How to Build Technical Teams Across Canada, Latin America, and the U.S.

For established companies, technical hiring is rarely a simple question of budget. The harder issue is finding the right people, in the right market, at the right time without slowing down work already in motion.

A product launch cannot always wait for a long recruiting cycle. A cloud migration may require expertise the internal team does not have. A new client engagement can create an immediate need for delivery capacity. AI initiatives add another layer, particularly as companies look for AI engineers, data specialists, cloud professionals, product leaders, and business technology talent while their existing teams are still responsible for core systems and current priorities.

The World Economic Forum found that 63% of employers surveyed consider skills gaps a primary barrier to business change. Only 29% expect talent availability to improve through 2030, while 42% expect it to decline.

AI is adding to that demand rather than making the talent question disappear. Statistics Canada reported that 25.2% of businesses surveyed in the third quarter of 2026 planned to use AI to produce goods or deliver services during the following 12 months. Among companies with 100 or more employees, that figure reached 37.5%.

Technology leaders are being asked to move faster while the people they need remain difficult to find. Relying on one local hiring market can make an already difficult problem worse, particularly when the company needs several kinds of expertise at once.

The traditional hiring process usually begins with an open position and a local search. For many companies, that is still the right answer for some positions, but it does not need to be the default for every hire.

A better starting point is to look at the work itself.

1. 1What expertise does the company need?
2. 2How long will it need that person or team?
3. 3How closely will they work with customers, leadership, or regulated systems?
4. 4How quickly does the company need them in place?

Once those questions are answered, the organization can decide which hiring model and market offer the strongest options.

A permanent U.S.-based employee may make sense for a position that works closely with customers or senior leadership. A Canadian contractor may bring the exact technical experience needed for a six-month program. A dedicated team in Latin America may give an engineering organization sustained capacity while still working within North American business hours. Some companies will need all three.

The demand for technical talent supports this broader approach. The U.S. Bureau of Labor Statistics projects employment for software developers, quality assurance analysts, and testers to grow 10% from 2025 to 2035, compared with 3% across all occupations. BLS expects roughly 106,100 openings per year across those professions. Data science is growing even faster, with projected employment growth of 35% over the same period.

Employers are already looking beyond traditional recruiting boundaries. Nearly half of those surveyed by the World Economic Forum identified access to more diverse talent pools as one way to improve talent availability. More than one-quarter specifically pointed to remote work across national borders.

The point is not to hire internationally for its own sake. A broader search gives companies more choices when timing, specialization, headcount constraints, or local supply make one market too restrictive.

Companies should not have to choose a staffing partner based on geography before deciding what kind of team they need.

Headquartered in Vancouver, DevEngine provides IT recruitment, contract staffing, permanent recruitment, and team augmentation across the United States, Canada, and Latin America. The hiring model and market depend on the position, timeline, business need, and the way the client wants the team structured.

For U.S. companies, that can mean permanent or contract placements in the United States, permanent or contract placements in Canada, or dedicated nearshore teams in Canada and Latin America. Canadian companies can recruit permanent employees and contractors at home while adding nearshore capacity in Latin America.

The advantage goes beyond access to three geographic markets. Companies can solve several different talent problems through the same partner without forcing every hire into the same structure.

Hiring needs rarely stay static as companies grow. The model that works for a modernization project may look very different from the one required for permanent product growth, an acquisition, or a new AI program. DevEngine can adjust with those needs rather than forcing every search into one service line.

The strongest talent strategy is often the one that gives leadership enough flexibility to make each hiring decision independently. A company can hire permanent employees for long-term leadership, add contractors for specialized work, and build an embedded nearshore team around them.

Some positions belong inside the company for the long term. They carry institutional knowledge, shape teams, build relationships across the organization, and continue long after a single project has ended.

DevEngine recruits permanent technology, product, and business technology professionals in the United States and Canada. Searches may include software and data engineers, AI engineers, cloud and infrastructure specialists, architects, product managers, technical project managers, business analysts, and other professionals connected to technology delivery.

The process starts with the actual position rather than a generic pool of candidates. Technical ability is part of the equation, but it is not the whole one. Seniority, communication, industry experience, stakeholder exposure, and the environment the person will enter can all affect whether a placement works.

This becomes more important as an organization grows. Someone who performs well in a 20-person startup may not be the right person for a company with formal security reviews, procurement requirements, multiple business units, regulated data, or more complex decision-making.

A strong search accounts for the context around the job, not just the technologies listed in the description. For senior and specialized positions, those differences often determine whether someone simply interviews well or actually succeeds after joining the team.

Permanent hiring is not always the best answer. Companies regularly encounter work with a clear timeline, a specialist requirement, or an immediate need for extra capacity.

A six-month cloud program may need additional engineers now. A data initiative may require a senior architect during design and deployment but not as a permanent addition. A growing company may need more people while it decides what the long-term organization should look like.

Contract staffing gives leadership another way to respond without turning every short- or medium-term need into permanent headcount.

DevEngine places technical contractors in the United States and Canada for defined engagements and additional capacity. Those professionals work within the client's organization and under its direction while DevEngine handles the staffing relationship and related administration.

For a mature technology organization, this can also protect the time of the internal team. Senior employees stay focused on work that requires their company knowledge and long-term ownership, while experienced contractors add skills or capacity where they are needed most.

Flexibility should not mean accepting a lower bar. A contractor touching a production environment, regulated platform, customer-facing system, or sensitive data should meet the same professional and technical expectations the company applies to its own team.

Team augmentation gives companies access to dedicated technical capacity without handing the work over to an outside development shop.

With DevEngine, the client continues to own the product, priorities, technical direction, and day-to-day decisions. Engineers and other professionals join the existing organization and report into the client's leadership. DevEngine builds the team and handles the recruiting, employment, HR, and administrative work behind it.

A typical augmentation team may include three to five professionals in Latin America, although the structure can expand based on the engagement. Teams may include software engineers, data engineers, DevOps professionals, AI engineers, QA specialists, architects, and related technical talent. Product and business technology functions can also be added when the work calls for them.

The people on the team work inside the same communication channels, sprint cadence, planning process, and technical standards as their North American colleagues. The aim is not to create a separate offshore group that receives requirements and sends work back. It is to add qualified people to the delivery organization the company already has.

Clients receive a consolidated invoice rather than managing separate employment arrangements across several countries. DevEngine handles the operational side while the client retains control of the work.

The AI boom is creating demand for new expertise, but the hiring challenge is broader than filling positions with "AI" in the title.

The World Economic Forum identifies AI and big data as the fastest-growing skills through 2030, followed by networks and cybersecurity and technological literacy. OECD research also points to changing skill requirements as companies incorporate AI into existing jobs, products, systems, and business processes.

Companies are already responding. Statistics Canada reported that 19.2% of Canadian businesses had used AI to produce goods or deliver services during the 12 months leading into the second quarter of 2026, up from 12.2% a year earlier. Among businesses with at least 100 employees, AI use reached 27.8%.

Larger companies were also changing the way they staffed for that work. Among businesses with 100 or more employees that were using AI, 32.8% reported hiring people with AI-related skills and 30.2% used outside service providers.

An AI initiative may begin with the need for an AI engineer, but getting it into production usually requires more than one specialist. Generative AI applications and agentic systems depend on strong data, cloud infrastructure, security, APIs, software engineering, product direction, and people who can connect technical capabilities to actual business processes.

The staffing conversation has to account for the whole system. Hiring one AI specialist without the people and infrastructure around that person can leave a promising program stuck between a prototype and a usable product.

There is no universal rule for deciding whether a position belongs in the United States, Canada, or Latin America. The right answer depends on what the person will do and how they need to work with the rest of the organization.

A company may prefer a local permanent employee for a position with frequent customer interaction or long-term leadership responsibility. A specialized Canadian contractor may bring experience that is difficult to find locally in the United States. A Latin American engineering team can add significant capacity while maintaining meaningful overlap with North American working hours.

Cost is still part of the decision, particularly when companies are building larger teams. It should not be the only reason for choosing a market.

Technical depth, availability, communication, security requirements, time-zone overlap, employment structure, retention, and the person's relationship with the existing team all belong in the same conversation.

This is where a multi-market IT recruitment and staffing partner can be particularly useful. Instead of beginning with a predetermined answer such as hiring in Latin America, the discussion can start with the work itself. DevEngine can then recruit in the market, or combination of markets, that makes the most sense.

Speed is useful, but the fastest available candidate is not always the right candidate. Large staffing firms may rely heavily on existing benches or broad candidate pools because that model makes it easier to fill openings quickly.

Each search begins with the client's requirements. DevEngine first looks to professionals its team has worked with directly, then to referrals and its database of previously screened candidates. Broader sourcing channels come into play when the right match is not already available through those networks.

Candidates complete an initial recruiter screen that looks at experience, seniority, communication, professional fit, and the requirements of the engagement. Technical finalists then speak with an experienced practitioner who works in a comparable area.

A data engineer should be evaluated by someone who knows data engineering. An Azure professional should speak with someone who has worked in that environment. A resume can show where a person has worked and which technologies appear in their background, but it cannot show how they reason through a technical problem or explain a tradeoff to another person.

The aim is to give the client a focused group of credible candidates rather than another large stack of resumes to sort through. Senior technical leaders already have enough competing demands on their calendars. Recruiting support should reduce the amount of screening they have to do, not simply move more names into their inbox.

For bigger organizations, a successful placement is only part of the equation. Important staffing decisions also include:

• Information security
• Hardware
• Onboarding
• Documentation
• Access controls
• Background screening
• Performance
• Continuity

Those requirements carry even more weight in financial services, healthcare, enterprise software, and other industries where sensitive systems or regulated information are involved.

DevEngine works with client IT and security teams to support those requirements. For nearshore teams, that can include procuring and shipping dedicated laptops that match the client's standards. Contractors can complete background screening and confidentiality requirements before they begin, and client-specific training can be added when an engagement calls for it.

Once people are in place, DevEngine remains involved in the staffing relationship. The client directs the work, while DevEngine handles the employment and administrative side, stays in contact with the team, supports performance discussions, and helps address issues when they arise.

Adding talent should give leaders more capacity, not leave them with another operational system to manage.