Observability Engineering and Platform Reliability
JRD Systems
2 - 5 years
Bengaluru
Posted: 12/06/2026
Job Description
Application Support Engineer Observability & Platform Reliability
Job Description Summar
yWe 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, alerting accuracy, and operational reliability
.
Key Responsibiliti
esObservability & Monitoring (PRIMARY FOCU
- S)Design, implement, and maintain observability solutions using tools such as Splunk, Google Analytics, Bindplane, and Cloud-native monitoring too
- lsDevelop and optimize logging, metrics, and tracing strategies across applications and infrastructu
- reBuild and maintain dashboards, alerts, and anomaly detection mechanisms to proactively identify system issu
- esIntegrate telemetry data across multiple sources to improve end-to-end system visibili
- tyImprove signal-to-noise ratio in alerting and reduce alert fatigue through tuning and correlati
onApplication & Production Suppo
- rtTroubleshoot issues across application, infrastructure, and integration layers in production and non-production environmen
- tsSupport application health monitoring and drive improvements in system reliability and performan
- ceParticipate in incident response and root cause analysis using observability da
taAutomation & Platform Engineeri
- ngBuild and enhance automation using Ansible and scripting (Python/Bash) for observability deployment and manageme
- ntImplement observability components using Infrastructure as Code (Terraform, CloudFormation, etc
- .)Standardize observability patterns and reusable components across supported platfor
msCloud & Integrati
- onSupport applications hosted in AWS environments, including integration with telemetry and monitoring platfor
- msCollaborate with engineering teams to instrument applications for better observability (logs, metrics, trace
- s)Support third-party enterprise platforms (SAP, Oracle, Axway, Qlik) with observability integratio
nsOperational Excellen
- ceMaintain systems aligned with N1 patching standar
- dsDocument observability patterns, dashboards, alerting strategies, and operational procedur
- esContribute to continuous improvement initiatives focused on reducing MTTR and improving system insig
ht
Required Qualificati
- ons4+ years of experience in Application Support, Observability Engineering, or Systems Engineer
- ingHands-on experience with Splunk (requir
- ed)Experience with Google Analytics (GA/GA4) and/or Bindplane for telemetry collection and rout
- ingStrong experience with monitoring, logging, and observability concepts (metrics, logs, trac
- es)Hands-on experience with AWS environme
- ntsExperience with automation tools (Ansible preferr
- ed)Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or simil
- ar)Experience with incident management, troubleshooting, and root cause analy
- sisScripting experience (Python, Bash, or simil
ar)
Preferred Qualificat
- ionsExperience designing or improving enterprise observability framew
- orksExperience integrating multiple telemetry sources into centralized platforms (Splunk, e
- tc.)Experience with Bindplane for log/metric collection pipel
- inesFamiliarity with Google Analytics for user behavior / digital telemetry anal
- ysisExperience supporting COTS platforms (SAP, Oracle, Axway, Qlik) with monitoring instrumenta
- tionExposure to CI/CD pipelines and DevOps pract
- icesExperience with ServiceNow or ITSM t
- oolsUnderstanding of distributed systems and microservices observability challe
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