Platform engineering nearshore team

As engineering organizations grow past a certain size, a recurring pattern emerges: feature teams spend an increasing share of their time fighting infrastructure friction instead of building product. The response, adopted widely across the industry over the past several years, is platform engineering – a dedicated discipline focused on building internal developer platforms (IDPs) that abstract away infrastructure complexity so feature teams can ship faster with less operational overhead.

Platform engineering sits at an unusual intersection of DevOps, software engineering, and developer experience design, and the talent required is genuinely scarce – most engineers have deep expertise in one of these dimensions, not all three simultaneously. This article covers what platform engineering actually involves, why it’s hard to staff domestically, and how nearshore teams are building this capability.

What platform engineering actually is

An internal developer platform is not simply “DevOps with a new name.” It is a deliberately designed, self-service layer that lets feature engineers provision infrastructure, deploy code, and access observability tooling without needing deep expertise in the underlying cloud architecture.

The discipline emerged in direct response to a documented failure mode: giving every engineer full autonomy over infrastructure decisions (the “you build it, you run it” model taken to its extreme) produces inconsistency, security gaps, and duplicated effort across teams. Centralizing all infrastructure decisions with a small operations team, on the other hand, creates a bottleneck that slows every feature team down.

Platform engineering resolves this tension by building golden paths – well-designed, self-service defaults that make the easy path also the correct path, without removing the ability to customize when genuinely needed.

Why platform engineering talent is so scare

The hybrid skill requirement: A strong platform engineer needs deep infrastructure knowledge (Kubernetes, cloud networking, CI/CD architecture), genuine software engineering ability (the platform itself is a product, often with its own codebase and APIs), and product thinking about developer experience – a combination that is rare because most career paths specialize in only one of these.

The descipline is relatively new: Platform engineering as a formally recognized discipline, distinct from generic DevOps, has only crystallized as a hiring category in the past few years, meaning the domestic talent pool with genuine, title-matched experience is still small relative to demand.

The role requires organizational credibility: A platform team’s golden paths only get adopted if feature teams trust them, which requires platform engineers who can communicate and build relationships across the engineering organization – a further, non-technical filter on an already narrow talent pool.

What a strong platform engineering profile looks like

Infrastructure-as-code depth: Genuine proficiency with Terraform, Pulumi, or equivalent tooling, with an understanding of how to design reusable modules that feature teams can consume without needing to understand the underlying implementation.

Kubernetes and container orchestration: Practical experience operating Kubernetes at a scale relevant to the organization, including the operational maturity to design self-service deployment workflows rather than requiring every team to understand cluster internals.

CI/CD pipeline architecture: Experience designing standardized, reusable pipeline templates that feature teams can adopt with minimal customization, balancing consistency against the flexibility teams genuinely need.

Developer experience orientation: A platform engineer who thinks about internal tooling as a product – with actual usability testing, feedback loops, and adoption metrics – produces meaningfully different outcomes than one who treats the platform purely as infrastructure automation.

Observability and golden signals design: Building default dashboards, alerting, and logging standards that feature teams inherit automatically, rather than each team building observability from scratch inconsistently.

Colombia’s growing DevOps and cloud infrastructure talent pool, shaped by direct exposure to enterprise-scale operations at multinational companies’ Bogota and Medellin hubs, has produced engineers with genuine infrastructure depth – the harder part, in practice, is finding those with the additional product and communication orientation that platform engineering specifically requires, which is where careful vetting matters more than for many other technical roles.

What platform engineering delivers when staffed well

Organizations that invest in platform engineering report meaningfully reduced time from code commit to production deployment, because feature teams no longer need to navigate infrastructure decisions manually for every new service.

Security and compliance posture improves as a byproduct, since golden paths bake in security defaults (network policies, secrets management, access controls) that would otherwise depend on every individual feature team getting these details right independently.

Onboarding new engineers becomes faster, because a well-designed internal developer platform abstracts away much of the infrastructure knowledge a new hire would otherwise need before becoming productive – directly relevant to the broader onboarding speed conversation many engineering leaders are already having.

How to evaluate a nearshore platform engineering candidate

– Can they describe a golden path they designed, and how they measured whether feature teams actually adopted it?

– Do they have genuine infrastructure-as-code experience, not just familiarity with a single cloud console?

– Have they built anything with a user-facing surface – even an internal CLI tool or a self-service portal – reflecting real product thinking?

– How do they think about the tradeoff between standardization and flexibility for feature teams with genuinely different needs?

Conclusion

Platform engineering is one of the more genuinely scarce specializations in software engineering today, precisely because it demands a rare combination of infrastructure depth, engineering rigor, and product thinking. Colombia’s maturing DevOps and cloud talent pool, combined with careful vetting for the product-oriented mindset the discipline specifically requires, gives growing US engineering organizations a credible path to building this capability – reducing infrastructure friction for every feature team, not just the platform team itself.

Bibliography

Skelton, M., and Pais, M. (2019). Team Topologies: Organizing Business and Technology Teams for Fast Flow. IT Revolution Press.

Humble, J., and Farley, D. (2023). Continuous Delivery: Reliable Software Releases Through Build, Test, and Deployment Automation. Addison-Wesley Professional.