SRE/Observability Engineer | Splunk Exp

ApTask; Bengaluru; Remote; INR 4,000,000 - 6,000,000; Full time

Job summary

ApTask is seeking an Observability Engineer to design and manage enterprise observability platforms across Kubernetes and cloud environments. You will implement metrics, logs, traces, and events with dashboards, SLOs, and alerting rules to support proactive incident response and reliability engineering practices.

The role requires strong experience with Prometheus, Grafana, Splunk/OpenSearch/Elastic, and automation via IaC and CI/CD pipelines. Remote work options available.

Qualifications

• 6+ years of experience in Platform Engineering, SRE, DevOps, Cloud Operations, or Observability Engineering.
• Strong expertise in monitoring, logging, alerting, and distributed tracing tools.
• Hands-on with Kubernetes, cloud environments, and automation tooling.

Responsibilities

• Design, implement, and maintain enterprise observability platforms covering metrics, logs, traces, and events.
• Build observability solutions using Prometheus, Grafana, OpenSearch, Splunk, Elastic, Datadog, Dynatrace, New Relic, or equivalents.
• Develop dashboards, SLOs, SLIs, alerting rules, and service health monitoring frameworks.
• Integrate monitoring within Kubernetes and cloud-native environments; enable incident management and RCA.

Skills

Prometheus & Grafana

Splunk/OpenSearch/Elastic

Kubernetes

AWS/Azure/GCP

SRE/DevOps practices

Python/Shell scripting

Terraform

Jenkins

GitHub Actions

Argo CD

Jaeger

OpenTelemetry

Datadog

New Relic

Dynatrace

Tools

Jaeger

Tempo

OpenTelemetry

Dynatrace

Datadog

New Relic

OpenSearch

Job description

Location: Remote

Note: In-Person Interview Required

Exp - Min 6+ Years

Shift Timings – 12 pm – 10 PM IST.

Must - Splunk, Observability and AIOps Strong Experience Required.

Role Summary

We are looking for a hands-on Observability Engineer with strong experience in cloud-native platforms, monitoring, logging, alerting, and operational excellence. The ideal candidate will have experience building and managing enterprise observability solutions across Kubernetes and public cloud environments, enabling proactive monitoring, incident response, and reliability engineering practices.

Key Responsibilities

Design, implement, and maintain enterprise observability platforms covering metrics, logs, traces, and events. Build observability solutions using tools such as Prometheus, Grafana, OpenSearch, Splunk, Elastic, Datadog, Dynatrace, New Relic, or equivalent platforms. Develop dashboards, SLOs, SLIs, alerting rules, and service health monitoring frameworks. Integrate monitoring and observability capabilities within Kubernetes and cloud-native environments. Enable incident management, root cause analysis, and operational troubleshooting through observability best practices. Automate monitoring configuration and platform onboarding using Infrastructure-as-Code and CI/CD pipelines. Collaborate with engineering, platform, SRE, and operations teams to improve reliability, performance, and availability. Support observability maturity initiatives including distributed tracing, AIOps, and intelligent alerting.

Required Skills:

• 6+ years of experience in Platform Engineering, SRE, DevOps, Cloud Operations, or Observability Engineering.
• Strong expertise in: Prometheus Grafana Splunk / OpenSearch / Elastic Distributed tracing solutions (Jaeger, Tempo, Open Telemetry, etc.)
• Good understanding of Kubernetes, Docker, and containerized workloads.
• Experience with AWS, Azure, or GCP environments. Knowledge of incident management, alert tuning, and troubleshooting production environments.
• Experience with scripting and automation using Python, Shell, or similar languages.
• Familiarity with CI/CD and Infrastructure-as-Code tools such as Terraform, Jenkins, GitHub Actions, or Argo CD.
• Preferred Skills Exposure to SRE practices, error budgets, SLO/SLI frameworks.
• Experience with AIOps, automated remediation, or intelligent incident response. Knowledge of Open Telemetry implementation.
• Working experience in enterprise-scale production platforms. Exposure to security and governance considerations in cloud-native environments.