GDUDHWAL.dev

Girish Dudhwal

Technology Director · Cloud, SRE & AI-Native Engineering

Technology Director with 15+ years across DevOps, Site Reliability Engineering, and Cloud, leading global teams of 80+ engineers through large-scale migrations. Now bringing agentic AI into engineering delivery with the same guardrails, observability, and human ownership I apply to production.

0+
Years in Infrastructure
0+
Engineers Led (peak)
0+
Servers Automated
0
Organizations
Leadership Scope
AI-Native Delivery
Team Scaling (0-80+)
Strategic Planning
FinOps
Pre-sales & Solutions Architecture
Agile/Scrum

AI-Native Delivery

Agents are the newest production system. I run them the way I've run infrastructure for 15 years: harnessed, traced, and gated by humans.

trace: agentic_delivery · reference model3 parallel agents · 2 human gates
resourceagents=claude-code | cursor | codextools=mcpmodels=picked per task
  • rule
    no agent merges its own work
    owner
    engineer
humanhuman gateagentharnesspipeline

harness > model

Models are swappable. Context, tools, and guardrails are the system — that's where the engineering goes.

trace it or don't trust it

Evals and traces are to agents what SLOs are to services. Unobserved output doesn't ship.

humans own the merge

Agents draft in parallel; engineers approve scope and merge. Same change discipline as production.

continuous_learning · 9 completed courses & badges in agentic AI
  • AWS Transform Fundamentals — AWSverify
  • Introduction to AI Agents — DataCamp
  • Designing Agentic Systems with LangChain — DataCampverify
  • Multi-Agent Systems with LangGraph — DataCamp
  • Building Scalable Agentic Systems — DataCampverify
  • Introduction to MCP — DataCamp
  • Introduction to Subagents — DataCamp
  • Introduction to Agent Skills — DataCamp
  • Harness Engineering — DataCamp

Experience

Technology Director | Cloud & SRE Practice Head

active
Wizeline · Apr 2022 – Present

Leading the global Cloud & SRE practice, defining technical strategy, and driving digital transformation for enterprise clients.

  • Spearheaded multiple cloud migration and modernization projects, transitioning from CloudFormation to Terraform.
  • Led enterprise-wide log optimization — logging middleware architecture and log tiering — delivered largely with AI agents, substantially cutting logging spend.
  • Shaped agentic modernization proposals, including AWS Transform-based migration approaches, for client pre-sales.
  • Managed and mentored a diverse global team of 80+ engineers, fostering a culture of excellence.
  • Directed the complete customer pipeline from initial consultation to solution deployment.
  • Acted as a key link between executive leadership and solution architecture teams on strategy.
  • Led pre-sales conversations with key clients across US and LATAM, shaping custom cloud/DevOps solutions.

Global Head of DevOps Department

Distillery · Jan 2021 – Apr 2022

Oversaw global DevOps operations, driving standardization and best practices across distributed teams.

  • Managed DevOps department processes, handling high-level client and project interactions.
  • Established best practices, roadmaps, and onboarding protocols for the DevOps organization.
  • Identified expansion opportunities within existing client accounts to drive business growth.
  • Analyzed current operations to implement efficiency improvements and scaling strategies.

Principal DevOps Engineer

Globant · Apr 2019 – Jan 2021

Architected cloud-native solutions and led DevOps transformation initiatives for key clients.

  • Automated infrastructure and implemented a hybrid DevOps + SRE team for Realogy operations.
  • Managed complex infrastructure on AWS (Lambda, Glue, Athena) and Google Cloud.
  • Designed architecture for multiple Data Lake solutions.
  • Implemented distributed technologies like Kafka, NiFi, and Spark (Sagemaker).
  • Owned company-wide build processes and pipelines using GitLab and Jenkins.

Key Projects

Enterprise Log Cost Optimization

ai-assisted
problem
Log volume and spend growing faster than the value teams got from it.
approach
  • Designed a logging middleware architecture adopted enterprise-wide.
  • Introduced log tiering: high-value logs stay hot, the rest move to cheaper storage.
  • Rolled out as multiple optimization waves across teams.
ai_role
Most of the analysis, design iteration, and implementation ran through AI agents on top of my architecture. I owned the design decisions and review gates.
outcome
Substantial reduction in logging spend.

Earlier projects

shipped

Mesos Migration

Migrated Hadoop-based computational jobs to Mesos infrastructure for Adobe, optimizing resource sharing.

stack
Docker
Mesos
Marathon
Zookeeper
Java
shipped

Enterprise Monitoring Framework

Designed and integrated a scalable monitoring solution for Wize Commerce using Graphite and Python.

stack
Graphite
StatsD
Python
Cubism.js
Tattle
shipped

Global Deployment Automation

Automated deployment processes for over 3000 servers using LinkedIn Glu platform.

stack
Groovy
Python
Grails
LinkedIn Glu
shipped

AWS Cloud Migration

Architected S3 to Google Nearline data migration with client-side encryption.

stack
AWS
GCP
Python
Encryption

Talks & Media

Speaking engagements, interviews, and discussions on Cloud, SRE, and Leadership.

3 sessions logged
LinkedIn

Growing with Wizeline: Culture and Opportunities

Sharing insights on Wizeline's culture and career opportunities at AWS Community Day Mexico City.

LinkedIn

Hybrid Cloud, AI, and Continuous Assessment

The 2025 Cloud Forecast: Discussing the future of Hybrid Cloud and AI-driven assessment.

LinkedIn

How has the SRE role evolved in recent years?

#WizeSRETips: A deep dive into the evolution of Site Reliability Engineering and modern operations.

Service Inventory

cloud

AWS (Expert)
Google Cloud Platform (GCP)
Azure
Kubernetes
Docker
Mesos

devops

Jenkins
CircleCI
GitLab CI
GitHub Actions
ArgoCD
Chef

observability

Dynatrace
ELK Stack
Prometheus
Grafana
DataDog
Nagios

languages

Python
Go
Shell/Bash
Java
Groovy
Ruby

databases

MySQL
PostgreSQL
Cassandra
MongoDB
Redis
InfluxDB

os

Linux (RHEL, CentOS, Fedora, Ubuntu)
Unix
Windows

networking

SSL/TLS
VPN
MPLS
Wireshark

Education

Bachelor of Technology (B.Tech), Information Technology

2007 – 2011

Chandigarh Engineering College / PTU

Let's talk about your next migration.

Whether it's a leadership role in SRE, Cloud, or Infrastructure, an engineering org ready to go AI-native, or a speaking slot on Cloud, SRE, and AI — reach out directly.

email_girish view_resume open to the right conversation