Ask a hiring manager what they’re assessing in a senior engineering interview these days, and the tech stack barely comes up.
They’ll talk about whether this person can hold their ground with Product and Data, whether they’d push back on a decision they thought was wrong, whether they can explain a technical call to someone who doesn’t write code.
Every credible candidate at that level can already write good code, so it stops being what separates the ones who get hired and promoted from those who stall.
What separates them is whether they can operate beyond it, and that’s the layer most senior interview processes still don’t test for.
What to test for beyond the code
When hiring managers talk to me about senior engineers, the qualities that come up over and over aren’t technical. In an interview, they show up as:
- Can they explain a technical decision to someone outside engineering?
- Would they push back on a plan they believed was wrong?
- Do they understand why the business is asking for what it’s asking for?
- Can they hold their own on commercial trade-offs with Product and Data, as well as with other engineers?
If your senior process is still weighted heavily toward algorithmic or purely technical rounds, it’s testing the thing that’s now the baseline and leaving the thing that predicts success untested.
Build in a deliberate stage to cover it, such as:
- A case discussion built around a real business problem
- A cross-functional scenario involving Product or Data
- A structured conversation about a past decision the candidate owned
Don’t leave it to show up informally in a coding round.
By the time it’s missing, the hire is already made.
Why this matters more as AI takes on execution
As AI takes on more of the executional work, the parts of senior engineering that are hardest to automate become more valuable, not less.
Deciding what should be built, owning the outcome and being accountable when something goes wrong don’t get easier to automate as the tooling improves.
If anything, they matter more, because there’s more output moving through the system and someone still has to decide whether it’s the right output and stand behind that decision.
What the research says about technical capability and human skills
PwC’s 2026 Global AI Jobs Barometer analysed more than one billion job postings across six continents.
It found that employers increasingly value the combination of technical capability and human skills such as leadership, creativity and professional judgement over technical capability alone.
It’s a global finding rather than an Australia-specific one, but it lines up with what I’m seeing in senior engineering hiring here.
Technical depth gets a candidate into the room, and the rest of it decides whether they get the offer.
Ready to talk about your next engineering hire? Get in touch.
Liam
Technology & Software Engineering Recruitment
Last updated: September 2026
