Let $n,\ell\in\mathbb N$ for some $n\gg \ell\gg 1$.
The goal is to pick two sequences of numbers, $x_1,\ldots,x_\ell$ and $y_1,\ldots,y_\ell$ such that $$\Sigma_{i=1}^\ell x_i = n\quad{}\mbox{and}\quad{} \Sigma_{i=1}^\ell y_i = \ell\cdot n.$$
Next, there are $\ell$ bins such that bin $i$ contains $x_i$ blue balls. Given a random permutation $\sigma:[\ell]\to[\ell]$, $y_{i}$ is the number of red balls in bin $\sigma(i)$.
From every non-empty bin, a random ball is chosen uniformly, and we win the game if all sampled balls are red.
How can we select $x,y$ to maximize our winning odds?
If we pick $x_1,\ldots,x_\ell=n/\ell$ and $y_1,\ldots,y_\ell=n$, we have that in each bin a red ball will be sampled with probability $1-1/(\ell+1)$ and the chance of getting only red balls would be $(1-1/(\ell+1))^{\ell}\approx 1/e$.
As GMB answered, it's possible to improve this by setting $x_1=\ldots=x_{\ell-1}=0$ and $x_\ell=y_1=\ldots=y_\ell=n$, and getting a success probablity of 1/2.
Is this optimal?
Formulated as a math expression:
What is $\max_{x,y\mid \Sigma_{i=1}^\ell x_i = n, \Sigma_{i=1}^\ell y_i = \ell\cdot n} \quad{} \mathbb E_\sigma\; \left[\prod_{i=1}^\ell \frac{y_{\sigma^{-1}(i)}}{y_{\sigma^{-1}(i)}+x_i}\right]$?