Description

Key Responsibilities

·  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.

Technical Requirements

·  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 (e.g., OpenTelemetry, 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)

Key Skills

Education

Bachelor's degree