Let $X_1$ and $X_2$ be i.i.d geometric random variables with parameter $q$ (and $p{}={}1-q$). Using the definition of conditional probabilities for discrete random variables, we have
$$
\begin{eqnarray*}
P\left( X_1{}={}x_1\,|\, X_1{}+{}X_2{}={}n\right)&{}={}&\frac{P\left( X_1{}={}x_1\,,\, X_1{}+{}X_2{}={}n\right)}{P\left( X_1{}+{}X_2{}={}n\right)}\newline
&{}={}&\frac{P\left( X_1{}={}x_1\,,\, X_2{}={}n-x_1\right)}{P\left( X_1{}+{}X_2{}={}n\right)}\newline
&{}={}&\frac{P\left( X_1{}={}x_1 \right)P\left( X_2{}={}n-x_1\right)}{\displaystyle \sum\limits_{k{}={}1}^{n-1} P\left( X_2{}={}n-k \,|\,X_1{}={}k\right)P\left(X_1{}={}k\right)}\newline
&{}={}&\frac{P\left( X_1{}={}x_1 \right)P\left( X_2{}={}n-x_1\right)}{\displaystyle \sum\limits_{k{}={}1}^{n-1} P\left( X_2{}={}n-k \right)P\left(X_1{}={}k\right)}\newline
&{}={}&\frac{p^{x_1 - 1}\,q\,p^{n-x_1 - 1}\,q}{\displaystyle \sum\limits_{k{}={}1}^{n-1} p^{k - 1}\,q\,p^{n-k - 1}\,q }\newline
&{}={}&\frac{p^{n-2}\,q^2}{\displaystyle \sum\limits_{k{}={}1}^{n-1} p^{n-2}\,q^2 }\newline
&{}={}&\frac{1}{\left(n-1\right)}\,.
\end{eqnarray*}
$$
This conditional distribution is independent of the parameter $q$.