12 - 17 years
20 - 25 Lacs
Posted:1 day ago|
Platform:
Work from Office
Full Time
Lead end-to-end performance engineering for distributed storage systems and CI frameworks.
Design and develop scalable automation tools for CI/CD, benchmarking, and performance analytics.
Build and maintain workload generators, monitoring dashboards, and test frameworks for large-scale environments.
Triage, analyze, and resolve performance issues across compute, storage, and network layers.
Implement AI/ML-driven insights into CI processes for predictive validation and anomaly detection.
Collaborate with upstream and internal teams to define KPIs, metrics, and performance objectives.
Mentor engineers on performance optimization, automation, and observability best practices.
12+ years of experience inPerformance Engineering, Quality Engineering, or Automation Architecture.
Strong programming and scripting skills inPython,Bash, orGo.
Hands-on experience withdistributed storage systems (Ceph, GlusterFS, MinIO, or similar).
Deep understanding ofLinux internals,networking, andstorage I/O performance.
Proficiency inCI/CD frameworks (Jenkins, GitLab CI, or similar).
Experience withcloud infrastructure platforms (OpenStack, OpenShift, or Kubernetes).
Familiarity withperformance and workload tools (FIO, COSBench, vdbench, or equivalent).
Experience withinfrastructure automation (Ansible, Terraform).
Strong problem-solving and analytical skills across distributed environments.
Experience integratingAI/ML-driven frameworks for CI analytics or performance insights.
Knowledge ofmonitoring and observability tools (Grafana, Prometheus, ELK stack).
Experience incontainer performance tuning andKubernetes-based workloads.
Understanding ofcloud networking and distributed storage architectures.
Contributions toopen-source or distributed systems communities
IBM
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