--- title: "AWS Engineering & Marketplace | TeamStation AI" description: "Plan governed LATAM engineering delivery, then buy the agreed service through AWS Marketplace." canonical: https://teamstation.dev/partner/aws markdown_url: https://teamstation.dev/markdown/partner/aws.md version: "5.0.0" last_reviewed: "2026-10-12" language: en-US content_type: commercial_service_page publication_status: prepared_not_published --- Canonical: https://teamstation.dev/partner/aws # AWS Engineering & Marketplace | TeamStation AI ## Route Governance - Canonical URL: https://teamstation.dev/partner/aws - Search index status: index - Sitemap eligible: true - Schema eligible: true - Primary intent: Build your product. Make AWS spend work harder. - Intent owner: /partner/aws - Policy reason: canonical owner of an approved buyer-search intent ## Summary 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. [View on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) [Book a demo](https://scheduler.zoom.us/dan-diachenko/teamstation-ai) [Review my AWS team plan](https://teamstation.dev/partner/aws#opportunity) For US CTOs and CIOs. Commitment treatment depends on your offer and AWS agreement. [How it works](https://teamstation.dev/partner/aws#ppa-eligibility) **Team pricing from our capacity planner.** [Calculate your team cost](https://teamstation.dev/partner/aws#senior-pricing) - Research: [Read the Axiom Cortex research on SSRN](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5433397) - Client review: “TeamStation AI was very hands-on, personable, and collaborative.” Director of Engineering, Manufacturing Software Company. [Read the review on Clutch](https://clutch.co/go-to-review/e607a571-c9df-442f-af54-ccc676ce5f15/159594) - Buy through AWS: [View on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) ## From AWS backlog to engineering delivery Illustrative workflow, not a purchase or eligibility confirmation. 1. **Scope the work.** Example: move an application onto AWS. Define the migration, testing and release work, the cloud, platform and application engineers, and the acceptance criteria. Choose the role, level, delivery market and number of seats for the plan. 2. **Agree the offer.** The TeamStation AI service offer covers the migration work from step 1. The service price is agreed in your offer. Procurement reviews the terms before acceptance. Confirm the offer and AWS agreement before purchase. 3. **Deliver the work.** Engineers deliver against the agreed scope. Review milestones, releases and delivery records. Track migration work and spending separately. Only eligible billed charges may count toward the AWS commitment. Commitment credit is not cash savings or automatic approval. [Check eligibility](https://teamstation.dev/partner/aws#ppa-eligibility) ## A cloud commitment. A product backlog. Why plan them apart? You’re buying engineering anyway. Check the team cost and the AWS buying route together, then verify any commitment treatment against your agreement. ### 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](https://teamstation.dev/hire/by-technology/aws) ### Check what counts. Ask your AWS account team whether the exact professional-services offer qualifies under your agreement before including it in a commitment forecast. [Review AWS professional services](https://docs.aws.amazon.com/marketplace/latest/userguide/proserv-products.html) ### 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](https://teamstation.dev/partner/aws#marketplace) ## From planning to production A clear path from team design to governed delivery, with AWS purchasing aligned to your agreement. 1. **Configure capacity.** Define the roles, seniority and LATAM market for your team. Inputs: role and seniority, LATAM country, quantity and start window. 2. **Confirm offer.** Review the proposed team, monthly scope and AWS purchasing terms. Inputs: agreed scope, AWS buyer agreement and applicable commitment terms. 3. **Launch and govern.** Onboard your team and operate with continuous governance. Outputs: engineers onboarded, delivery governance, ongoing support and reporting. ## Senior 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](https://teamstation.dev/engineering-team-topologies) ### Scope ### 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](https://teamstation.dev/hire/by-role/engineering-lead) ### Design ### 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](https://teamstation.dev/hire/by-role/cloud-engineer) ### Build ### 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](https://teamstation.dev/hire/by-role/full-stack-developer) ### Verify ### 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](https://teamstation.dev/hire/by-role/qa-automation-engineer) ### Release ### 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](https://teamstation.dev/hire/by-role/devsecops-engineer) ### Improve ### 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](https://teamstation.dev/hire/by-role/site-reliability-engineer) ### Good thinking beats a polished CV. Inspect how they think. Check the role fit. You make the call. [Nebula AI](https://teamstation.dev/nebula-ai-talent-graph) Talent intelligence for the work. [Axiom Cortex](https://teamstation.dev/axiom-cortex-engineer-vetting) Neuro-psychometric interview analysis. Evidence for human review. ### Less vendor chaos. More room to build. One plan for the operating work around your engineers. Agree the inclusions before launch. - **Employment + payroll**: Local operations and continuity. - **Devices + MDM**: Equipment and endpoint controls. - **Onboarding + support**: Clear owners and escalation. - **Delivery evidence**: Handoffs, 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.](https://teamstation.dev/nearshore-control-plane) We’re pioneering engineering capacity as an operating system. [Explore the working research.](https://engineering.teamstation.dev/research/engineering-operating-system/) [Read the AWS migration case study](https://teamstation.dev/case-studies/manufacturing-software-platform-engineering) ## 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. - ### [Hire engineers in Mexico](https://teamstation.dev/hire/by-country/mexico) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/mexico) · [AWS engineers](https://teamstation.dev/hire/by-country/mexico/aws) - ### [Hire engineers in Colombia](https://teamstation.dev/hire/by-country/colombia) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/colombia) · [AWS engineers](https://teamstation.dev/hire/by-country/colombia/aws) - ### [Hire engineers in Brazil](https://teamstation.dev/hire/by-country/brazil) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/brazil) · [AWS engineers](https://teamstation.dev/hire/by-country/brazil/aws) - ### [Hire engineers in Argentina](https://teamstation.dev/hire/by-country/argentina) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/argentina) · [AWS engineers](https://teamstation.dev/hire/by-country/argentina/aws) - ### [Hire engineers in Ecuador](https://teamstation.dev/hire/by-country/ecuador) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/ecuador) · [AWS engineers](https://teamstation.dev/hire/by-country/ecuador/aws) - ### [Hire engineers in Peru](https://teamstation.dev/hire/by-country/peru) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/peru) · [AWS engineers](https://teamstation.dev/hire/by-country/peru/aws) - ### [Hire engineers in Costa Rica](https://teamstation.dev/hire/by-country/costa-rica) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/costa-rica) · [AWS engineers](https://teamstation.dev/hire/by-country/costa-rica/aws) - ### [Hire engineers in Guatemala](https://teamstation.dev/hire/by-country/guatemala) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/guatemala) · [AWS engineers](https://teamstation.dev/hire/by-country/guatemala/aws) - ### [Hire engineers in Chile](https://teamstation.dev/hire/by-country/chile) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/chile) · [AWS engineers](https://teamstation.dev/hire/by-country/chile/aws) - ### [Hire engineers in Uruguay](https://teamstation.dev/hire/by-country/uruguay) [Nearshore country guide](https://teamstation.dev/nearshore-software-development/uruguay) · [AWS engineers](https://teamstation.dev/hire/by-country/uruguay/aws) Compare the [LATAM country overview](https://teamstation.dev/latin-america-nearshore-software-development) and [country salary context](https://teamstation.dev/latam-developer-salary-quality-of-life). Confirm the role, working hours and operating scope before choosing the team. ## 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. ### Build the team around the AWS workload. Pick the missing responsibility, not just a job title. These role guides cover the skills and judgment to inspect across your AI SDLC. #### Cloud, reliability & quality - [Cloud engineers](https://teamstation.dev/hire/by-role/cloud-engineer) - [DevOps engineers](https://teamstation.dev/hire/by-role/devops-engineer) - [Platform engineers](https://teamstation.dev/hire/by-role/platform-engineer) - [Site reliability engineers (SRE)](https://teamstation.dev/hire/by-role/site-reliability-engineer) - [DevSecOps engineers](https://teamstation.dev/hire/by-role/devsecops-engineer) - [QA automation engineers](https://teamstation.dev/hire/by-role/qa-automation-engineer) ### 2 more roles - [Software development engineers in test (SDET)](https://teamstation.dev/hire/by-role/sdet) - [Data engineers](https://teamstation.dev/hire/by-role/data-engineer) #### Product engineering & leadership - [Engineering leads](https://teamstation.dev/hire/by-role/engineering-lead) - [Backend developers](https://teamstation.dev/hire/by-role/backend-developer) - [Full stack developers](https://teamstation.dev/hire/by-role/full-stack-developer) - [Frontend developers](https://teamstation.dev/hire/by-role/frontend-developer) - [Forward deployed engineers](https://teamstation.dev/hire/by-role/forward-deployed-engineer) - [Cognitive systems architects](https://teamstation.dev/hire/by-role/cognitive-systems-architect) #### AI, agents & model operations - [AI platform engineers](https://teamstation.dev/hire/by-role/ai-platform-engineer) - [Agentic systems engineers](https://teamstation.dev/hire/by-role/agentic-systems-engineer) - [LLM engineers](https://teamstation.dev/hire/by-role/llm-engineer) - [Context engineers](https://teamstation.dev/hire/by-role/context-engineer) - [MLOps engineers](https://teamstation.dev/hire/by-role/mlops-engineer) - [AI governance engineers](https://teamstation.dev/hire/by-role/ai-governance-engineer) ### 8 more roles - [AI engineers](https://teamstation.dev/hire/by-role/ai-engineer) - [AI software engineers](https://teamstation.dev/hire/by-role/ai-software-engineer) - [AI systems engineers](https://teamstation.dev/hire/by-role/ai-systems-engineer) - [AI operations engineers](https://teamstation.dev/hire/by-role/ai-operations-engineer) - [Senior loop engineers](https://teamstation.dev/hire/by-role/senior-loop-engineer) - [Human AI workflow engineers](https://teamstation.dev/hire/by-role/human-ai-workflow-engineer) - [Machine learning engineers](https://teamstation.dev/hire/by-role/machine-learning-engineer) - [Prompt engineers](https://teamstation.dev/hire/by-role/prompt-engineer) ### 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. #### Cloud & infrastructure - [AWS engineers](https://teamstation.dev/hire/by-technology/aws) - [Kubernetes engineers](https://teamstation.dev/hire/by-technology/kubernetes) - [Terraform engineers](https://teamstation.dev/hire/by-technology/terraform) #### Product stack - [Python developers](https://teamstation.dev/hire/by-technology/python) - [Node.js developers](https://teamstation.dev/hire/by-technology/node) - [Go developers](https://teamstation.dev/hire/by-technology/go) - [Java developers](https://teamstation.dev/hire/by-technology/java) - [React developers](https://teamstation.dev/hire/by-technology/react) - [Next.js developers](https://teamstation.dev/hire/by-technology/nextjs) #### Data & AI stack - [Snowflake engineers](https://teamstation.dev/hire/by-technology/snowflake) - [Databricks engineers](https://teamstation.dev/hire/by-technology/databricks) - [RAG engineering](https://teamstation.dev/hire/by-technology/rag) - [LLM application engineering](https://teamstation.dev/hire/by-technology/llm) - [MLOps engineering](https://teamstation.dev/hire/by-technology/mlops) Need to pin down AWS services such as IAM, VPC, Lambda, EKS or RDS? Start with the [AWS engineering guide](https://teamstation.dev/hire/by-technology/aws) and scope the work with your architecture owner. 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](https://teamstation.dev/pricing/capacity-planner) ## One all-inclusive monthly managed engineering seat A single monthly price for the agreed managed engineering seat, with inclusions confirmed in your offer. ### Included in the agreed seat - Platform and evaluation - Workforce operations - Devices and security - Agreed workspace and applicable insurance - Delivery governance Confirm inclusions and responsibilities in your offer. Customer cloud consumption is separate; commitment treatment is not automatic. ## Your scope. Your offer. Your AWS agreement. We'll help you review the engineering scope and AWS buying route. The final service price is agreed in your AWS Marketplace private offer. ### We'll work through your commitment with you. This page does not calculate PPA or EDP drawdown, shortfall payments or savings. Those depend on your agreement, the exact Marketplace offer and AWS confirmation. 1. **Price the work.** Bring the role plan and intended buying period. 2. **Check the agreement.** Review PPA or EDP terms, timing, eligible purchases and any limits with your procurement and AWS account teams. 3. **Confirm before claiming value.** Use only the eligibility and treatment AWS confirms for your exact offer. Do not count a possible commitment contribution as cash savings. [Review my AWS agreement](https://scheduler.zoom.us/dan-diachenko/teamstation-ai). No agreement upload or private financial information is requested on this public page. [Read AWS guidance on professional services offers](https://docs.aws.amazon.com/marketplace/latest/userguide/proserv-products.html). ## Bring the engineering budget to the table. Plan AWS engineering teams, compare monthly role pricing and review the Professional Services offer against your PPA or EDP commitment terms. Get engineering, finance and your AWS account team around the same plan. OUR AWS MARKETPLACE LISTING ### [TeamStation AI: Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) 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](https://scheduler.zoom.us/dan-diachenko/teamstation-ai) A stronger spending plan can inform the negotiation. Any additional AWS discount has to be agreed, not assumed. [Review AWS Private Pricing.](https://aws.amazon.com/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. Review the team price, offer terms and any AWS-confirmed commitment treatment. 03 ### Approve the plan. Then build. Review terms with the right owners. Request and accept your scoped private offer through our [AWS Marketplace listing](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg), then launch against agreed milestones. ## The deal. The team. Straight answers. AWS PPA commitments, Marketplace purchasing and managed engineering, explained without the sales fog. [Explore the Distributed Engineering OS](https://teamstation.dev/distributed-engineering-os) ### The opportunity ### How can we add LATAM engineers and get more value from an AWS commitment? TeamStation AI sells Professional Services through AWS Marketplace. We help you line up the engineering plan with your PPA or EDP commitment. Start with the work and the team you need. Then confirm with AWS how much of the spend will count under your agreement. Counting toward a commitment is not the same as saving on delivery. [Distributed Engineering Operating System](https://teamstation.dev/distributed-engineering-os) · [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) ### Where can we find TeamStation AI in AWS Marketplace? The Marketplace link on this page opens our Professional Services listing. Send that same link to procurement. We agree scope, price and terms in a private offer before you accept. [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [AWS Marketplace private offers](https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-private-offers.html) · [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) ### Can TeamStation engineering spend count toward our AWS PPA or EDP? It may. Our Professional Services are sold through AWS Marketplace. Your AWS account team confirms how much counts, any limits and the billing period. Check this before you accept the offer. It is not a cash refund or an automatic new discount. [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) · [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) ### 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. [AWS Marketplace private offers](https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-private-offers.html) · [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) ### 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 what is left on the commitment, offer eligibility, remaining allowance and deadline. More committed spend is not the goal. A better total deal and useful product delivery are. [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) · [AWS Marketplace private offers](https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-private-offers.html) ### The numbers ### What should we budget for a senior engineer? Use the TeamStation capacity planner to choose roles, levels and seat counts. It totals the monthly engineering plan. The private offer sets the final service price; the planner does not calculate PPA or EDP treatment. [Engineering capacity planner](https://teamstation.dev/pricing/capacity-planner) · [TeamStation pricing](https://teamstation.dev/pricing) ### How does one engineering purchase create a second financial benefit? Do not assume a second financial benefit. First price the engineering work, then ask AWS and procurement whether the exact offer contributes to your commitment under your agreement. A possible drawdown is not a cash saving, refund or agreed discount. [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) · [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) ### How do team size and billing months affect the comparison? Choose roles, levels and seat counts to see the monthly engineering plan. The final buying period and price belong in the private offer. PPA or EDP treatment depends on your agreement and AWS confirmation, so this page does not project a commitment gap or saving. [Engineering capacity planner](https://teamstation.dev/pricing/capacity-planner) · [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) ### What happens when we have fewer months or less Marketplace allowance left? Timing and any remaining Marketplace allowance may affect treatment under your agreement. Review actual offer billing dates, eligible purchases and recognition rules with AWS and procurement. This page does not infer a contribution from team size or months alone. [AWS Marketplace product-specific committed-spend guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.html) ### 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. [Distributed Engineering Operating System](https://teamstation.dev/distributed-engineering-os) · [TeamStation pricing](https://teamstation.dev/pricing) · [Nearshore Control Plane](https://teamstation.dev/nearshore-control-plane) ### 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. [Engineering Capacity Operating System Research](https://engineering.teamstation.dev/research/engineering-operating-system/) · [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [Engineering team topologies](https://teamstation.dev/engineering-team-topologies) ### 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. [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [Axiom Cortex engineer vetting](https://teamstation.dev/axiom-cortex-engineer-vetting) · [Nebula AI Talent Graph](https://teamstation.dev/nebula-ai-talent-graph) ### 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. [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [Nearshore Control Plane](https://teamstation.dev/nearshore-control-plane) · [Distributed Engineering Operating System](https://teamstation.dev/distributed-engineering-os) ### 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. [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) ### 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. [LATAM nearshore country overview](https://teamstation.dev/latin-america-nearshore-software-development) · [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) ### 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. [Hire AWS engineers](https://teamstation.dev/hire/by-technology/aws) · [Engineering team topologies](https://teamstation.dev/engineering-team-topologies) ### 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. [Engineering Capacity Operating System Research](https://engineering.teamstation.dev/research/engineering-operating-system/) · [Distributed Engineering Operating System](https://teamstation.dev/distributed-engineering-os) ### 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. [TeamStation AI - Nearshore Engineering Services for AWS](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) · [AWS Marketplace private offers](https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-private-offers.html) ## One engineering plan. Clear buying terms. Bring the workload and the AWS timeline. We’ll help you check the fit. No fit? We’ll say so. [Book a demo](https://scheduler.zoom.us/dan-diachenko/teamstation-ai)