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Software Engineer Observability Platform

  • Source: Naukri
  • Allegis Global Solutions (AGS)
  • $15,641.29 to $31,282.58 /yr
  • Remote
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Job Description

Software Engineer Observability Platform

Job Summary (location: Remote)

We are seeking an experienced Software Engineer Observability Platform with 57 years of hands-on experience in designing, implementing, and operating enterprise-scale observability solutions. The ideal candidate is passionate about building reliable, scalable, and highly available platforms that enable engineering teams to proactively monitor applications and infrastructure.

You will work closely with Software Engineering, DevOps, Site Reliability Engineering (SRE), Cloud Engineering, and Operations teams to implement modern observability practices across cloud and on-premises environments. This role requires strong expertise in Grafana and the observability ecosystem, DevOps practices, cloud platforms, and incident management solutions.

Key Responsibilities

  • Design, develop, and maintain enterprise-grade observability platforms for applications and infrastructure.
  • Build comprehensive monitoring solutions using metrics, logs, traces, and synthetic monitoring.
  • Develop intuitive dashboards, alerts, and health reports for engineering and business stakeholders.
  • Define and implement SLIs, SLOs, and error budgets to improve service reliability.
  • Configure intelligent alerting to reduce alert fatigue and improve operational efficiency.
  • Automate monitoring, reporting, and operational tasks using Python or similar scripting languages.
  • Collaborate with development teams to instrument applications using OpenTelemetry and other observability standards.
  • Support production environments by troubleshooting performance, reliability, and availability issues.
  • Implement monitoring-as-code and Infrastructure-as-Code (IaC) best practices.
  • Work with SRE and DevOps teams to improve system resilience, scalability, and operational excellence.
  • Integrate observability platforms with incident management and IT operations tools.
  • Continuously evaluate and adopt new observability technologies and industry best practices.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5–7 years of professional software engineering or platform engineering experience.
  • Strong hands-on experience with Grafana and modern observability platforms.
  • Experience implementing end-to-end observability using:

  • Metrics
  • Logs
  • Distributed Tracing
  • Synthetic Monitoring

  • Strong knowledge of:

  • Prometheus
  • Loki
  • Tempo
  • OpenTelemetry

  • Experience working with Grafana Cloud or self-managed Grafana environments.
  • Strong understanding of DevOps methodologies and CI/CD pipelines.
  • Hands-on experience with Git-based development workflows.
  • Proficiency in Python for automation and tooling.
  • Experience with Linux environments and shell scripting.
  • Experience with REST APIs and integration patterns.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written communication skills.

Cloud Skills

Hands-on experience with one or more public cloud platforms:

  • Google Cloud Platform (GCP)
  • Amazon Web Services (AWS)
  • Microsoft Azure (Good to Have)

Experience with:

  • Kubernetes
  • Docker
  • Cloud-native monitoring
  • Managed Kubernetes services (GKE, EKS)
  • Cloud networking fundamentals
  • Cloud security best practices

Good to Have

Experience with one or more of the following:

  • PagerDuty
  • ServiceNow ITOM
  • ServiceNow Event Management
  • Incident Management integrations
  • AIOps platforms
  • Terraform
  • Helm
  • Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
  • Kafka or other messaging platforms
  • Elasticsearch / OpenSearch
  • AppDynamics, Dynatrace, Datadog, or New Relic
  • Java, Go, or other programming languages
  • Site Reliability Engineering (SRE) practices
  • Capacity planning and performance engineering

Preferred Competencies

  • Strong customer-first mindset.
  • Ability to work independently and drive technical initiatives.
  • Passion for automation and continuous improvement.
  • Excellent collaboration across globally distributed teams.
  • Ability to mentor engineers and promote engineering best practices.
  • Strong ownership and accountability.
  • Experience leading technical discussions and architecture reviews.

Skills

  • Grafana
  • Python
  • opentelemetry
  • Prometheus
  • loki
  • google-cloud-platform
  • amazon-web-services
  • microsoft-azure
  • Kubernetes
  • Docker
  • pagerduty
  • Servicenow
  • servicenow-event-management
  • Terraform
  • helm
  • Jenkins
  • Github
  • github-actions
  • gitlab
  • gitlab-ci
  • azure-devops
  • Kafka
  • Elasticsearch
  • opensearch
  • appdynamics
  • dynatrace
  • datadog
  • new-relic
  • Java
  • Golang

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