Observability Engineering and Platform Reliability

Application Support Engineer Observability & Platform Reliability Job Description Summar We are seeking a hands-on Application Support Engineer with a strong focus on Observability Engineering and Platform Reliabilit y to join the Technology Operations team. This role is responsible for designing, implementing, and optimizing observability solution s across cloud-based applications and infrastructure. The ideal candidate will bring experience with Splunk, Google Analytics (or Google Analytics 4), and/or Bindplan e, along with a strong foundation in AWS, automation, and Infrastructure as Code (IaC).This role combines application support, observability engineering, and automatio n, with a focus on improving system visibility, telemetry quality, alerting accuracy, and operational reliabilit y. Key Responsibilities: Observability & Monitoring (PRIMARY FOCUS) Design, implement, and maintain observability solutions using tools such a s Splunk, Google Analytics, Bindplane, and Cloud-native monitoring tools. Develop and optimiz e logging, metrics, and tracing strategi es across applications and infrastructure. Build and maintai n dashboards, alerts, and anomaly detection mechanis ms to proactively identify system issues. Integrate telemetry data across multiple sources to improv e end-to-end system visibility Improve signal-to-noise ratio in alerting and reduce alert fatigue through tuning and correlation. Application & Production Support Troubleshoot issues acros s application, infrastructure, and integration laye rs in production and non-production environments. Support application health monitoring and drive improvements i n system reliability and performance. Participate in incident response and root cause analysis using observability data Automation & Platform Engineering Build and enhance automation usin g Ansible and scripting (Python/Bas h) for observability deployment and management. Implement observability components usin g Infrastructure as Code (Terraform, CloudFormation, etc.) Standardize observability patterns and reusable components across supported platforms. Cloud & Integration Support applications hosted i n AWS environmen ts, including integration with telemetry and monitoring platforms Collaborate with engineering teams to instrument applications fo r better observability (logs, metrics, traces) Support third-party enterprise platforms (SAP, Oracle, Axway, Qlik) with observability integrations Operational Excellence Maintain systems aligned wit h N1 patching standards Document observability patterns, dashboards, alerting strategies, and operational procedures Contribute to continuous improvement initiatives focused o n reducing MTTR and improving system insight. Required Qualifications 4+ years of experience in Application Support, Observability Engineering, or Systems Engineering Hands-on experience wi th Splunk (required) Experience wi th Google Analytics (GA/GA4) and/or Bindplane for telemetry collection and routing Strong experience wi th monitoring, logging, and observability concepts (metrics, logs, trac es)Hands-on experience wi th AWS environments Experience with automation tools (Ansible preferred) Hands-on experience wi th Infrastructure as Code (Terraform, CloudFormation, or similar Experience wi th incident management, troubleshooting, and root cause analysis Scripting experience (Python, Bash, or similar) Preferred Qualifications Experience designing or improv ing enterprise observability frameworks Experience integrating multiple telemetry sources i nto centralized platforms (Splunk, etc.) Experience w ith Bindplane for log/metric collection pipelines Familiarity w ith Google Analytics for user behavior / digital telemetry analysis Experience support ing COTS platforms (SAP, Oracle, Axway, Qlik) with monitoring instrumentation Exposure to CI/CD pipelines and DevOps practices Experience w i .