kuldeep@prod:~$
Available · remote roles, contracts, UAE

DevOps Lead · Platform & MLOps

Kuldeep Singh
Rathore

I turn fragile infrastructure into platforms teams can trust, from Kubernetes and event streaming to GPU MLOps and cloud cost.

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career uptime 7y 4msince 2019-06based New Delhi, IN
cluster/kuldeep-prod · aws · azure · gcp● healthy
820TPS error-free
21×expected peak
0%consumer errors
7+ yrsDevOps, cloud & MLOpssince 2019
820TPSError-free on EY's GST platformfrom ~450
100→0%Consumer API failures after tuningEY DigiGST
−80%Manual work in ML deploymentLifeSafety.AI
99.9%Uptime held on a DCIM platformYondr
500+Vulnerabilities fixed for SOC 2Global IT
~/README.md

Infrastructure is a product. I build it like one.

I'm a DevOps lead with 7+ years of turning fragile infrastructure into platforms teams can trust. Today I lead DevOps at CoreOps.ai, where I run production platforms for enterprise clients like EY, Panasonic and NM India, own our multi-cloud cost governance, and sit on the pre-sales team shaping RFPs and architectures before a line of code is written.

My sweet spot is where infrastructure meets AI: Kubernetes and event streaming at scale, MLOps pipelines for GPU workloads, and the FinOps work that keeps all of it affordable. I've also been the person on call when things break, including leading incident response on a compromised UAT environment.

I'm the technical lead for CoreOps.ai's AWS, Red Hat and SUSE partnerships, and I'm certified across Kubernetes (CKA), AWS and Anthropic's Claude.

RoleDevOps Team Lead, CoreOps.ai
CloudsAWS · Azure · GCP
FocusKubernetes, MLOps, FinOps
ClientsEY · Panasonic · NM India · Yondr
Looking forRemote · Contract · UAE
Notice period1 month
~/work --featured

Selected work

Changes shipped and incidents closed, written the way I'd write them up for a team.

CHG-EY-01 · Azure AKS · Apache Pulsar

EY DigiGST 2.0: a GST messaging platform tuned to 21× its expected peak

EY's GST compliance platform has to survive filing-deadline bursts. I designed the Apache Pulsar platform on AKS and tuned it through EY's performance testing.

  • Built Pulsar on AKS with Helm, ZooKeeper StatefulSets, cert-manager TLS, JWT auth and automated sinks.
  • Right-sized CPU and memory requests so autoscaled pods actually took traffic.
  • Traced node CPU saturation in Grafana to Pulsar and the app sharing one node pool.
  • Proposed dedicated AKS node pools as the path to a 5,000 TPS target.
AMS throughput, error-free (TPS)EY load tests
Expected peak
37.75
Before tuning
~450
After tuning
820
100%0%Consumer API failures
21.7×Headroom over expected peak
PLT-AGENTCORECoreOps.ai

AgentCORE: an MLOps platform for AI agents

Designed, built and launched the company's platform to build, train, deploy and monitor AI agents across staging, UAT and production.

JenkinsSonarQubePrometheusGrafana
✓ shipped to production
CHG-PANASONICPanasonic Life Solutions

ERP (AX) modernisation and cutover

Mirror servers and API mapping, NBFC partner integrations, database parity and an Azure Data Factory migration run in overnight change windows.

NginxAzure Data FactoryCyberArkITSM
✓ cutover tested against SAP, Salesforce
FIN-3CLOUDPanasonic · CoreOps.ai

FinOps across AWS, Azure and GCP

Ran a two-account AWS FinOps assessment with workshops, and govern CoreOps.ai's own spend: guardrails, rightsizing, decommissioning and a billing waiver.

Savings PlansRightsizingBudgets
✓ cost governance across 3 clouds
ML-LIFESAFETYPodtech

LifeSafety.AI: machine learning into production

Architected the MLOps infrastructure, automated image processing and model deployment, and ran NVIDIA multi-GPU training servers.

JenkinsNVIDIA GPUsPrometheus
✓ −80% manual work · +25% faster training
CHG-YONDRPodtech · Yondr

Yondr DCIM: CI/CD and containers

Moved pipelines from Bitbucket and Jenkins to Azure DevOps, containerised legacy apps and built monitoring for hyperscale data-centre software.

Azure DevOpsDockerPRTGGrafana
✓ 40% faster CI/CD · 99.9% uptime
INC-UAT-SECCoreOps.ai

Incident response: compromised UAT server

Led the response end to end: forensic root-cause analysis, rebuild from a hardened production clone, and vendor remediation.

ForensicsRCAHardening
✓ resolved · postmortem delivered
~/alliances

Pre-sales and cloud partnerships

I'm the technical side of how CoreOps.ai wins and scopes work.

AWS

technical lead

Partner Central opportunities, landing-zone designs and partner-tier requirements; driving team certifications.

Red Hat

technical lead

OpenShift and OpenShift Virtualization deal registrations; Ready-tier partner.

SUSE

technical lead

Partner onboarding and tier planning for new infrastructure offerings.

RFPs & bids

pre-sales

Cloud sizing, solution architecture and technical compliance for government and enterprise bids.

~/git log --career

Experience

branchmain·3 releases · 7+ years
v3 · HEAD
Dec 2024 → nowNoida · hybrid

DevOps Team Lead · Senior DevOps & MLOps Engineer

CoreOps.ai
  • Lead the DevOps team: assign and review work, report weekly to leadership, interview and hire.
  • Production platforms for EY (DigiGST 2.0), Panasonic (AX modernisation) and NM India (N-Gage hosting, Phase-1 data foundation proposal).
  • Built and launched AgentCORE, the company's MLOps platform; govern costs across AWS, Azure and GCP.
  • Technical lead for AWS, Red Hat and SUSE partnerships; pre-sales, RFPs and solution architecture.
  • Microsoft 365 administration and tenant migration; incident response on a compromised UAT server.
v2
May 2022 → Nov 2024Gurgaon

Platform DevOps & MLOps Engineer

Podtech
  • LifeSafety.AI: end-to-end MLOps; 80% less manual work, 25% faster GPU training.
  • Yondr DCIM: Azure DevOps migration (40% faster CI/CD), Docker and Kubernetes (deploys 50% faster).
  • PRTG and Grafana monitoring cut downtime 30% and held 99.9% uptime; SonarQube gates cut tech debt 20%.
v1
Jun 2019 → May 2022Jaipur

DevOps & Cloud Engineer (Linux / Cloud Admin)

Global IT Providers
  • Led the SOC 2 effort by fixing 500+ security vulnerabilities.
  • Ran AWS infrastructure: EC2, ELB, S3, IAM, Route 53, WAF, KMS, RDS, VPC.
  • Automated deployments, backups and log rotation with Bash and Python; hardened Apache, Nginx and IIS.
init
2012 → 2016Rajasthan

B.Tech, Electronics & Communication Engineering

Rajasthan Technical University
~/kubectl get services

Stack

Cloud

AWSAzureGCPCloudflareBedrock

Containers

KubernetesAKSHelmDockerHPA & autoscalingStatefulSets

CI/CD

JenkinsAzure DevOpsGitHubBitbucketSonarQubeTerraform

MLOps & AI

Model pipelinesNVIDIA multi-GPUClaudeLLM platforms

Streaming & data

Apache PulsarMySQLMongoDBSQL ServerData Factory

Observability

PrometheusGrafanaCloudWatchSumo LogicPRTGKibana

Security

SOC 2Incident responseCyberArkFortiGateTLS · JWT

FinOps & platforms

RightsizingSavings PlansBudgetsMicrosoft 365Linux
~/openssl x509 -noout -dates

Certifications

Valid and current.

VALID

Certified Kubernetes Administrator (CKA)

issuer The Linux Foundation · CNCF
valid Jan 2025 → Jan 2027
VALID

AWS Certified Solutions Architect – Associate

issuer Amazon Web Services
valid May 2025 → May 2028
VALID

Claude Certified Architect – Foundations

issuer Anthropic
valid to Aug 2027
2026

AWS Partner: Technical Accredited

issuer AWS Partner Network
scope partner technical accreditation
2026

Red Hat Partner Program

issuer Red Hat
tier Ready
B.TECH

Electronics & Communication

issuer Rajasthan Technical University
year 2016
~/contact

Open to remote roles and contract work

DevOps, platform and MLOps roles: full-time remote, contracts, or relocation to the UAE. One-month notice.

Remote, India or international teams
Contracts and consulting engagements
On-site or hybrid in Dubai / Abu Dhabi
kuldeep@prod: ~/contact
$ kubectl describe engineer kuldeep
Name: Kuldeep Singh Rathore
Role: DevOps Lead · Platform & MLOps
Location: New Delhi, India (UTC+5:30)
Email: rathorethechamp@gmail.com
LinkedIn: in/kuldeep-devops
GitHub: kuldeep-devops01
Status: Ready (accepting conversations)
$
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