Mohammad Imran Ansari

About Mohammad Imran Ansari

I architect intelligent, resilient platforms that enable engineering teams to ship faster, fail safer, and innovate continuously at enterprise scale.As Lead Principal DevOps Engineer at Ingram Micro, I lead multi-cloud platform engineering, SRE transformation, and AI-enabled DevOps initiatives across AWS, GCP, and Azure—supporting developers shipping production workloads reliably.WHAT I DO? Platform Engineering & Cloud ArchitectureMulti-cloud infrastructure (AWS/GCP/Azure) with Terraform | Kubernetes (EKS/GKE/AKS)+ Helm | Cloud-native microservices | Infrastructure-as-CodeDevOps & Release Engineering CI/CD pipelines (GitHub Actions, Bitbucket, Azure DevOps)| Metrics-driven continuous deployment with auto-rollback | GitOps | Policy-as-codeSite Reliability EngineeringChaos engineering with Gremlin | DORA metrics implementation | SLO/SLI definition & error budgets | 24x7 observability (Datadog, Prometheus, Grafana)AI/ML Integration in DevOpsRAG-powered chatbots (Confluence + OpenAI)| LLM orchestration (Gemini, OpenAI)| Vector databases | AI guardrails & scalable systems Cut release cycle time 40% through metrics-driven CD strategy enabling 24x7 deployments Built AI/RAG chatbot (Confluence + OpenAI), influencing Gemini DevOps assistant design Designed chaos engineering workflows with Gremlin to test resilience and automate failure recovery Implemented DORA metrics framework measuring deployment frequency, lead time, MTTR, and change failure rate Architected Pimcore stacks on AWS/GCP with auto-scaling and disaster recovery Integrated ServiceNow with Kubernetes visibility agents Established 24x7 global support operations with automated runbooks and escalationsTECH STACK:Cloud: AWS, GCP, Azure, Terraform, Kubernetes, Helm, DockerCI/CD: GitHub Actions, Bitbucket Pipelines, Azure DevOps, GitOps Observability: Datadog, Prometheus, Grafana, Gremlin AI/ML: OpenAI, Gemini, RAG, Vector DBs, LLM orchestrationCode: Python, Bash, PowerShell, GroovySecurity: CheckMarx, Nexus IQ, JFrog Xray, SonarQubeCERTIFICATIONS:CKA | CKAD | AWS Solutions Architect | HashiCorp Terraform Associate | Azure AZ-900 | CSM | PSM-II regularly speak at DevOps meetups, publish on AI-enabled DevOps and chaos engineering, mentor engineers on Kubernetes and SRE practices, and contribute to open-source tooling.Currently exploring: AI agents for autonomous incident response, and platform engineering at scale.Open to conversations about Platform Engineering, SRE transformation, AI/DevOps integration, and cloud-native architecture.

Experience

1. Lead Principal Devops Engineer

   Ingram Micro

   Mar 2024 — Present · IN

   Leading platform engineering, SRE transformation, and AI-enabled DevOps across multi-cloud environments (AWS, GCP, Azure), enabling developers to ship reliably at enterprise scale.PLATFORM ENGINEERING & INFRASTRUCTURE- Architected multi-cloud infrastructure using Terraform with standardized modules and governance policies across AWS, GCP, and Azure- Designed and deployed production-grade Pimcore stacks on AWS and GCP with auto-scaling, observability, and disaster recovery- Built Kubernetes platforms (EKS, GKE, AKS) with Helm charts for standardized application deployments and cloud-native architecture patternsCONTINUOUS DEPLOYMENT & RELEASE ENGINEERING- Engineered metrics-driven continuous deployment strategy enabling 24x7 releases with automated rollback based on performance thresholds—reducing release cycle time by 40%- Implemented DORA metrics framework tracking deployment frequency, lead time, MTTR, and change failure rateSITE RELIABILITY ENGINEERING- Designed chaos engineering workflows using Gremlin to proactively test resilience, identify failure modes, and validate recovery procedures- Built observability stack with Datadog custom dashboards, SLO tracking, and intelligent alerting- Integrated ServiceNow with Kubernetes visibility agents - Established 24x7 support operations across global shifts with runbooks, escalation workflows, and on-call automationAI/ML INTEGRATION IN DEVOPS- Built AI/RAG proof-of-concept chatbot integrating Confluence with OpenAI for natural language DevOps documentation queries- Designed guardrails and scalable architecture for AI systems using Gemini and OpenAI models with vector databasesLEADERSHIP & GOVERNANCE- Mentor engineers on Kubernetes, Terraform, GitOps, chaos engineering, and SRE best practices- Establish technical standards, governance frameworks, and security-first DevOps policies- Lead architecture reviews, infrastructure audits, and platform strategy discussions

Education

• University Department of Information Technology

  Master of Science - MS, Information Technology

• Bhavans College

  HSC, Science

  2001 — 2003

• Himalaya High School

  SSC, SSC

  1997 — 2001

• Symbiosis Institute of Management Studies

  PGDIT, Information Technology

  2008 — 2010

• M. H Saboo Siddik College of Engg.

  B.E (Information Technology), Information Technology

  2003 — 2007

Skills

• Unity
• Elasticsearch
• Moq
• Jenkins
• Devops
• Vb.net
• Ajax
• Wcf
• Qtp
• Asp.net
• Manual Testing
• Ci
• Scrum
• Angularjs
• C#
• .net
• Jquery
• Automapper
• Agile Methodologies
• Web Applications
• Agile Application Development
• Git
• Entity Framework
• Visual Basic .net (Vb.net)
• Elastic
• Mvc 2/3
• Ioc
• Microsoft Sql Server
• Linq
• Kibana
• Kanban
• Web Services
• Visual Studio
• Asp.net Mvc