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Sai Krishna Veerabathini

Platform Engineering · DevOps · Kubernetes · Cloud Automation · IaC (Pulumi, Terraform) · Developer Experience

Associate Engineering Manager · Virtusa

Sai Krishna
Veerabathini

Halifax, Nova Scotia, Canada500+ connections526 followers

Currently: Leading platform and DevOps initiatives at Virtusa while deepening skills in generative AI, Claude, Vertex AI, and Microsoft Learn.

→ Reusable EKS & IaC patterns that cut onboarding from weeks to days
View my workGet in touchView resume on LinkedIn→
AWSAzureGCPKubernetesEKSPulumiTerraformVertex AIClaudeAgentic AI
AI Ops CenterLIVE

Clusters

12/12

Agents

7 active

FinOps

Scanning

Incidents

4 open

Pipelines

41/41

· FinOps agent flagged 3 idle EBS volumes · est. $420/mo

Enter the AI Ops Center →

Signature experience

$open ops-center

AI Infrastructure Control Plane

The operational surface I design for — cluster health, agent orchestration, FinOps scans, incident routing, and automation pipelines in one AI-native ops center. Click the tabs to explore.

Signature · AI Ops Center

Infrastructure Control Plane

All systems operational

Multi-cloud cluster health

eks-prod-us-easthealthy

AWS · nodes 12/12

CPU68%
MEM54%
eks-dev-us-easthealthy

AWS · nodes 6/6

CPU34%
MEM41%
aks-stage-euhealthy

Azure · nodes 8/8

CPU52%
MEM48%
gke-prod-aphealthy

GCP · nodes 10/10

CPU71%
MEM63%

Live activity

  • FinOps agent flagged 3 idle EBS volumes · est. $420/mo
  • DNS automation validated CNAME · prod-zone · 42s turnaround
  • Incident #4821 triaged → runbook-eks-node-pressure
  • Pulumi stack preview passed · eks-platform-dev
  • Agent workflow dns-request-7 completed

Topology

01 — Work

$ls projects/

What I've built

Engineered systems with architecture, workflows, and measurable outcomes — read the full case studies →

Flagship system

AI-Powered DNS Automation

Agentic request triage for operational DNS changes — intake, policy validation, execution, and full audit trail.

Full case study →GitHub

System architecture

Slack/JiraEvent BusTriage AgentPolicy EngineDNS APIRoute53Audit/SIEMNotify

Slack/Jira webhooks → event bus → triage agent + policy engine → Route53 API → audit/SIEM pipeline with stakeholder notifications.

Operations dashboard

dns-automation · ops dashboard

Open requests

3

Avg turnaround

42s

Policy pass rate

96%

Recent requests

dns-req-2847 · CNAME · prod · RESOLVED

dns-req-2846 · A record · staging · PENDING

dns-req-2845 · TXT · prod · APPROVED

Operational dashboard — request queue, agent status, and audit trail

Design decisions

  • Policy engine separated from agent logic for testability and governance
  • Human-in-the-loop for prod-zone changes above blast-radius threshold
  • Idempotent execution with rollback hooks on validation failure

Inputs

Slack requestsJira ticketsDNS zone metadataPolicy rules

Outputs

Route53 changesAudit logsSlack notificationsSIEM events

85%

Reduction in manual DNS handling

<2min

Average request turnaround

100%

Audit coverage on prod changes

Read full case study with deployment flow & implementation details →

More projects

Dev PortalPulumiCI/CDEKSIAMOIDC
01
shippedAWS · EKS · Pulumi

Reusable EKS Platform Components

Standardized cluster provisioning with reusable components for node groups, Fargate profiles, IAM/OIDC, tagging, and environment patterns.

Architecture

Self-service portal → Pulumi components → EKS clusters with standardized IAM/OIDC, node groups, and Fargate profiles.

Workflow

  1. 1.Developer selects environment pattern from portal
  2. 2.Pulumi stack provisions EKS + IAM/OIDC bindings
  3. 3.CI/CD pipeline validates and deploys cluster add-ons

Inputs

Environment configTeam IAM rolesNetwork CIDR

Outputs

EKS clusterOIDC providerStandardized tags

→ Reduced onboarding from weeks to days with reusable components.

How it works

  1. 1Pick a pattern — Developer selects dev/stage/prod pattern from portal — sizing, networking, and compliance pre-configured.
  2. 2Pulumi deploys — Component stack provisions EKS, OIDC, node groups, and baseline add-ons in one apply.
  3. 3CI validates — GitHub Actions runs conformance checks; cluster registered in platform catalog with runbooks.
Read case study→
TeamsModule LibAWSAzureGCPPolicy
02
shippedIaC · Platform · Automation

DevOps-as-a-Service Modules

Created reusable infrastructure modules and delivery patterns to accelerate onboarding, improve governance, and reduce duplication.

Architecture

Central module library consumed by product teams, with policy guardrails enforced at plan/apply time across AWS, Azure, and GCP.

Workflow

  1. 1.Team imports versioned module from library
  2. 2.Policy engine validates against org standards
  3. 3.Terraform/Pulumi applies to target cloud account

Inputs

Module catalogTeam workspaceCloud credentials

Outputs

Provisioned resourcesCompliance reportState lock

→ Accelerated team onboarding and cut IaC duplication across environments.

View on GitHub→
Cloud APIFinOps AIDetectReportSavings
03
conceptualizedAI · Cloud Cost Optimization

FinOps Waste Detection Agent

Conceptualized AI-assisted cloud waste detection to identify idle resources, highlight spend anomalies, and drive actionable savings.

Architecture

Cloud APIs feed usage metrics into an AI agent that detects idle resources, anomalies, and generates actionable savings reports.

Workflow

  1. 1.Scheduled scan pulls resource metrics from cloud APIs
  2. 2.AI agent correlates usage patterns and flags waste
  3. 3.Report generated with estimated savings and remediation steps

Inputs

Cloud billing dataResource metricsUsage thresholds

Outputs

Waste reportSavings estimatesRemediation runbooks

→ Identified cost savings opportunities for proactive optimization.

How it works

  1. 1Daily scan — Step Functions orchestrates resource metric collection across accounts and regions.
  2. 2AI analysis — Agent correlates utilization vs billing, flags idle resources and spend anomalies.
  3. 3Actionable report — Savings report with remediation runbooks pushed to Slack and Jira for team review.
Read case study→

02 — Experience

$cat experience

Where I've worked

10 years 9 months across platform engineering, DevOps, and cloud automation.

Associate Engineering Manager · Virtusa

Current

Present · Halifax, Nova Scotia, Canada

View full experience →
  • Lead platform engineering and DevOps initiatives for cloud-native infrastructure across AWS, Azure, and GCP.
  • Drive reusable EKS components, IaC modules, and standards that shorten onboarding and improve delivery consistency.
  • Champion AI-assisted automation, FinOps awareness, and developer experience for engineering teams.
AWSEKSPulumiTerraformKubernetesGenerative AI

Lead Consultant · Virtusa

Sep 2022 – Oct 2023 · Hyderabad, India

  • Led DevOps and platform delivery for enterprise cloud migrations and automation programs.
  • Mentored consultants on IaC, CI/CD, and Kubernetes operational practices.
AWSAzureTerraformKubernetes

Senior Consultant · Virtusa

Oct 2019 – Dec 2022 · Hyderabad, India

  • Delivered cloud automation, IAM, and DevOps solutions for global clients.
  • Built reusable delivery patterns that improved governance and reduced duplication.
AWSDevOpsIAMCI/CD

Senior Member Technical · ADP

May 2019 – Oct 2019 · Hyderabad, India

  • Provided ADFS administration and SSO maintenance for enterprise applications.
  • Integrated new applications with ADFS and migrated workloads from SiteMinder to ADFS.
  • Designed, provisioned, configured, and tuned Active Directory solution technologies.
ADFSSSOIAMActive DirectorySiteMinder

Senior Software Engineer · Mindtree (LTIMindtree)

Jan 2018 – May 2019 · Hyderabad, India

  • Engineered cloud and DevOps solutions for digital transformation programs.
CloudDevOpsAutomation

Associate Consultant · Capgemini

Jun 2014 – Jan 2018 · Bengaluru, India

  • Administered Windows Server, Active Directory, DNS, DHCP, and core infrastructure services.
  • Resolved incidents with root-cause analysis; maintained technical and operational documentation.
  • Applied skills across Group Policy, NTFS/share permissions, and print services.
Windows ServerActive DirectoryDNSDHCP

03 — Services

$ls services/

What I do

Platform engineering, cloud infrastructure, and AI-driven automation.

Platform Engineering & Cloud Architecture

Designing scalable AWS, Azure, and GCP infrastructure with Terraform, Pulumi, CI/CD pipelines, and cloud-native best practices.

Kubernetes & Cloud Native

Operating Kubernetes clusters with EKS, Helm, GitOps workflows, and standardized provisioning patterns.

DevOps & IaC Automation

Building reusable modules, delivery patterns, and self-service platforms that reduce time-to-production.

AI for Operations

Applying agentic AI and automation to DNS, FinOps, and operational workflows for faster, smarter ops.

04 — Thinking

$cat thinking

What I'm thinking

Ideas and reflections on DevOps, AI, and platform engineering — from LinkedIn.

May 2026

Microsoft AI Skills Fest participation

Earned my Microsoft AI Skills Fest badge — proud to keep learning and hope it inspires others to start their Microsoft Learn journey.

Read on LinkedIn→
Feb 2026

Prompt Design in Vertex AI Skill Badge

Continuous learning — generative AI skills for platform and automation workflows.

Read on LinkedIn→
2025

A DevOps belief I had to unlearn

The real problems aren't always the loud ones — they're the quiet ones we don't stop to question.

Read on LinkedIn→
2025

Something I didn't expect when I started learning AI

I went back to Python fundamentals — AI work is simpler when your foundations are strong.

Read on LinkedIn→
2025

Most cloud cost issues come from small decisions

Good automation should make it easy to notice when something no longer makes sense — not just easy to create.

Read on LinkedIn→
2025

The best automation removes decisions

Instead of asking how to automate, I ask what friction I can eliminate for the next person.

Read on LinkedIn→
2025

The most effective infrastructure is invisible

Platform engineering gives developers what they need while the platform handles everything behind the scenes.

Read on LinkedIn→

05 — About

$cat about

In short

I'm an Associate Engineering Manager with deep experience in Cloud, DevOps, Platform Engineering, Kubernetes, and automation. I design platforms and engineering systems that improve developer experience, reliability, and operational efficiency across AWS, Azure, and GCP — with growing focus on generative AI, agentic workflows, and continuous learning.

10 years 9 months of experience · Based in Nova Scotia, Canada. When not building platforms, I explore local trails, study generative AI and agentic workflows, and share what I learn in public.

Languages

EnglishHindi

Core skills

Platform EngineeringDevOps ArchitectureKubernetesCloud AutomationPulumiTerraformAWSAzureGCPIAM & SSOCI/CDSREGenerative AIAgentic AI

Education

B.E., Electrical and Electronics Engineering

Jawaharlal Nehru Technological University · 2009 – 2013 · India

Developer experience firstAutomation that scalesLearn in public

For full experience, certifications, and recommendations — see LinkedIn

06 — Credentials

$ls certifications/

Certifications

Cloud, SRE, and generative AI credentials — synced with LinkedIn.

Recent learning badges

Microsoft AI Skills Fest | Festival participationMicrosoft Learn · May 2026

Claude Certified Architect – Foundations

Anthropic

Issued May 2026 · Expires Nov 2026 · ID jb3b5qd2v2x2

View credential →

AWS Knowledge: Compute – Training Badge

Amazon Web Services (AWS)

Issued Feb 2026

View credential →

Introduction to Generative AI

Google

Issued Feb 2026 · ID 22060772

View credential →

Prompt Design in Vertex AI Skill Badge

Google

Issued Feb 2026

View credential →

SRE Foundation

PeopleCert

Issued Jan 2025 · Expires Jan 2028 · ID GR558001536SV

View credential →

Academy Accreditation – Generative AI Fundamentals

Databricks

Issued Dec 2025 · Expires Dec 2026 · ID 170167776

View credential →

AWS Certified Solutions Architect – Associate

Amazon Web Services (AWS)

Issued Mar 2020 · Expires Mar 2023 · Expired · renewal in progress

View credential →

07 — Testimonials

$cat testimonials

Kind words

5 LinkedIn recommendations from colleagues and managers.

“Sai's was one of the most reliable colleagues I've worked with. His knowledge on cloud is parallel to none and the way he articulated his thoughts have always set our team in the right direction. He's patient, never breaks a sweat even under stressful situations and most of all extremely diligent when it comes to his duties. He somehow manages to keep up with contemporary tech — which inspires me to keep pushing myself. That being said, I'd highly recommend Sai for any position he's looking forward for.”

“I'm pleased to recommend Sai Krishna, who worked under me and consistently demonstrated exceptional skill and professionalism. He is highly talented in Cloud Automation, IAM, and DevOps, and has a strong ability to quickly understand complex challenges and deliver reliable, high-quality solutions. Sai Krishna is a true team player—collaborative, proactive, and always willing to support others. His positive attitude and ownership mindset make him a pleasure to work with, both as a colleague and as a friend. I strongly endorse Sai Krishna for any opportunity he pursues; he will be a valuable asset to any team.”

08 — Contact

$connect

Let's work together

Open to senior platform engineering and DevOps roles in Canada (remote). Whether you have a project in mind, need a platform engineer, or want to connect — my inbox is always open.