Application Support Engineer – Observability & Platform Reliability

Bahwan CyberTek; Chennai District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Bahwan CyberTek in India seeks a hands-on Application Support Engineer with a strong focus on Observability Engineering and Platform Reliability to join the Technology Operations team. The role involves designing, implementing, and optimizing observability solutions across cloud-based applications and infrastructure.

Experience with Splunk, Google Analytics (GA4), Bindplane, AWS, automation, and Infrastructure as Code will help improve system visibility, telemetry quality, and operational

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, signals, 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 monitoring 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, and monitoring strategies, and operational procedures
• Contribute to continuous improvement initiatives focused on reducing MTTR and improving system insight

Job 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