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LATAM ENGINEERING. AWS MARKETPLACE PLANNING.

Build your product.
Make AWS spend
work harder.

You need engineers. You’ve got an AWS commitment. Let’s put them in the same plan.

Plan governed LATAM engineering delivery, then buy the agreed service through AWS Marketplace. Any treatment toward an AWS commitment depends on the buyer's AWS agreement and the confirmed offer.

For US CTOs and CIOs. Commitment treatment depends on your offer and AWS agreement. How it works

Team pricing from our capacity planner.Calculate your team cost

FROM AWS BACKLOG
TO ENGINEERING DELIVERY

01 / YOUR AWS WORKLOAD

Start with the work.

EXAMPLE ENGINEERING BRIEF

Move an application onto AWS

Delivery
Migration, testing and release
Team
Cloud, platform and application engineers
Pricing inputs
Role, level, delivery market and seat count

One agreed brief. Clear owners and acceptance criteria.

02 / AWS MARKETPLACE

Buy the agreed scope.

EXAMPLE SERVICE OFFER

TeamStation AI engineering services

Scope
The migration work from step 1
Price
Your calculated team cost, agreed in the offer
Terms
Your procurement review before acceptance

Confirm the offer and AWS agreement before purchase.

03 / ENGINEERING DELIVERY

Deliver the work.
Check eligible spend.

EXAMPLE DELIVERY REVIEW

Migration work and spending, tracked separately

Product work
Engineers deliver against the agreed scope
Evidence
Review milestones, releases and delivery records
AWS commitment
Only eligible billed charges may count

Commitment credit is not cash savings or automatic approval.

Illustrative workflow, not a purchase or eligibility confirmation. Check eligibility

Scope the work → agree the offer → deliver
AVAILABLE INAWS Marketplace
Elite LATAM talentManaged AI SDLCOne operating system

THE BUDGET CONVERSATION

A cloud commitment.
A product backlog.
Why plan them apart?

You’re buying engineering anyway. Before adding another vendor, check whether that same spend can pull double duty.

01

Get the work moving.

Start with the release, migration or AI feature that’s stuck. Build the team around that work, not a pile of resumes.

Explore AWS engineering
02

Make eligible spend count.

A qualifying Marketplace purchase can help meet your AWS commitment while buying work you actually need.

Check AWS’s eligibility rules
03

Negotiate the whole deal.

Renewal coming up? Bring your team budget, expected AWS usage and buying plan to the table before you sign.

Plan the next conversation

SAME NECESSARY WORK. A SMARTER BUYING ROUTE.

Let’s run both
sides of the deal.

What you pay for the team is one number. What the buying route changes is another. Choose roles, levels and seats above, then see both without double counting.

Your planning inputs · USD

Build your role plan with the TeamStation capacity planner. Choose roles, levels and seats, then compare the AWS buying route for the same work and period.

Use the TeamStation capacity planner to build your role and cost plan. No price is shown until the required inputs are complete.

AWS eligibility, allowance and settlement terms need your confirmation.

AWS agreement inputs

Complete every role line in the TeamStation capacity planner above. Missing prices are not estimated.

Check the offer and contract assumptions
No sign-up. Inputs stay in this browser tab.

Enter your pricing and AWS agreement inputs to compare costs.

Modeled period cash differenceYour numbers first.

No guessed eligibility, price or shortfall payment.

Engineering cost differenceNot calculated
TeamStation spend countedNot calculated
PPA gap with the alternativeNot calculated
PPA gap with TeamStationNot calculated
Engineering + modeled shortfall payment
Alternative buying routeNot calculated
Enter a comparable purchase.
TeamStation via MarketplaceNot calculated
Enter your TeamStation plan.

USD, rounded to dollars. Cash in this period, not lifetime ROI. Common AWS charges cancel out. Future-use balances, taxes, financing, changed cloud usage and new AWS discounts are not valued here.

Talk through my actual agreement
See the math and what this comparison leaves out

The TeamStation capacity planner is embedded above, with the same role, level, delivery market and seat inputs as /pricing/capacity-planner. It sums the current monthly price for every selected engineering seat, then carries that plan total into this AWS comparison. All role lines must use the same duration for this single-period comparison. Inputs stay in this browser tab; no private quote is retrieved. The private offer sets the final commercial terms.

For one agreement period: team cost = monthly team price × months. Monthly team price = the sum of seat count × current monthly seat price for every selected role and level. TeamStation contribution = the smaller of eligible team charges or the remaining allowance. Each projected gap = the commitment minus other qualifying spending minus that option’s engineering contribution, floored at zero.

Modeled cash difference = alternative engineering cost − TeamStation engineering cost − extra costs + the difference between the two cash shortfall payments. A negotiated TeamStation discount belongs inside its service price, not in a second savings line.

This quick model assumes constant monthly charges are billed, paid and recognized within the selected period. Reconcile upfront, milestone, delayed or cross-period charges separately. It is not an AWS bill forecast, a contract interpretation, a staffing optimizer or a delivery guarantee. Keep shared AWS usage and pricing the same in both scenarios. Review any future-use balance separately before claiming lifetime savings.

Missing pricing inputs, unknown eligibility or unknown settlement keep the combined result uncalculated. A confirmation box records your statement; it does not connect to AWS or verify an agreement. Zero, a loss and a missing value remain different results.

THE MANAGED AI DELIVERY CHAIN

Elite engineers.
A system behind them.

Skip resume roulette. Put the right judgment at each AI delivery handoff, with clear owners, context and checks.

Explore team topologies
The AI SDLC, one accountable handoff at a time.
01Scope

Product + engineering lead

Agree what matters, what is out of scope and what good looks like.

Agent assistance Organize approved requirements.

Handoff evidence Outcome and acceptance criteria.

Explore engineering leads
02Design

Architect / technical lead

Make the tradeoffs explicit before the team starts building.

Agent assistance Compare options using approved context.

Handoff evidence Reviewed design and failure modes.

Explore cloud engineering roles
03Build

Assigned engineers

Turn the design into reviewable changes, not another pile of unowned code.

Agent assistance Assist with scoped coding and tests.

Handoff evidence Changes linked to requirements.

Explore full stack roles
04Verify

QA / evaluation owner

Challenge the output. Test the edge cases. Show what still needs work.

Agent assistance Run approved checks and organize failures.

Handoff evidence Test results and unresolved risks.

Explore QA automation roles
05Release

Client-authorized release owner

Check access, approve the change and know how to roll it back.

Agent assistance Prepare release evidence.

Handoff evidence Approval and rollback plan.

Explore DevSecOps roles
06Improve

Platform / reliability owner

Use operating evidence to choose the next change. No autopilot decisions.

Agent assistance Summarize approved operating signals.

Handoff evidence Runbooks and the next approved action.

Explore SRE roles

Good thinking beats a polished CV.

Inspect how they think. Check the role fit. You make the call.

Less vendor chaos.
More room to build.

One plan for the operating work around your engineers. Agree the inclusions before launch.

  • Employment + payrollLocal operations and continuity.
  • Devices + MDMEquipment and endpoint controls.
  • Onboarding + supportClear owners and escalation.
  • Delivery evidenceHandoffs, review and visibility.

You keep product priorities and production authority. DEOS connects the agreed employment, devices, MDM, onboarding and delivery support. See who owns what.

We’re pioneering engineering capacity as an operating system. Explore the working research.

Read the AWS migration case study

LATAM TALENT. ONE MANAGED OPERATION.

Hire senior engineers across LATAM.

Start with Mexico, Colombia, Brazil or Argentina. Explore Ecuador, Peru, Costa Rica, Guatemala and beyond. Pick the market, then dial in the team.

Got a role and country in mind?

Go straight to the matching guide. This opens an existing page, not a hiring request.

Cloud engineers in Mexico
Explore cloud engineers in Mexico

THE WORK COMES FIRST

Now dial in the
role and stack.

Got a country in mind? Find the skills and responsibilities your AWS workload needs. Let’s build around the work.

Match the team to the stack you actually run.

Explore cloud infrastructure, product development and data or AI tooling relevant to your AWS workload. These are skills guides, not claims that every tool is included in the offer.

Every path comes back to the same decision: the right team, clear ownership and a cost you can defend. Country or role selection does not determine PPA eligibility.

Plan my engineering team

BEFORE THE NEXT AWS NEGOTIATION

Bring the engineering
budget to the table.

Don’t negotiate your cloud commitment in one room and buy the team in another. Get engineering, finance and your AWS account team around the same plan.

OUR AWS MARKETPLACE LISTING

TeamStation AINearshore Engineering Services for AWS

Open the listing, then choose “Request private offer.” Send the same link to procurement so everyone’s looking at the right service.

Find us on AWS Marketplace https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg
Talk through the plan first

A stronger spending plan can inform the negotiation. Any additional AWS discount has to be agreed, not assumed. Review AWS Private Pricing.

01

What needs to ship?

Pick one funded AWS workload. What’s stuck, what does waiting cost, and who can make the call?

02

What does the whole deal cost?

Agree the role mix and operating scope. Compare the full cost, the eligible spend and the commitment gap.

03

Approve the plan. Then build.

Review terms with the right owners. Request and accept your scoped private offer through our AWS Marketplace listing, then launch against agreed milestones.

NO GUESSWORK

The deal.
The team.
Straight answers.

AWS PPA commitments, Marketplace purchasing and managed engineering, explained without the sales fog.

Explore the Distributed Engineering OS

Taking this to finance or procurement? Read the complete brief as Markdown.

The opportunity

How can we add LATAM engineers and get more value from an AWS commitment?

Put the product roadmap and AWS buying plan in the same conversation. TeamStation supplies senior LATAM engineers and the managed operating system around their work. Buy scoped services through AWS Marketplace. Where AWS confirms eligibility, that necessary engineering spend can also contribute toward your PPA or EDP. Delivery cost and commitment value are separate calculations.

Where can we find TeamStation AI in AWS Marketplace?

Look for “TeamStation AI - Nearshore Engineering Services for AWS.” Open the listing and choose “Request private offer.” We agree the work, team, price and terms before you accept. Send that same listing link to procurement so everyone reviews the right service. Marketplace availability does not, by itself, establish PPA eligibility.

Can TeamStation engineering spend count toward our AWS PPA or EDP?

Eligible Marketplace purchases can count toward AWS commitments. TeamStation is listed as professional services, so confirm this exact offer with your AWS account team. Agree the eligible amount, remaining allowance and recognition period. The calculator leaves eligibility unconfirmed until you supply those terms; a calculated team price does not establish that your purchase qualifies.

Does a Marketplace purchase automatically get us a bigger AWS discount?

No. Negotiate TeamStation’s service price in the private offer. Review AWS discounts in your AWS agreement. Put the engineering forecast into renewal planning, but count any new AWS discount only after it is agreed. A service discount, commitment drawdown and an AWS rate discount are three different things. Don’t count the same benefit twice.

Should we plan this before PPA renewal or only when a shortfall appears?

Start before renewal when practical. Bring the engineering work you actually expect to buy into the AWS spending forecast before agreeing to the next commitment. For an existing agreement, check the projected gap, offer eligibility, remaining allowance and deadline. More committed spend is not the goal. A better total deal and useful product delivery are.

The numbers

What should we budget for a senior engineer?

Use the TeamStation capacity planner to choose a role, level and seat count. It sums the monthly price for every selected engineering seat and calculates the agreement-period total. The AWS comparison uses that same plan. The private offer sets the final price.

How does one engineering purchase create a second financial benefit?

Suppose you need the team and would otherwise owe a cash PPA shortfall payment. An eligible Marketplace purchase can reduce that payment while buying the work. Compare against the same necessary engineering purchase made another way. Include any commitment contribution the alternative already has. A smaller gap is not a refund, and period cash benefit is not lifetime ROI.

How do team size and billing months affect the comparison?

Choose the role, level and number of engineering seats. The capacity planner sums their monthly prices, then multiplies the team total by the agreement months. Only charges recognized within that period can contribute, subject to confirmed AWS eligibility and allowance. A modeled gap reduction is not automatically a cash saving.

What happens when we have fewer months or less Marketplace allowance left?

Only the amount recognized within the agreement period can contribute, subject to the offer’s eligible share and applicable allowance. Use the monthly team cost from the TeamStation pricing model and the number of qualifying billing months. The modeled contribution cannot exceed the remaining confirmed allowance. Use your actual billing and recognition dates.

How does the managed model help lower engineering delivery costs?

Skip the rate-card tunnel vision. Compare the same work, seniority and delivery coverage, including recruiting effort, employment, devices, onboarding and oversight. DEOS connects those operating responsibilities. Count only the costs the agreed scope actually replaces, then include retained work and transition. A lower headline rate alone does not prove a saving.

The team

Who owns the AI software delivery chain?

Name the human owners of scope, architecture, implementation, evaluation, security, release and operations. Give agents bounded tasks, approved context and checks. TeamStation shapes the engineering plan around those responsibilities rather than one generic squad. You retain product priorities and production-access approval. The engagement sets the actual team, operating scope and delivery evidence.

How are engineers evaluated beyond a polished CV?

Axiom Cortex uses technical interview evidence to support human review of engineering reasoning and role fit. Look at how someone breaks down a problem, explains a tradeoff and spots a risk. Nebula adds talent intelligence and market context. You review the evidence and choose the engineer. No resume roulette and no automatic hiring decision.

What comes with the engineers?

The agreed service plan connects talent selection, employment and payroll support, devices and MDM, onboarding, continuity and delivery oversight. Confirm the inclusions, insurance arrangements, working hours and responsibilities in the offer. You get a managed operation around the people, while your team keeps its product and production authority.

Are AWS infrastructure and model-token costs included?

Customer AWS infrastructure charges are separate from engineering services in the published listing. Confirm model usage, software licenses and any other project-specific costs in the private offer. Budget the team and the application’s cloud consumption separately. A team estimate is not an AWS bill forecast.

Countries and fit

Where can we hire LATAM engineers for an AWS team?

Start with the main hiring hubs for Mexico, Colombia, Brazil, Argentina, Ecuador, Peru, Costa Rica and Guatemala, plus Chile and Uruguay. Then inspect the country’s AWS guide or a specific role. Compare working hours, technical evidence and operating scope before choosing. A country page is a planning path, not a promise of immediate availability or PPA eligibility.

Which engineering roles can we plan for AWS and AI delivery?

Start with the missing responsibility: cloud, platform, DevOps, SRE, DevSecOps, QA, data or product engineering. For AI workloads, inspect AI platform, agentic systems, LLM, context, MLOps and governance roles. The linked guides help define the team; the workload decides which roles you need. Don’t add seats just to hit a spending target.

What does the Engineering Capacity OS research add?

Our working research treats people, bounded agents, knowledge, execution controls, telemetry and governed learning as one capacity system. It asks where work is stuck and what should change before adding more headcount. That informs the team conversation. Specific production capabilities and delivery commitments still need their own evidence in the engagement.

What should a CTO or CIO bring to the first conversation?

Bring one AWS workload, the delivery blocker, your rough team budget and the PPA renewal or recognition deadline. We’ll map the responsibilities, compare the full cost and check the Marketplace buying path with the right owners. No need to upload your PPA or credentials to a public form. No fit? We’ll say so.

Two birds.
One engineering plan.

Bring the workload and the AWS timeline. We’ll help you check the fit. No fit? We’ll say so.

Let’s run your actual numbers