Description

Role description
We are seeking a hands-on Application Support Engineer with a strong focus on Observability Engineering and Platform Reliability to join the Technology Operations team. 
This role is responsible for designing, implementing, and optimizing observability solutions across cloud-based applications and infrastructure. The ideal candidate will bring experience with Splunk, Google Analytics (or Google Analytics 4), and/or Bindplane, along with a strong foundation in AWS, automation, and Infrastructure as Code (IaC). 
This role combines application support, observability engineering, and automation, with a focus on improving system visibility, telemetry quality, ing accuracy, and operational reliability.

Key Responsibilities

Observability & Monitoring (PRIMARY FOCUS) 
Design, implement, and maintain observability solutions using tools such as Splunk, Google Analytics, Bindplane, and Cloud-native monitoring tools 
Develop and optimize logging, metrics, and tracing strategies across applications and infrastructure 
Build and maintain dashboards, s, and anomaly detection mechanisms to proactively identify system issues 
Integrate telemetry data across multiple sources to improve end-to-end system visibility 
Improve signal-to-noise ratio in ing and reduce fatigue through tuning and correlation 
Application & Production Support 
Troubleshoot issues across application, infrastructure, and integration layers in production and non-production environments 
Support application health monitoring and drive improvements in system reliability and performance 
Participate in incident response and root cause analysis using observability data 
Automation & Platform Engineering 
Build and enhance automation using Ansible and scripting (Python/Bash) for observability deployment and management 
Implement observability components using Infrastructure as Code (Terraform, CloudFormation, etc.) 
Standardize observability patterns and reusable components across supported platforms 
Cloud & Integration 
Support applications hosted in AWS environments, including integration with telemetry and monitoring platforms 
Collaborate with engineering teams to instrument applications for better observability (logs, metrics, traces) 
Support third-party enterprise platforms (SAP, Oracle, Axway, Qlik) with observability integrations 
Operational Excellence 
Maintain systems aligned with N‑1 patching standards 
Document observability patterns, dashboards, ing strategies, and operational procedures 
Contribute to continuous improvement initiatives focused on reducing MTTR and improving system insight

Skills
Hands-on experience with Splunk (required) 
Experience with Google Analytics (GA/GA4) and/or Bindplane for telemetry collection and routing 
Strong experience with monitoring, logging, and observability concepts (metrics, logs, traces) 
Hands-on experience with AWS environments 
Experience with automation tools (Ansible preferred) 
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar) 
Experience with incident management, troubleshooting, and root cause analysis 
Scripting experience (Python, Bash, or similar) 

Preferred Qualifications 
Experience designing or improving enterprise observability frameworks 
Experience integrating multiple telemetry sources into centralized platforms (Splunk, etc.) 
Experience with Bindplane for log/metric collection pipelines 
Familiarity with Google Analytics for user behavior / digital telemetry analysis 
Experience supporting COTS platforms (SAP, Oracle, Axway, Qlik) with monitoring instrumentation 
Exposure to CI/CD pipelines and DevOps practices 
Experience with ServiceNow or ITSM tools 
Understanding of distributed systems and microservices observability challenges

Key Skills

Education

Any Graduate