Vineet's CV
Vineet Kumar Sharma
Senior DevOps Engineer | Cloud Infrastructure
Profile summary
Strategic Senior DevOps Engineer with 14 years shaping cloud infrastructure and site reliability outcomes. Known for scaling Kubernetes platforms, automating deployment pipelines, and optimizing cloud costs. Committed to maintaining operational stability and driving system reliability across enterprise environments.
Career highlights
Cloud Infrastructure Automation: Built end-to-end Jenkins continuous integration and deployment pipelines with automated test gates, improving release frequency by 3x and eliminating manual deployment steps.
Cloud Migration and Reliability: Executed lift-and-shift on-premises to AWS cloud migrations for multiple product lines, improving availability from 95% to 99.5% and establishing disaster recovery targets.
Observability and Incident Reduction: Deployed centralised Grafana, Sensu, and Graphite observability stacks with PagerDuty integration, eliminating 35%+ on-call noise through alert hygiene.
Server Migration Coordination: Executed zero-incident migration of 500+ production servers across data centres by coordinating application, network, storage, and client teams.
Key skills
Professional experience
Defines generative artificial intelligence and large language model inference platform strategy, steering multi-region cloud infrastructure and production readiness operations across Amazon Elastic Kubernetes Service clusters.
- Reduces mean time to detect by 50% and mean time to resolution by 40% through Datadog, Prometheus, Grafana, PagerDuty, and OpenTelemetry.
- Decreases monthly cloud costs by 30% through Karpenter autoscaling, Spot instance adoption, and compute right sizing while maintaining SLAs.
- Enforces role based access control, least privilege access, and policy as code across multi account environments.
- Automates operational toil through Python and Bash scripts for alert auto remediation and deployment pipelines.
Shaped reliability and deployment infrastructure for enterprise SaaS data management platforms, operating multi-AZ AWS environments and meeting strict uptime commitments. Steered infrastructure automation, containerisation adoption, and system observability to maintain operational stability across all production fleets.
- Built end-to-end Jenkins CI/CD pipelines with automated test gates and staged rollouts, improving release frequency by 3x and eliminating manual deployment steps.
- Automated IaC with Terraform and Chef, cutting environment provisioning time by 60%+ from days to under one hour and eliminating configuration drift.
- Deployed centralised Grafana, Sensu, and Graphite observability stack with PagerDuty integration, eliminating 35%+ on-call noise through alert hygiene.
Guided infrastructure operations and cloud migration initiatives, directing multi-product transitions to AWS environments and establishing core disaster recovery frameworks while maintaining reliability standards and configuration governance through standardized infrastructure automation.
- Executed lift-and-shift on-prem to AWS cloud migrations for multiple product lines, improving availability from 95% to 99.5% and establishing disaster recovery with defined RTO and RPO targets for all critical services.
- Authored reusable Terraform modules for VPCs, IAM roles, Auto Scaling Groups, and application stacks, standardizing infrastructure patterns and reducing provisioning time by 50% across projects.
- Deployed CloudWatch, Sensu, and Grafana monitoring, tuning alerting to improve on-call signal quality and proactively surface capacity and performance issues before customer impact.
Directed infrastructure workflows and ITIL standards for global enterprise clients across APAC, EMEA, and Americas. Administered Linux and Unix systems on VMware ESXi environments while overseeing server management operations.
- Executed zero-incident migration of 500+ production servers across data centres by coordinating application, network, storage, and client teams.
- Deployed Nagios monitoring infrastructure across 200+ managed nodes to support 24/7 L2 production environments.
- Executed operating system hardening using CIS benchmarks, access control enforcement through PAM and sudoers configurations, and security patch deployments.
- Monitored performance baselines on Linux and Unix servers.
Education
Computer Science
Certifications
Languages
English · Professional
Hindi · Native