Shabrish N R

Results-driven Cloud Technical Lead and DevOps Specialist with 8+ years of experience operating large-scale cloud infrastructure (GCP, Azure) and AI-driven automation frameworks. Proven track record in leading high-performing SRE teams and delivering measurable impact, including 100% SLA compliance, 80% throughput enhancement, and 30% production efficiency gains.

Certified

Generative AI Leader skilled in designing guardrail pipelines, platform engineering, and driving global platform reliability through Python/Shell automation and SRE best practices.

Cloud Technical Lead at Atlas Systems (2026-06 – Present)

• Lead and mentor a high-performing team of 10 SRE and Cloud Engineers, ensuring consistent platform delivery and professional development.
• Architect and execute AI-driven platform workflows and agent-based automation to eliminate manual operational toil and establish self-managing infrastructure.
• Direct production incident leadership and root cause analysis (RCA) for mission-critical distributed systems to maintain high platform reliability.
• Implement automated validation pipelines and safety guardrails to ensure production stability during automated and AI-generated code deployments.
• Spearhead the strategic growth of cloud engineering capabilities across US and EMEA regions to support 24/7 global operations.
• Drive platform observability and system dependency lifecycle management across Linux production environments to ensure consistent service uptime.

Cloud Support Engineer at SAP Fioneer (2022-04 – 2026-06)

• Spearheaded cloud platform architecture and migration projects across APAC, US, and Canada regions following SRE principles.
• Engineered automated CI/CD pipelines using Jenkins and GitHub Actions with automated validation layers for zero-downtime releases.
• Developed production-grade Python scripts and Linux Shell utilities to automate deployment and infrastructure maintenance workflows.
• Containerized core services using Docker and orchestrated cloud-native platforms on Google Kubernetes Engine (GKE).
• Administered GCP and Azure topologies, managing IAM policies, storage, compute, and cloud networking.
• Governed Jira and Confluence configurations to optimize SDLC processes and accelerate MTTR for cross-functional incidents.
• Maintained Infrastructure-as-Code (IaC) workflows using Terraform and Git to ensure auditability and governance.
• Implemented AI integration frameworks to evaluate emerging technologies and drive intelligent automation.

Cloud and Infrastructure Engineer at Mindtree (2021-07 – 2022-04)

• Orchestrated database deployments across Production, Dev, and UAT environments, achieving 100% SLA compliance with zero data loss.
• Optimized distributed database performance by tuning CPU, Disk I/O, and memory bottlenecks, delivering an 80% throughput enhancement.
• Automated incident management and change response workflows using ServiceNow and Jira to significantly reduce Mean Time to Resolution (MTTR).
• Authored operational runbooks and standard operating procedures for file management on production Linux and Windows servers.

SQL Database Administrator at Mindtree (2019-02 – 2021-07)

• Monitored high-availability production instances, leading incident triage and systematic STAR-based root cause analysis.
• Executed PSU patching and emergency change management on PROD systems with zero downtime utilizing meticulous rollback strategies.
• Enhanced production server efficiency by 30% through advanced performance tuning and capacity planning.
• Leveraged Python and Shell scripts to eliminate manual operational tasks and standardize DBA routine workflows.

Bachelor of Engineering in Information Science – East West Institute of Technology (2014-06 – 2018-07)