This is a Technical Analyst role with a Site Reliability focus — a position that intentionally walks the line between engineer and analyst. The ideal candidate has a technology background, is articulate, understands data, and can wield tooling, while bringing the analytical discipline to take all of the logging, alerts, and telemetry the organization has built and turn it into a process. The Technical Analyst is responsible for building and maintaining the observability framework across vendor-managed and internal platforms, defining SLO/SLA measurement strategies, driving MTTR reduction, leading incident response, and ensuring platform reliability at enterprise scale. This role sits as the connective tissue between observability engineering, internal development teams, and business stakeholders — pulling telemetry together, establishing metrics, and driving the improvement process that holds system owners accountable for resilience. AI is a core part of the operating model — not an add-on. The Technical Analyst is expected to understand our technology stack and actively leverage AI and AIOps tooling to enhance, demonstrate, and fix issues — automating incident triage, correlating alerts, generating runbooks, accelerating root cause analysis, and driving self-healing remediation — so engineers don’t get paged at 2am for problems AI can resolve. The role combines observability expertise with a passion for AI-assisted operations, strong analytical thinking, and the ability to translate platform telemetry and end-user experience signals into actionable business outcomes.  The ideal candidate will live within driving distance of the Omaha, Nebraska office. This position allows remote flexibility but will have 1 day per week in the office. What you'll do: - Integrate and align enterprise observability across vendor-managed and internal platforms — accountable for ensuring monitoring conforms to the reliability policies, SLO/SLA targets, and MTTR goals this role defines and drives (not for designing the underlying tooling)  - Own the service dependency map and asset criticality model — identify tier-1 assets, how they fail over, how they connect, and where single points of failure live.  - Establish end-user experience monitoring — detect when the member or provider experience breaks, not just when infrastructure telemetry alerts  - Leverage AI and AIOps tooling for incident triage, root cause analysis, automated runbook execution, predictive anomaly detection, alert correlation, and self-healing remediation.  - Define and track SLOs for platform reliability — availability, latency, error rates — into business-aligned targets and error budgets.   - Build and maintain MTTR and reliability dashboards — platform health, incident trends, perfect-day streaks, vendor SLA compliance.  To be considered for this position, you must have: - 3+ years of experience in Site Reliability Engineering (SRE), infrastructure engineering, platform operations, DevOps, or a related technical operations role supporting enterprise systems.  - Hands-on experience with enterprise observability and monitoring platforms, vent management, ITSM/ticketing systems, operational dashboards, and at least one scripting language such as Python, PowerShell, or Bash; experience with AI/AIOps tools, telemetry, logs, traces, alert correlation, and incident response processes is strongly preferred.  - Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent combination of education and experience), plus strong communication, analytical problem-solving, and working knowledge of ITIL fundamentals including incident, change, and problem management.  The strongest candidates for this position will also possess: - Experience with SRE, DevOps, cloud, or observability certifications; healthcare payer or health plan environments; Agile/Scrum delivery; and partnering with engineering teams to translate reliability work into backlog items and sprint-ready user stories.  - Experience with AI/ML operations tooling, CI/CD pipelines, infrastructure-as-code, CMDB or service dependency mapping, log aggregation or SIEM platforms, distributed systems reliability, chaos engineering, and report/dashboard authoring or data modeling.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Other duties may be assigned.  Ready to make an impact? Join a team where your skills, attitude, and ideas are valued—and where you’ll help shape the future of healthcare technology.