Service

AWS Cloud Engineering

The engineering discipline behind every AWS platform — design, build, optimize, and support, all anchored to the AWS Well-Architected Framework. The work that keeps a cloud system reliable, secure, performant, and affordable in production.

AWS cloud engineering illustration
How we think

Principles that drive the engineering

Five rules we hold across every engagement. They're the reason production systems we built years ago are still running today.

  1. Well-Architected from commit one

    The six WAF pillars shape the design, the build, and the review — not a report produced at the end. Security, reliability, performance, cost, operations, and sustainability are constraints we design against, not a checklist we satisfy after the fact.

  2. Infrastructure as code, or it didn't happen

    No console drift. No handcrafted environments. Every AWS resource lives in Terraform from the first commit — reproducible, reviewable, and recoverable. If it isn't in code, it isn't production.

  3. Observability before incidents

    Dashboards, traces, structured logs, and alerts are part of the build — not a post-launch retrofit after a customer complaint. The first incident is a chance to respond, not a chance to install the tooling.

  1. Outcomes, not hours

    We set acceptance criteria at design and validate them at acceptance. Fixed-scope where the work is well-defined, time-and-materials where it isn't — either way, the deliverable is the deliverable.

  2. Senior engineers review architectures

    Leads and partners sit in the design review. The people responsible for the outcome are the people on the whiteboard at the start.

  3. We do the work ourselves

    Every line of Terraform, every runbook, every cutover plan comes from a Polymath employee. The engineer named on the SOW is the engineer on the call. If it has our name on it, we wrote it.

What we deliver

AWS Cloud Engineering, end to end

Four modes, all driven by AWS Well-Architected: design, build, optimize, and support. We're the engineers who ship it, run it, and keep it healthy across the lifecycle.

Design
Architecture & Well-Architected reviews

Audit against all six WAF pillars — operational excellence, security, reliability, performance, cost, sustainability — and produce a prioritized remediation plan. The design step before code ships.

Build
Landing zones & platform foundations

AWS Organizations, identity, networking, logging, and guardrails — the Well-Architected baseline every workload sits on. The same discipline produces the AI Landing Zone: Bedrock access over PrivateLink, IAM scoping, guardrails, and cost controls for AI workloads. Built in Terraform from the first commit, not bolted on later.

Build
Infrastructure as code & release engineering

Terraform (default), CDK, or CloudFormation. CI/CD pipelines with approvals, canaries, and rollback. Drift detection, environment promotion, and deployment discipline that doesn't require a war room.

Optimize
Performance & cost engineering

Rightsizing, caching, query tuning, auto-scaling. Savings Plans analysis, tagging, Cost Explorer, budget guardrails. Cloud spend that tracks actual load instead of sprawling past it.

Optimize
Reliability & disaster recovery

Multi-AZ patterns, DR design, failover rehearsals, and game days. Recovery-time and recovery-point objectives you can actually meet under load — and the runbooks to prove it.

Support
Security posture & observability

IAM hygiene, GuardDuty and Security Hub triage, AWS Config conformance packs. CloudWatch dashboards, X-Ray tracing, and alerts that wake the right engineer for the right reason.

Our stack

What we reach for, and why

Foundations

A Well-Architected landing zone in AWS Control Tower, with account structure and guardrails in Terraform. Everything else sits on this.

AWS Organizations AWS Control Tower
Infrastructure as code

Terraform is our default. CDK where a TypeScript team owns the infra. CloudFormation when the customer mandates it.

Terraform AWS CDK AWS CloudFormation
Release engineering

We meet the customer's pipeline — CodePipeline, GitHub Actions, GitLab CI — instead of forcing a tool. Systems Manager for the automation underneath.

AWS CodePipeline AWS Systems Manager
Observability

CloudWatch and X-Ray as the AWS-native foundation. OpenTelemetry where applications already emit it. Alerts that page a person, not a dashboard.

Amazon CloudWatch AWS X-Ray
Security

The triangle: Security Hub for posture, Config for drift, GuardDuty for threat. IAM hygiene is non-negotiable.

AWS Config AWS Security Hub Amazon GuardDuty
Cost & governance

Cost Explorer, Trusted Advisor, and Savings Plans analysis — and tagging discipline from the first commit. Cost that tracks business load.

AWS Cost Explorer AWS Trusted Advisor
How we engage

The way a project actually runs

From first call to production platform in four phases, each with a tangible deliverable you review and sign off before we move to the next.

1
Scope & intake

Understand the workload, the existing AWS footprint, the goals and constraints. Name the six-pillar gaps before anything else. Output: a written scope and a set of priorities you can brief your board with.

2
Design & Well-Architected review

Architect for the specific workload. Document the decisions. Validate the design against WAF. Senior-engineer sign-off before code ships. Output: a signed-off target architecture.

3
Build with IaC & observability

Terraform from the first commit. CI/CD with approvals, canaries, and rollback. Dashboards, traces, and alerts wired in at build time. Output: a production-ready platform, every piece reproducible.

4
Operate & evolve

Handover with runbooks and dashboards. Optional continuation into managed operations, optimization passes, or targeted re-engineering as the business grows. Output: a platform your team owns or we keep running for you.

Case studies

Seen in production

IP Shark

A Brand-Protection Platform, Modernized on AWS — From Monolith to Lambda Microservices

Brand-protection platform modernized from a monolith to Lambda microservices on AWS — released routinely, run in managed operations.

Read the case study
GCP → AWS HPC

From GCP to a Production AWS HPC Platform in 10 Weeks

Semiconductor EDA/HPC platform moved from GCP to AWS ParallelCluster + FSx + c7a — full migration delivered in ten weeks. Qualified through an AWS migration program.

Read the case study
Voice AI Azure → AWS

150 Million Files Moved in One Week — 50% Faster Than the Customer Expected

AI voice-translation platform migrated from Azure to AWS in twelve weeks — 150 million files cut over in one week via DataSync at concurrency.

Read the case study

Ready to scope the engineering?

Tell us the state of your AWS environment — what's running, what's creaking, what's next. We'll anchor the scope to Well-Architected, size the engagement honestly, and come back with a plan you can act on, with us or not.

Book a Discovery Call