--- 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 and buy the agreed service through AWS Marketplace. Any treatment toward an AWS commitment depends on the buyer's AWS agreement and the confirmed offer. [Run my AWS numbers](https://teamstation.dev/partner/aws#roi) [Find us on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-3b4vlfmi4gikg) 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) ## 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. Your calculated team cost must be agreed in the 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. Before adding another vendor, check whether that same spend can pull double duty. ### 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) ### 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](https://docs.aws.amazon.com/marketplace/latest/buyerguide/multi-product-solutions-buyer-faq.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) ## Let’s run both sides of the deal. What you pay for the team is one number. What the buying route changes is another. See both, without double counting. ### Your engineering cost and AWS commitment comparison Team pricing uses TeamStation’s current capacity-pricing model. The browser calculates locally from the selected role, level, delivery market and seat count. Required pricing inputs: - Role, level, delivery market and seat count for each capacity planner line. - The current monthly seat price for each selected role and level. - One shared agreement duration across all role lines for the AWS comparison. The full TeamStation capacity planner is embedded on this page, including mixed roles and rates. Its complete monthly total and billing period feed the AWS comparison directly. No separate team price is entered, and incomplete plans never become a zero-dollar quote. Different role durations remain available in the planner, but must match before comparing one AWS agreement period. Supply the comparable team cost, commitment, other qualifying spend, alternative contribution and additional costs separately. Leave AWS eligibility and settlement unchecked until confirmed. Unknown is not zero. A smaller commitment gap is not automatically a cash saving. Common AWS charges cancel out because this comparison holds them equal. This is a period cash comparison, not lifetime ROI. Future-use balances, taxes, financing, changed cloud consumption and new AWS discounts are not valued here. The checkboxes record the buyer’s statement; they do not verify a contract or connect to AWS. [Use the interactive comparison](https://teamstation.dev/partner/aws#roi) or [open the existing capacity planner](https://teamstation.dev/pricing/capacity-planner). ### 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. [Check the TeamStation pricing model](https://teamstation.dev/pricing)[Build the actual role and cost plan](https://teamstation.dev/pricing/capacity-planner)[AWS billing and payment guidance](https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-paying-for-products.html) ## 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](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) ## 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 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. 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](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? 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. [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? 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. [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? 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. [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 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. [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 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. [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? 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. [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 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. [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? 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. [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) ## 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](https://scheduler.zoom.us/dan-diachenko/teamstation-ai)