Coding alone is no longer enough these days. What skills is the IT market looking for?

The IT industry has undergone its deepest transformation in a decade over the past two years. This is not a temporary disruption, but a permanent shift in the rules of the game and a new way of understanding the work of a software engineer. As a recruiter, I see this every day in the applications I receive. Clean coding has become a commodity, drastically reducing the market value of specialists who limit themselves to narrow, repetitive tasks. This year marks the moment of final reckoning — AI-based systems and advanced automation have taken over processes that, not long ago, engaged entire teams.

Those feeling the impact most acutely are testers — not just manual testers, but automation testers too, whose traditional scripts are being displaced by intelligent systems that generate tests on the fly in response to every code change. Front-end developers focused exclusively on the visual layer face a similar problem, as do administrators operating in the traditional model who have not made the transition to infrastructure managed entirely through code.

Recruitment Realities: The End of "Safe" Niches

The risk also applies to experienced Java and Python developers who have spent years building stable systems but skipped learning how to work within the cloud ecosystem.

I find myself increasingly rejecting candidates with an impressive ten-year track record who have become stuck purely in business logic. A Java specialist who can write an efficient microservice but does not understand how to independently deploy and monitor it in AWS or Azure has a limited ability today to deliver projects of strategic importance to a company. Similarly, a Python developer lacking data engineering competencies loses access to key AI-driven initiatives.

In 2026, engineers are expected to know how to connect AI language models with organizational knowledge bases and to work confidently with vector databases such as Pinecone or Weaviate. Without proficiency in RAG (Retrieval-Augmented Generation) — a technique for supplying an AI model with verified facts from company documentation — a specialist is simply unable to deliver the solutions that modern business demands. These are precisely the terms in the "skills" section that serve as my first signal that a candidate understands where the market is heading.

How These Changes Are Redefining the Engineer's Role (and the Recruiter's)

For those who feel they are falling behind, the only way forward is an immediate update of their skill set. The target role of an engineer should encompass not just writing code, but full ownership of the entire process — from a feature's creation, through its deployment, to ensuring its security.

This transformation is also changing my work as a recruiter. I am no longer looking for people to "churn through tickets," but for genuine business partners. In practice, this means:

• Automation testers should not be focused on manually maintaining scripts, but on designing quality systems.
• Java and Python developers are advised to move beyond language syntax and invest in learning Cloud-Native technologies and tools for working with live data, such as Apache Kafka or serverless solutions.
• FinOps has become an essential discipline — optimizing infrastructure spending while maintaining full automation (Terraform, Kubernetes) is now a standard topic raised in technical interviews.

Synergy and Product Ownership

A piece of code written today must, from the outset, account for the load it will place on servers and whether it opens any security vulnerabilities. Familiarity with the weaknesses of AI models and the application of modern data protection principles (Zero Trust) are now integral parts of every engineer's work.

Today's IT market demands close collaboration between two complementary perspectives: the architect, who designs durable foundations, and the product engineer (Product Engineer / Full-Cycle Developer), who leverages those foundations to rapidly deliver solutions to users. It is precisely this kind of synergy that allows organizations to survive technological transformation.

The most sought-after specialists are those who can independently navigate between data analysis, programming, and secure deployment. Those who win are the ones who understand that technology is merely a tool, and that the only reliable path in 2026 is to move beyond "just coding" toward full ownership of both the product and the system.

The article was published on the HR News website.
Read it here: https://hrnews.pl/umiejetnosci-a-rynek-it-w-2026r/