For your headline Software Engineer is generic.
Most CompSci grads like to use the "Engineer" and if you are trying to align with a company culture where the people hiring also hold CompSci titles than you may want to keep "Software Engineer"
I see your last project was .NET stack so I may suggest this as your headline:
Full Stack .NET Software Engineer
I think you need to pick a language and focus on it. Since you have Python, Java and .NET
Certain titles can imply the usage of more than one language and then allows you to choose a primary language you promote.
So for example, if you wanted to be a Data Engineer I'm going to expect you know Java really well and so you can double down on that.
If you are a Data Scientist I'm going to expect Python.
When you're mixing languages its normally going to be Javascript Flavor + Primary Langauge.
That's the thing though, I'm applying for web dev jobs with different stacks so I don't want to limit myself. I'm even applying for mobile development and data science. I may try the ES6 + Python combination as I've done projects that used both and consider myself as a beginner in .NET.
Thanks a lot for your reply!
I think that without specialization in your profile the result is likely you'll be applying to more jobs such as 20-30 applications before you see conversion and you may become overwhelmed with the number of challenges, take homes or additional study required which is a common complaint by juniors here on DEV.to.
Last time I went to the job market, I only applied to 7 and had 6 formal offers and I attribute this to exact 1-to-1 alignment with the job excluding anything unrelated even if it was transferable knowledge. I don't believe this is the result of being a senior since in-fact played down my years of experience to combat against ageism.
Python is an excellent choice and is on the rise.
React is also a great way to enter the market.
If you have an interest in data-driven startups which are clamouring for developers may I suggest:
ES6, Python, Django, Pandas
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For your headline Software Engineer is generic.
Most CompSci grads like to use the "Engineer" and if you are trying to align with a company culture where the people hiring also hold CompSci titles than you may want to keep "Software Engineer"
I see your last project was .NET stack so I may suggest this as your headline:
I think you need to pick a language and focus on it. Since you have Python, Java and .NET
Certain titles can imply the usage of more than one language and then allows you to choose a primary language you promote.
So for example, if you wanted to be a Data Engineer I'm going to expect you know Java really well and so you can double down on that.
If you are a Data Scientist I'm going to expect Python.
When you're mixing languages its normally going to be Javascript Flavor + Primary Langauge.
eg.
That's the thing though, I'm applying for web dev jobs with different stacks so I don't want to limit myself. I'm even applying for mobile development and data science. I may try the ES6 + Python combination as I've done projects that used both and consider myself as a beginner in .NET.
Thanks a lot for your reply!
My suggestion, in this case, is to curate a unique résumé for the requirements of the job and keep your LinkedIn profile specific to one technology.
This will allow you a bit more reach.
I think that without specialization in your profile the result is likely you'll be applying to more jobs such as 20-30 applications before you see conversion and you may become overwhelmed with the number of challenges, take homes or additional study required which is a common complaint by juniors here on DEV.to.
Last time I went to the job market, I only applied to 7 and had 6 formal offers and I attribute this to exact 1-to-1 alignment with the job excluding anything unrelated even if it was transferable knowledge. I don't believe this is the result of being a senior since in-fact played down my years of experience to combat against ageism.
Python is an excellent choice and is on the rise.
React is also a great way to enter the market.
If you have an interest in data-driven startups which are clamouring for developers may I suggest:
ES6, Python, Django, Pandas