Splunk Architect​/SRE Architect

Job Description:

SRE Architect (Observability Focus)

Location: Charlotte, NC

Role Type: Full-Time Employee (FTE)

We are seeking a highly skilled SRE Architect to join our team in Charlotte, NC. This is a strategic role focused on maturing our Site Reliability Engineering (SRE) capabilities by bridging the gap between infrastructure management and high-performance application monitoring.

While our core Splunk infrastructure is maintained by the Central Information Security (CIS) team, you will act as the primary technical lead for implementing, optimizing, and scaling Splunk as an advanced Application Performance Monitoring (APM) and observability platform.

Splunk Integration & Configuration: Define and implement strategies for ingesting and processing application-specific telemetry (logs, metrics, and traces) into the existing Splunk environment.

Observability Architecture: Design and maintain robust monitoring frameworks that provide actionable insights into application health, performance bottlenecks, and user experience.

Custom Parameter Configuration: Map complex application-level parameters to Splunk dashboards, ensuring developers and SREs have granular visibility into microservices and application workflows.

Reliability Engineering: Drive the SRE culture by automating incident response, reducing Mean Time to Detection (MTTD), and improving Mean Time to Recovery (MTTR) through proactive observability.

Cross-Functional Collaboration: Partner with the CIS team to ensure that application-side configurations align with enterprise standards for performance, security, and data retention.

Performance Optimization: Analyze existing Splunk queries and data ingestion pipelines to optimize for speed, cost, and relevance in an application-monitoring context.

Splunk Proficiency: Deep expertise in Splunk (Search Processing Language - SPL), data modeling, dashboard creation, and configuration of Splunk App for Infrastructure/APM.

Application Monitoring: Strong understanding of distributed systems, microservices architectures, and how to instrument applications for observability (Open Telemetry, agents, SDKs).

Cloud & Infrastructure: Familiarity with cloud-native technologies (AWS/Azure/GCP) and container orchestration (Kubernetes/Docker) is highly preferred.

Automation: Scripting experience (Python, Bash, or Go) to automate configuration tasks and data pipelines.

SRE Principles: Proven experience in implementing Error Budgets, Service Level Objectives (SLOs), and Service Level Indicators (SLIs).