Cloud Platform Engineer · FinOps

Pradeep Maddi

Pradeep Maddi

I build

I run platform engineering and FinOps on a 150+ account AWS Organization — account lifecycle automation, Kubernetes at scale, and cost governance engineering teams actually trust. Cost recommendations rot in backlogs because nobody proves they're safe; I build the evidence layer that does.

0AWS accounts
0Years in cloud
0Companies
0Certifications
01

About

Pradeep Maddi

Every cloud platform tells you to resize your instances — none of them prove it's safe. My work lives in that gap: deterministic checks where math suffices, production metrics where it doesn't, and canary validation with automated rollback where it matters.

A few principles I hold to:

  • Document why not, not just how — rejected alternatives prevent repeated mistakes
  • Enforce rules with policy engines (SCPs, Kyverno), not docs humans forget to read
  • If the system can't verify safety, it stops — never assumes success
02

Experience

May 2024 — PresentWinnipeg, CA · Remote

Cloud Platform Engineer · Pollard Banknote

  • Operate platform engineering and FinOps across a 150+ account AWS Organization serving high-performance workloads on AWS and Kubernetes.
  • Established FinOps practices — spend visibility and cross-department cost-allocation strategies.
  • Built dashboards over CUR Legacy, FOCUS, and CUR 2.0 to turn utilization and cost into actionable insight.
  • Automated provisioning with Terraform, cutting deployment time 70%; drove a 20% monthly cost reduction via reserved capacity and right-sizing.
May 2023 — Nov 2023St. John's, CA · Hybrid

Cloud Engineer · Viasat

  • Automated infrastructure with Jenkins + Terraform, reducing deployment time 80%.
  • Hardened auth with IAM groups and users, cutting unauthorized access attempts 30%.
  • Optimized Kubernetes components (Services, Ingress, ConfigMaps, Secrets) and reproducible builds — 30% fewer build errors.
Aug 2021 — May 2023St. John's, CA · Remote

Cloud Engineer · Inmarsat

  • Optimized AWS cost efficiency with usage analysis and reserved instances — $10,000/month saved.
  • Implemented monitoring across all cloud installations, decreasing downtime 20%.
  • Automated AWS provisioning with CloudFormation and Terraform, cutting manual effort 80%; built Kibana dashboards that cut troubleshooting 40%.
Nov 2019 — Mar 2021Kanata, CA · Remote

Cloud Engineer · Cisco

  • Performance optimization via CloudWatch alerts — $50,000/month in savings.
  • Integrated Okta SSO across 20+ applications, cutting login time 40%.
  • Built scalable IaC with Bamboo and Jenkins, decreasing provisioning time 50%.
May 2017 — Apr 2019Hyderabad, IN · Remote

Linux System Administrator · Lotus Info Tech

  • Administered 20+ UNIX/Linux servers (Red Hat Satellite, YUM, RPM) and 20,000+ user accounts.
  • Automated maintenance scripts saving ~15 hours/week; ran security audits reducing breach risk 40%.
03

Selected Work

cloud-finops-agent

Flagship · Open Source

cloud-finops-agent

Evidence-based cloud cost optimization. Tiered validation — deterministic rules, statistical analysis on real metrics, and production canaries with SLO-gated automated rollback. Findings ship as SARIF into GitHub Code Scanning. Fail-closed by design.

The judgment behind it — no sandbox benchmarks, agent ≠ control plane, tiered validation.

  • Python
  • boto3
  • SARIF
  • GitHub Actions
  • OIDC

See all repositories on GitHub →

04

Certifications

05 · What's next

Let's build something reliable.

Whether it's platform engineering, FinOps, or an interesting problem in cloud cost governance — my inbox is open.