Live opening · Posted 2 days ago
Lead Software Engineer
Virtusa · Mumbai Metropolitan Region (On-site)
JobBeeper subscribers received an alert for this role.
At a glance
The key details from the original listing.
CompanyVirtusa
LocationMumbai Metropolitan Region (On-site)
Work modeNo
SkillsPython, AWS, Azure, GCP, Kubernetes, Terraform, Elasticsearch
Source
Linkedin
ListedPosted 2 days ago
Your early-applicant advantage
Live timing from JobBeeper.
2 min
from Linkedin publishing this role to us finding it
9 min
median time from a role going live to a subscriber being told
6 hours
subscribers had this role before this page existed
39,359
roles found in the last 24 hours — the newest are not on this site yet
About the role
Description supplied by the original job listing.
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.
Work arrangement
No
More openings worth a look
Recently tracked roles with full details and direct application links.
Good roles move before most people even see them.
Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →