By Rebecca Keen
If I had to describe the first half of 2026 in tech and cyber recruitment, I would not call it disruptive.
I would call it more selective, more interpretative, and more human than people expect.
From my daily conversations with candidates and hiring managers across tech, cyber, cloud, and AI-driven roles, clear patterns have emerged. These are not trends in the abstract sense, but real behaviours shaping outcomes on both sides of the market.
Here is my view on the current reality.
1. Speed is still there, but certainty is slowing decisions down
I am still seeing remarkable speed at the start of recruitment processes. Good candidates are identified quickly, interviews are scheduled fast, and in-demand profiles in cybersecurity, cloud, and DevOps do not sit long at the CV stage.
Where things have changed is at the very end. Final decisions are taking longer, and it comes down to one element: risk awareness.
Hiring managers are more cautious about:
● Team fit
● Long-term stability
● Adaptability in hybrid environments
● Whether someone can genuinely deliver from day one
So whilst the market looks fast externally, internal decisions are becoming more considered. That gap between “interviewed” and “offered” is where the most friction exists right now.
2. Job specs rarely reflect the real role anymore
A lot of job descriptions no longer reflect the complexity of the position. On paper, they look clean and structured. In reality, they are often a blend of multiple responsibilities.
It is not unusual now to see one role covering:
● Cloud infrastructure and security
● DevOps exposure alongside software engineering
● Compliance awareness tied to regulation
● Increasing expectations around automation or AI usage
My advice to candidates is simple: do not read job specs literally. You have to read between the lines and understand what the business is trying to build, not just what they have written down.
3. Cybersecurity is no longer “just security” in hiring conversations
One of the biggest shifts is how cyber roles are being positioned internally. It is no longer just about protection or tooling.
Instead, it is about:
● Business continuity
● Regulatory pressure
● Cloud complexity
● Operational resilience
The strongest demand I am seeing is in Cloud Security Engineering, IAM (Identity and Access Management), GRC roles linked to regulations like NIS2 and DORA, and security embedded directly into engineering teams. Cyber is now part of business decision-making, not just technical support. That changes how candidates are assessed and how roles are prioritised.
4. AI is influencing expectations more than hiring volumes
There is a lot of noise around AI replacing roles. From my perspective on the ground, that is not happening in cyber or engineering hiring. AI is not reducing demand; it is changing expectations.
Hiring managers are now keenly interested in:
● How candidates use AI in their daily work
● Whether they understand its limitations
● Whether they can still operate independently of it
You do not need to be an AI specialist, but you do need to be able to explain how you use AI as a tool, not a dependency. That distinction is becoming critical.
5. CVs are being judged faster than most people realise
CVs are often scanned in seconds rather than read in detail. In that brief window, hiring managers make quick judgments based on:
● Clarity of experience
● Relevance to the role
● Evidence of impact
● How quickly they can understand your seniority
The CVs that work best right now are not the longest or most detailed. They are the clearest.
My advice:
● Stop listing tools without context
● Focus on outcomes, not responsibilities
● Make your impact obvious within the first half of the CV
If someone has to interpret your CV, you are already at a disadvantage.
6. Interviews are testing thinking, not definitions
Very few companies are interested in textbook answers anymore. Instead, I am seeing:
● Real incident scenarios in cyber interviews
● Architecture trade-off discussions in cloud roles
● Live problem-solving or debugging exercises
● Situational questions around decision-making
Interviews are designed to uncover how you think under pressure. Prepare less for definitions and more for decisions.
7. The strongest candidates are not the most specialised
The top candidates are not always the deepest specialists. They are the ones who can:
● Move between disciplines
● Understand how systems connect
● Communicate technical decisions clearly
● Adapt to different environments quickly
In practice, hybrid profiles are outperforming narrow ones in a lot of mid-level hiring processes. This is not because specialism is less valuable, but because modern environments require flexibility.
If I look at H1 2026 as a whole, I do not see confusion in the market. I see recalibration.
Companies are still hiring, candidates are still moving, and demand remains strong. But the level of interpretation required on both sides has increased. Job descriptions are less precise, expectations are broader, and decision-making is more cautious. The people who are succeeding right now are the ones who look behind the role to understand the actual business need.
Summary advice
● Do not take job specs at face value.
● Focus on clarity, not complexity, in how you present yourself.
● Be ready to explain how you work, not just what you know.
● Understand that hiring decisions are increasingly about trust, not just skill.