Since the person who lost their pass plays a special role, I find it easier to think about the problem in terms of $1$ loser and $n-1$ keepers.
If the loser happens to take their own seat, everyone else also gets to sit in their own seat, so the probability for any set of people including the loser to end up in their own seats is just $1/n$.
The probabilities of various keepers sitting in their own seats are independent, so the probability for any set of keepers to end up in their own seats is just the product of the individual probabilities.
To see this, let's look at the derivation of the individual probabilities. To simplify things, I'll number the keepers in reverse order of boarding, so keeper $1$ boards last, and keeper $j$ corresponds to your $k=n-j+1$.
The reason keeper $j$ has probability $j\,/\,(j+1)$ of sitting in their own seat is that at exactly one point before keeper $j$ boards, exactly one passenger will choose either the loser's seat or one of the seats of keepers $1$ through $j$, and keeper $j$ will lose their seat iff this choice falls on their seat out of these $j+1$ seats.
Now the probability of $j'\gt j$ taking $j$'s seat certainly depends on whether $j'$ gets their own seat – but that has no bearing on the derivation above. It makes no difference to $j$ whether it's $j'$ who makes that choice and potentially takes $j$'s seat, or someone else before or after $j'$. Independent of whether $j'$ gets their own seat, exactly one person will make that choice, and hence the probabilities for $j$ and $j'$ to get their own seats are independent.
This argument also carries through for more than two keepers, and thus, as claimed, the probability for any set of keepers to end up in their own seats is the product of the individual probabilities. For instance, the probability of all keepers to end up in their own seats is the product of all individual probabilities, which telescopes and yields $1/n$, the probability of the loser choosing their own seat (as it must).