Debashis Pati

Director of Engineering

Bengaluru, Karnataka, India17 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led multi-cloud operations at Oracle for global reliability.
Integrated AI/ML into operations for enhanced decision-making.
Built and scaled global SRE teams with KPI-driven accountability.

Stackforce AI infers this person is a SaaS expert specializing in cloud infrastructure and site reliability engineering.

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Skills

Core Skills

Cloud Infrastructure & OperationsSite Reliability EngineeringAi-enabled Operations

Other Skills

AI/MLAIOpsAgile MethodologiesAmazon Web Services (AWS)AnsibleAntApache AntArgoCDBugzillaBuild AutomationChefCloud ComputingCloud InfrastructureCloud-Native ArchitectureContinuous Delivery

About

As a Director at Oracle with over a decade of experience, I lead the delivery of secure, scalable, and AI-powered Enterprise CDPs and analytics solutions tailored to diverse business needs. Collaborating with cross-functional teams, including architects, engineers, and product owners, we ensure seamless execution of roadmaps and operational strategies. My focus lies in advancing DevOps and SRE practices to empower organizations with reliable, data-driven decision-making tools.

Experience

Oracle

2 roles

Director (DevOps/CloudOps)

Promoted

Apr 2025 – Present · 11 mos · Hybrid

Cloud Infrastructure & Operations
Lead multi-cloud operations (Oracle Cloud, GCP) across global regions with a focus on reliability, scalability, and performance.
Standardize runbooks, SOPs, and automated workflows for seamless execution.
⚡ Incident Management & Response
Own global 24/7 incident lifecycle: detection → triage → resolution → postmortem.
Reduce MTTD/MTTR through proactive monitoring, intelligent alerting, and automated remediation.
📊 Data-Driven Leadership
Build and scale global SRE/Cloud Ops teams with KPI-driven accountability (uptime, change success rate, incident resolution).
Leverage tools like Datadog, Grafana, Splunk, and ServiceNow for real-time insights.
🤖 AI-Enabled Operations
Integrate AI/ML into ops workflows (predictive monitoring, anomaly detection, AIOps).
Automate observability, incident response, and change management pipelines.
Define SLOs/SLAs using AI insights to boost reliability and customer experience.
🛡️ Governance & Compliance
Enforce SLAs, SLOs, change controls, and regulatory compliance to minimize risk.
Ensure security and audit readiness across cloud operations.
💰 Cost Management
Optimize multi-cloud spend via cost governance and usage analytics.
🤝 Cross-Functional Collaboration
Partner with engineering, security, and product teams to align operations with business strategy.
Deliver executive-level reporting on system health, risks, and incident trends.