Moxace

AWS Development With Cost and Architecture in the Same Room

We build on AWS with infrastructure as code, well-architected reviews built in, and a cost model you can read: serverless where it fits, containers where they pay. Fixed written quotes, certified engineers.

15+ years
Building Software
500+
Engineers
25+
Countries Served
100%
Source-Code Ownership

Trusted by the brands we build for

  • Etihad
  • Heineken
  • Marvel Studios

A track record you can verify

/01
Since 2010
15+ Years Building
/02
9,000+
Projects Delivered
/03
3,900+
Apps Shipped
/04
500+
Engineers

insight

What AWS Development Means at Moxace

AWS development at Moxace means cloud engineering where architecture and cost are designed together: infrastructure as code in Terraform or CDK, serverless and containerized workloads chosen per workload profile, and IAM done with least privilege from the start.

Bring us in for greenfield cloud builds, for migrations from data centers or messy console-clicked estates, or for AWS bills that grew faster than the product. We ship the architecture and the cost model together, because they are the same decision.

What Every AWS Development Engagement Includes

Scoped in writing before the first sprint. If it is not on this list, we will tell you exactly what it costs to add it.

Infrastructure as code

Terraform or CDK-managed environments, reviewed in pull requests, reproducible from an empty account.

Serverless where it fits

Lambda and API Gateway for spiky, event-driven workloads, with cold-start and cost behavior measured honestly.

Containers where they pay

ECS or EKS for steady-state services, sized against actual utilization rather than guesses.

Data stores chosen deliberately

RDS, DynamoDB, and S3 matched to access patterns, with backup and recovery rehearsed.

Least-privilege IAM

Roles and policies scoped to actual needs, audited regularly, because over-permissive IAM is the cloud's quiet debt.

Cost architecture

Tagging, budgets, and rightsizing designed in, with a monthly cost model you can actually read.

What You Can Build With AWS Development

Representative outcomes our AWS Development teams deliver.

module

Greenfield cloud platforms

Product infrastructure built as code from account setup to production.

module

Cloud migrations

Data center and legacy-hosting workloads moved to AWS with cutover plans rehearsed.

module

Cost optimization programs

Sprawling AWS estates rightsized, re-architected, and brought under budget.

module

Serverless products

Event-driven applications on Lambda, SQS, and DynamoDB, designed for their cost profile.

How the engagement runs

From first call to handover, with a working build to see every two weeks.

pipeline
  1. 01

    Scoping call

    One hour on workloads, growth plans, and current spend, ending with a fixed written quote.

    ✓ step 01 complete
  2. 02

    Architecture blueprint

    Service topology, network design, and cost model documented before infrastructure exists.

    ✓ step 02 complete
  3. 03

    Two-week build sprints

    Working environments deployed from code every two weeks, with costs tracked openly.

    ✓ step 03 complete
  4. 04

    Verification

    Load tests, failover drills, and security reviews gating every significant release.

    ✓ step 04 complete
  5. 05

    Handover

    Documented IaC repositories, runbooks, and full ownership of code and infrastructure configuration.

    ✓ step 05 complete

The adjacent stack we bring

AWS Development never ships alone. These are the pieces we routinely wire around it.

/01

Terraform and CDK

Infrastructure defined, reviewed, and versioned as code.

/02

Lambda and API gateway

Serverless compute for event-driven workloads.

/03

ECS and EKS

Container platforms matched to team maturity.

/04

RDS, dynamoDB, S3

Data stores chosen per access pattern.

/05

CloudWatch and X-ray

Observability wired from the first deployment.

AI inside the build

Where models genuinely earn their place in AWS Development work. Each ships wired to your data and sharpens as usage compounds.

Amazon bedrock integration

Foundation-model features built on AWS-native AI services.

Reads

Historic aws development usage data and product telemetry

Changes

Recommendations retrain as new data arrives, without a rebuild

SageMaker workloads

Training and endpoint infrastructure managed as code.

Reads

Historic aws development usage data and product telemetry

Changes

Recommendations retrain as new data arrives, without a rebuild

AI cost governance

Token and inference spend tracked with the same discipline as compute.

Reads

Historic aws development usage data and product telemetry

Changes

Recommendations retrain as new data arrives, without a rebuild

Intelligent operations

Anomaly detection on infrastructure metrics feeding automated response.

Reads

Historic aws development usage data and product telemetry

Changes

Recommendations retrain as new data arrives, without a rebuild

Every build ships with

Standard inclusions on every engagement. Nine things you never have to ask for.

  • 100% source code, full IP

    The complete unencrypted codebase transfers to you, with documentation and deployment scripts.

  • Named senior team

    The engineers who scope your build are the ones who write it. No bait-and-switch staffing.

  • Architecture blueprint

    A documented system design covering data model, integrations, and scaling path, written before the first sprint.

  • Sprint demos every 2 weeks

    A working build demonstrated every two weeks, so you steer continuously instead of waiting for a reveal.

  • QA and security testing

    Automated and manual QA on every build, plus a security checklist on each release candidate.

  • CI/CD and monitoring

    Pipelines, cloud deployment, alerting, and observability configured from day one, so launch is a rehearsed event.

  • Fixed written pricing

    A scoped quote in writing before work starts. No hourly meter, no surprise invoices mid-build.

  • 60 days support

    A post-launch support window covering bug fixes and environment issues, standard on every engagement.

  • Handover documentation

    Code, infrastructure, and runbooks documented so any team, ours or yours, can pick the product up cleanly.

Hire a dedicated team or run a Fixed-scope project

Both tracks deliver the same AWS Development quality bar. The difference is control, timeline, and how the work is priced.

analysis
CriteriaDedicated Team (Hire)Fixed-Scope Project
Best forOngoing AWS Development work with evolving prioritiesA defined outcome with a clear finish line
PricingPredictable monthly team rateFixed written quote after scoping
TeamEngineers embedded in your rituals and toolingOur PM, our process, demos every two weeks
FlexibilityReprioritize the backlog any weekChange requests estimated and scheduled
Source code and IP100% ownership on delivery100% ownership on delivery
Start timeTeam in place within 1-2 weeksKickoff within days of the signed scope
/10

Why Teams Choose Moxace for AWS Development

Built by engineers who have shipped production software since 2010.

AI-first engineering

Where it genuinely helps, we fold AI into AWS Development work, from assistants to automation, drawing on 120+ AI products already in production.

Senior-only staffing

You get engineers who have done this before, not a junior bench learning on your budget.

Ownership and cost

A fixed written quote, 100% source-code ownership, and no licensing strings on your own product.

Global delivery, local accountability

500+ engineers serving clients in 25+ countries, with AWS Development work demoed live every two weeks.

AWS Development FAQs

Every engagement is priced with a fixed written quote after a short scoping call, so you approve the number before work starts. Dedicated teams are billed at a predictable monthly rate instead.

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