Virtusa
Devops GCP
Skills
17 days ago
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Important information
Contract type:
Permanent
Location:
Mumbai, Maharashtra, India
Work mode:
Hybrid
Published on:
4 October 2026
What they need
We are hiring for "Devops GCP" at Virtusa.
Please share your updated CV along with below details
** Candidates with notice period more than 15 days need not apply
* Total Experience -
* Current CTC -
* Expected CTC -
* Notice Period/LWD -
* Current Location -
* Preferred Location -
Email : [email protected]
Job Description
Key Responsibilities:
Observability Strategy: Architect and maintain end-to-end observability solutions (Metrics, Logs, Traces) to ensure high availability and performance of critical applications.
Tooling & Management: Manage and scale observability platforms (e.g., Prometheus/Grafana, ELK/Splunk, Datadog, or New Relic). Configure dashboards, alerting thresholds, and SLO/SLI definitions.
Incident Response Support: Partner with SRE and DevOps teams to reduce Mean Time to Detection (MTTD) and Resolution (MTTR) by building automated diagnostic tools and root-cause analysis dashboards.
Automation: Utilize Infrastructure as Code (IaC) principles (e.g., Terraform) to manage observability infrastructure and ensure consistent deployments.
Performance Optimization: Analyze platform costs and performance data to optimize observability spend and improve system reliability.
Required Qualifications & Skills:
Experience: 5+ years of hands-on experience in DevOps, SRE, or Infrastructure Engineering, with at least 3 years specifically dedicated to Observability/Monitoring.
Technical Stack:
Observability Tools: Deep expertise in Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or commercial platforms like Datadog/Splunk/Dynatrace.
Cloud Platforms: Proven experience working in cloud environments (GCP/AWS/Azure). Experience with Google Cloud Operations (Cloud Monitoring/Logging) is a plus.
Containerization: Proficiency in Kubernetes (K8s) monitoring and service mesh observability (e.g., Istio).
Scripting/Coding: Strong proficiency in Python or Go for automation and building custom exporters.
Distributed Systems: Understanding of distributed tracing concepts and tools (e.g., Jaeger, OpenTelemetry).
Mindset: Strong analytical and troubleshooting skills, with the ability to identify patterns in complex system logs and metrics.
Agile Proficiency: Comfortable working in an Agile environment using Jira and Confluence for documentation and task tracking.
Nice to Have:
Cloud-Native Certified (e.g., CKA, CKAD).
Experience with Chaos Engineering principles and tools.
Knowledge of service-level objective (SLO) methodologies and error budget management.
Regards,
Pallavi Tapase
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