ELK Stack / Observability Engineer (Kubernetes & GCP)

Softility; Hyderabad; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

A technology solutions provider in Hyderabad is seeking a highly skilled professional with 3+ years experience in managing ELK Stack solutions. The role involves configuring log shippers and developing Logstash pipelines to ensure efficient log management within Kubernetes environments. Ideal candidates will possess expertise in Google Cloud Platform and strong skills in Linux administration, alongside familiarity with CI/CD pipelines and observability tools.

Qualifications

• 3+ years of experience in relevant technologies.
• Strong hands-on experience with ELK Stack components.
• Working knowledge of GCP services and Kubernetes.

Responsibilities

• Manage and design ELK Stack solutions for logging and analytics.
• Integrate and configure log shippers in Kubernetes environments.
• Develop and optimize Logstash pipelines for effective log processing.

Skills

ELK Stack

Kubernetes

Google Cloud Platform

Linux administration

REST APIs

CI/CD pipelines

Tools

Terraform

Ansible

Grafana

Prometheus

Job description

Employment Type :
Full-time

Experience :
3+ Years

Required Skills:

• Strong hands‑on experience with ELK Stack (Elasticsearch, Logstash, Kibana).
• Experience with log shippers (Filebeat, Fluentd, Fluent Bit, etc.)
• Solid understanding of Kubernetes concepts (Pods, Services, ConfigMaps, Helm, etc.)
• Working experience with Google Cloud Platform (GCP).
• Proficiency in Linux system administration.
• Experience with REST APIs and JSON.
• Knowledge of index lifecycle management (ILM) and Elasticsearch performance tuning.

Cloud & DevOps

• Experience with GKE (Google Kubernetes Engine)
• Familiarity with CI/CD pipelines
• Exposure to Terraform, Ansible, or similar IaC tools (preferred)

Good to Have

• Experience with APM, metrics, or observability tools
• Knowledge of Prometheus, Grafana
• Scripting skills (Bash, Python, or similar)
• Experience with multi‑cluster or multi‑cloud logging architectures

Responsibilities

• Design, implement, and manage ELK Stack (Elasticsearch, Logstash, Kibana) solutions for centralized logging and analytics.
• Configure and manage log shippers such as Filebeat, Metricbeat, Fluentd, or Fluent Bit.
• Develop and optimize Logstash pipelines for log parsing, filtering, enrichment, and routing.
• Create and maintain Kibana dashboards, visualizations, and alerts.
• Deploy and manage ELK components in Kubernetes (K8s) environments.
• Integrate logging solutions with GCP services (GKE, Compute Engine, Cloud Logging, Pub/Sub, etc.)
• Ensure high availability, scalability, and performance of logging infrastructure.
• Troubleshoot log ingestion, indexing, and visualization issues.
• Implement security best practices (RBAC, TLS, authentication, authorization).
• Collaborate with DevOps, SRE, and application teams to improve observability.
• Automate deployments using Helm, YAML manifests, or Infrastructure as Code (IaC) tools.
• Monitor cluster health and optimize Elasticsearch performance and storage.