Nate Fletcher

I help keep enterprise SaaS systems reliable, supportable, and easier to operate.

I work where customer-facing systems and production operations meet. My career started in support and escalation work, moved through product engineering, and grew into site reliability, cloud migration, automation, and platform ownership.

Jacksonville, FL nate@natefl.com

What I Bring to the Work

A practical mix of customer-facing production experience, implementation work, and hands-on cloud reliability.

Production Reliability

Keeping customer-facing SaaS systems steady through incidents, monitoring gaps, change windows, migrations, and handoffs.

  • Incident response across application, data, identity, and infrastructure layers.
  • Observability work using CloudWatch, New Relic, Kinesis Firehose, and runbooks.
  • Operational judgment built from years of support, product engineering, and SRE work.

Technical Implementation

Turning customer requirements and integration problems into working, documented delivery paths.

  • Customer-facing troubleshooting for SSO, file delivery, API behavior, data handoffs, and implementation configuration.
  • Customer onboarding, data delivery, product upgrades, and production change coordination.
  • Clear translation between customers, support, product, engineering, and infrastructure teams.

Cloud and Automation

Modernizing legacy SaaS operations with AWS, Azure, Terraform, scripts, pipelines, and repeatable processes.

  • AWS migration, WAF management, DMS operations, DataSync, S3, Lambda, ECS Fargate, and Terraform.
  • Automation with Python, PowerShell, Bash, GitHub Actions, and infrastructure-as-code workflows.
  • Codex and AWS Kiro/Claude-style workflows for planning, documentation, debugging, and code review, with human review.

Selected Work

A few examples behind the broader reliability, implementation, and cloud engineering story.

Product Usage Reporting Extract

Rebuilt a legacy Azure Data Factory usage-report extract as an AWS-native workflow supporting ~360 customers and ~40,000 records per daily run.

Customer Data Delivery Pipeline

Automated a manual Azure VM customer export process with approval, encryption, auditability, separate password/link delivery, and US/Canada data residency.

Centralized AWS WAFv2 Management Platform

Built Terraform and Terragrunt-backed WAF management for EKS and ALB-backed products with shared rules, managed rule groups, GitHub Actions, and OIDC.

Trust Secret Expiration Notifier

Moved SQL Server trust-secret monitoring from Azure Logic Apps to AWS Lambda, EventBridge, Secrets Manager, CloudWatch, and Terraform.

On-Premises to AWS Migration

Supported migration work for customer-facing applications and internal tools with DNS, load balancer, database, and validation changes.

Working Style

AI-assisted where it helps, human-owned where it matters

I use tools like Codex and Kiro to speed up planning, documentation, code review, and debugging. They help with drafts and exploration; final decisions still come from source review, test results, production evidence, and clear handoffs.

Contact Nate