Cloud AI DevOps & SRE Engineer

Jose Dahlson Irenish Kumar

8+ years architecting cloud infrastructure, Kubernetes platforms, GitOps systems, and AI-powered automation across AWS and Azure.

8+
Years Experience
15+
Apps Migrated
60%
Cost Reduction
99%
Faster AI Response
AWSKubernetesTerraformDockerArgoCDJenkinsGitHub ActionsPrometheusGrafanaAWS Bedrock

Projects

Selected work across cloud infrastructure, AI, platform engineering, and DevOps.

Agentic AI chatbot architecture

Agentic AI Support Platform

Multi-agent AI platform using AWS Bedrock, RAG pipelines, and LangGraph to automate Confluence-based support via Slack — cutting response times by 99% for 2,000+ users.

AWS BedrockRAGLangGraphLambdaOpenSearch
Cirrus migration overview

Cirrus Cloud Migration

Led migration of 15+ critical applications from on-prem to AWS, modernizing deployments and achieving ~$30K/month in cost savings.

AWSCI/CDIaCCloudFormation
Storebox platform architecture

Storebox — Multi-Cloud Platform

Re-architected from legacy on-prem to multi-cluster Kubernetes (EKS & AKS), supporting 20+ teams with ~6TB daily artifacts and 75% efficiency gain.

AWS EKSAzure AKSS3Nasuni
Image lifecycle management

Image Lifecycle Management

Centralized discovery, lifecycle policies, and automated cleanup for 200K+ AMIs and 1M+ container images, reducing storage costs and improving compliance.

EKSLambdaAutomationSecurity
GitOps delivery setup

GitOps Platform

ArgoCD-driven delivery with Istio service mesh, Helm charts, and Prometheus/Grafana observability for 20+ microservices — 3x faster releases.

ArgoCDIstioHelmPrometheusGrafana
Serverless architecture

Serverless DNS Self-Service

Orchestrated Lambda functions with AWS SAM and Step Functions to automate DNS workflows as self-service for development teams.

LambdaStep FunctionsSAMDynamoDB
CI/CD pipeline overview

CI/CD Modernization

Jenkins and AWS CodePipeline with automated testing and blue/green deployments via CodeDeploy — 50% fewer deployment failures.

JenkinsCodePipelineCodeDeploy
Observability dashboards

Observability Platform

Prometheus and Grafana dashboards with CloudWatch and Splunk integration for centralized monitoring, alerting, and incident response.

PrometheusGrafanaCloudWatchSplunk
Cost optimization charts

Cloud Cost Optimization

FinOps initiative combining rightsizing, lifecycle automation, and AWS Cost Explorer analytics — 60%+ infrastructure cost reduction.

FinOpsCost ExplorerAWS

Experience

Principal Cloud DevOps & SRE Engineer

Autodesk

Jun 2020 – PresentNovi, Michigan
  • Migrated 15+ critical applications from on-prem to AWS (Cirrus), achieving ~$30K/month in cost savings.
  • Re-architected Storebox to multi-cluster Kubernetes (AWS EKS & Azure AKS), supporting 20+ teams with ~6TB daily artifacts and 75% efficiency gain.
  • Built an Agentic AI chatbot using AWS Bedrock, RAG pipelines, and LangGraph — cutting support response times by 99% for 2,000+ users.
  • Led delivery of a serverless multi-agent AI platform on AWS Lambda, orchestrating domain-specialized LLM agents for Confluence-based Slack support.
  • Implemented GitOps with ArgoCD, Helm, Istio, Prometheus, and Grafana for 20+ microservices, reducing release cycles by 3x.
  • Designed serverless workflows using AWS SAM and Step Functions for DNS self-service automation.
  • Built CI/CD with Jenkins and AWS CodePipeline; blue/green deployments reduced failures by 50%.
  • Reduced cloud costs by 60% through FinOps, lifecycle automation (200K+ AMIs, 1M+ images), and resource optimization.
  • Led a distributed DevOps team of 8 engineers, defining platform reliability practices and GitOps standards.

Network Engineer Intern — Data Science

CenturyLink (Lumen Technologies)

Jun 2019 – May 2020Littleton, Colorado
  • Built network analytics pipelines with Python and Elasticsearch for MPLS backbone utilization analysis.
  • Developed real-time Kibana dashboards for network performance, improving efficiency by 60%.
  • Automated data ingestion workflows and created Jupyter notebooks for network behavior analysis.

Cloud DevOps Engineer

Accenture

Jul 2016 – Jul 2018Chennai, India
  • Built CI/CD pipelines in Azure DevOps with zero-downtime deployments, reducing deployment time by 75%.
  • Automated infrastructure provisioning and reporting with Python, Bash, and PowerShell.
  • Provisioned and configured Azure services including VMs and Storage accounts.

Skills

Tools and platforms I use to build robust cloud systems.

Cloud Platforms

AWSAzureEC2EKSS3RDSDynamoDBRoute53CloudFrontAPI GatewayLambda

Infrastructure as Code

TerraformCloudFormationAWS SAM

CI/CD

JenkinsGitHub ActionsCloudBeesArgoCDCodePipelineCodeBuildCodeDeploy

Containers & Orchestration

DockerKubernetesEKSHelmIstioKarpenter

Observability

PrometheusGrafanaCloudWatchELKSplunkDynatrace

AI Infrastructure

RAG PipelinesVector EmbeddingsAgentic AIAWS BedrockLangGraph

Languages

PythonBashPowerShell

Messaging

KafkaSQS

Security

IAMKMSWAFRBAC

Certifications

AWS Solutions Architect – Associate

2019

AWS Developer – Associate

2020

AWS SysOps Administrator – Associate

2021

Certified ScrumMaster (CSM)

2021

Microsoft Azure Fundamentals

2022

Awards & Recognition

Titans of Transformation

2025

AutodeskLaunching the Storebox platform

Role Model Award (x3)

2023

AutodeskOutstanding customer service

Spotlight Award

2020

CenturyLinkPerseverance and impact

Star Employee of the Month

2017

AccentureInnovation and automation

Education

MS, Telecommunications Engineering

Aug 2018 – May 2020

University of Colorado Boulder

Boulder, CO

B.Tech, Electronics & Telecommunications

Jul 2012 – May 2016

Karunya Institute of Technology and Sciences

Coimbatore, India

Get in Touch

Interested in collaborating or hiring? Reach out via email or connect on LinkedIn.