Every company would like experienced engineers who can handle ambiguity, review difficult changes, and help others make better decisions. Experience does not arrive fully formed. Somebody has to provide work, supervision, feedback, and opportunities to take on more responsibility.
The stork carrying a senior engineer is deliberately absurd. The question underneath it is practical: if an organization only buys experience, how does it contribute to developing the judgment it will need later?
Match opportunities to coaching capacity
A junior role needs more than an available task. It needs a person who can explain the context, review the work, and help the learner understand why an approach succeeds or fails. That time should be included in the plan.
Do not assume that the strongest engineer automatically has the availability or interest to mentor. Ask, support the responsibility, and adjust other commitments. An overloaded mentor can leave a learner waiting while both people are judged against unrealistic expectations.
Some engagements appropriately require an all-senior team. A high-uncertainty initiative or a tightly constrained delivery need may offer little room for learning on the critical path. That does not remove the wider organization's need for a deliberate development route.
Choose work that allows judgment to grow
Start with bounded responsibilities and clear acceptance criteria. Increase ambiguity and independence as the person demonstrates understanding. Ask them to explain their decisions, identify what they do not know, and recognize when to seek help.
A completed task is only part of the evidence. Can the learner apply the lesson to a related situation? Can they explain the tradeoff without repeating someone else's answer? Can they notice a potential failure before a reviewer points it out?
GitLab's mentoring guidance illustrates treating mentoring as intentional work. It is an example of practice rather than a promise that any one mentoring format creates senior engineers on a predictable schedule.
Adapt learning to AI-assisted work
AI can help a learner explore alternatives or draft an explanation. It can also allow a plausible answer to appear before the learner understands the problem. Make explanation and verification part of the task, regardless of the tool used.
Ask what the output assumes, how the person checked it, and which part they would challenge. Give feedback on reasoning and review habits rather than rewarding fast completion alone. The objective is growing independent judgment, not forcing people to avoid useful tools.
Plan experience across the team
A healthy staffing discussion distinguishes immediate delivery needs from longer-term capability development. You may need senior external support now while building internal experience through a separate, supported path.
EnzRossi helps US companies add senior LATAM engineers and technical leadership. Discuss where experienced support is needed, including how responsibilities and knowledge will be shared. The engineering pipeline becomes more credible when someone owns the development work instead of assuming that the next experienced hire will always appear.
