assist with operational automation.
Required Qualifications
3–6 years of experience in Dev Ops, Site Reliability Engineering (SRE), or Systems Administration.
Incident Management:
Strong hands-on experience setting up and managing services, schedules, and escalation policies in Pager Duty .
Observability:
Solid working knowledge of Splunk (writing SPL queries, creating dashboards, configuring log forwarders) and core telemetry tools.
Automation & CI/CD:
Practical experience with Terraform , Ansible , and containerization via Docker .
Scripting
Skills:
Proficiency in Python or Shell scripting for day-to-day task automation.
Operating Systems:
Strong proficiency with Linux administration and troubleshooting.
Experience with automated runbook tools like Rundeck .
Exposure to AI-assisted coding/ops workflows (e.g., Ollama, vLLM, or Model Context Protocol integrations).
Background in virtualized infrastructure (Proxmox, Xen, ESX) or cloud platforms (AWS).
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