As others have said, software development isn't required for a life in bioinformatics, but if you can't program a bit in the shell and/or a scripting language like Perl or Python, you're going to find yourself at the bottom of a large pile of candidates who can.
I will disagree though that bioinformatics isn't related to software development/engineering. It most certainly is. Someone has to develop new algorithms for new data types, has to wrap the algorithms up into tools, has to glue tools together, has to understand how to go from experimental design to analytical robustness. If you have programming skills, you'll be in a far better place to carry out these tasks yourself.
Bioinformatics has exploded into so many spaces, especially in the last ten years, and it's true that much of the work lies in running existing tools. However more graduates are expected to do some development at least to create pipelines for automating repetitive analytical tasks over large datasets. This is why many courses teach basic programming in a scripting language to bring students up to speed with concepts such as loops, boolean logic and file processing to make them more attractive to employers.
I would say that bioinformatics is becoming more and more dependent on software, and as Dan D says, we have a great ethos of open source which benefits the whole community. Being part of that community as a developer, at whatever level, is what makes the discipline so interesting and forward thinking, IMO.
I would very much suggest that you check out training oufits such as Software Carpentry, Data Carpentry, rOpenSci and School of Data. These are great resources and opportunities to improve your skills as a bioinformatician.