Do not restrict yourself to computational physics. Many researchers in astrophysics that I know did much of their work running models written in FORTRAN. I think the same could be said for fluid dynamics, theoretical nuclear physics, geodesy, chaos, perhaps numerical relativity, and mathematics. You may be able to approach a research advisor or an employer more broadly. For example, if your MS was solving a transport problem in solid state physics, you may find a nuclear physics position interesting, in that a similar transport problem. Nucleons move, and stars move too. The downside is you will have to develop expertise in another area.
In short, I think you may have a hard time finding a position in doing computational physics alone, if you mean solely developing algorithms to calculate physical quantities easily. You may need to find a allied field to apply the computational physics to.
Many so called "modern" programmers are pushing python right now.
However, a lot of earlier (legacy) code is in FORTRAN. I find organizations need (unfortunately they do not always value as much as I think they should) scientists that can program and know FORTRAN enough to understand what the old code did? Why the software was important, and how it can be used effectively in the future? Without knowing these answers, rewriting the code in a "modern" language is pointless.