Bayesian Poisson — a Gamma prior and its posterior mean

Let $X\sim\operatorname{Poisson}(\lambda)$ and a single realization of X resulted in 3. If $\lambda$ has a prior distribution $P(\lambda)=q\lambda e^{-3\lambda}, \lambda>0$, then the posterior mean is given by: