Best Jobs In Software Engineering | Different Types Of Software Engineering Jobs (2022)

Tech with Luca 2022-07-09

Data Science#What are the different types of software engineering jobs#How to become a full stack software engineer#Best software engineering role#Different types of software engineer#How to switch to another software engineering field#how to become a mobile engineer#Software engineer roles#Apply for general software engineer#DIfferent types of FAANG software engineering role#Best Jobs In Software Engineering#Different Types Of Software Engineering Jobs

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💫 Short Summary

In this video, Luca discusses some of the most common software engineering categories, such as data science, machine learning, quantitative analysis, model making, and cybersecurity. He emphasizes the need to have relevant skills and education for these specialized fields and suggests that simply attending a bootcamp may not be enough to become a data scientist in many companies.

✨ Highlights

📊 Transcript

✦

Software engineering jobs are specialized and require specific knowledge and educational background.

00:00

Jobs in data science, machine learning, quantitative analysis, and cybersecurity are common categories separated from general software engineering.

To pursue a career in specialized fields like data science, advanced knowledge or a PhD may be required, and simply attending a bootcamp may not be sufficient.

Schools often offer special tracks for different specializations, such as cybersecurity, data science, and general software engineering, with specific coursework for each.

✦

Quantitative analysis and engineering roles require advanced mathematical and statistical skills, with many candidates having PhDs in physics.

02:15

Physics background can be beneficial for building models similar to those used in quantitative analysis.

Graduate school is recommended for acquiring the necessary skills for quant roles.

Most quant jobs focus more on testing mathematical and statistical skills rather than coding abilities.

✦

Choosing a specific software engineering category, such as full stack, mobile, or test engineer, is important before starting the first job.

04:22

Specialized skills are necessary for different engineering categories.

Internal technology and frameworks vary significantly between different engineering categories.

It's better to pivot early if the chosen engineering category doesn't work out.

Demonstrating the ability to learn and adapt can help when switching between engineering categories.

✦

To switch to a different software engineering field, demonstrate capabilities, learn from other teams, and consider further education or certifications.

06:34

Prove yourself capable and willing to learn at your current job to facilitate a switch to another team within the company.

Observing and learning from other specialized teams can help if you want to transfer to those teams in the future.

Applying to companies that accept a diverse background is important if your current company doesn't offer the desired roles.

Consider further education, such as taking the GRE or GMAT and attending grad school, to enhance the chance of getting accepted in more advanced roles.

00:00 hey guys luca here and today we will be

00:02 talking about some of the most common

00:04 software engineering categories and some

00:07 of the caveats in picking one of these

00:09 categories

00:11 so many people might think software

00:12 engineering is one type of job it

00:15 doesn't really matter what you do you

00:16 will always be a software engineer

00:18 that's not always the case a lot of the

00:20 software engineering jobs are very

00:22 specialized require you to have prior

00:24 knowledge very in-depth educational

00:27 background when you apply for a job

00:29 majority of the job will fall under the

00:32 software engineering category because

00:34 other jobs with more specialized skills

00:36 like they want to hire separately so job

00:38 category that you see very common

00:41 outside of the software engineering

00:42 category are data science machine

00:45 learning

00:46 quantitative

00:48 analysis or model makers

00:51 and cyber security so i would say

00:54 outside of software engineering those

00:56 four are probably very common

00:59 separated out from a software

01:01 engineering job

01:02 so if you are someone who is very

01:04 passionate about machine learning data

01:06 science

01:07 or quant

01:09 then you probably don't want to apply

01:11 for a regular general software

01:13 engineering world

01:15 and you have to really position yourself

01:17 to

01:18 have relevant skill that is more catered

01:21 towards those specialized fields for

01:23 example data science may require you to

01:26 even have a phd or at least more

01:29 advanced knowledge

01:31 and in most cases just by going to a

01:34 bootcamp may not be enough to become a

01:36 data scientist at a lot of the companies

01:39 that's something to keep in mind

01:41 and many schools will also have a

01:43 special track that teaches you

01:46 depending on your specialization so for

01:49 example at my school i we had cyber

01:51 security track the general software

01:54 engineering track and data science track

01:56 i was doing the data science track and

01:59 the coursework included more data

02:01 engineering courses such as using python

02:04 to clean up data

02:06 run back testing

02:08 or you know just simply learn about take

02:11 classes on machine learning

02:13 and these aren't all the courses

02:15 required by a general software engineer

02:17 and moving forward

02:19 for example if you are very interested

02:21 in joining like a hedge fund or quant

02:23 firm

02:24 it's very common they want to hire you

02:26 as a software engineer but if you don't

02:28 want to do just you know the software

02:30 engineering or data engineer who helps

02:32 the quant engineer clean up the data or

02:35 you know build internal tools help make

02:37 their life better then you probably want

02:39 to look closer to the job description

02:41 and you will realize a lot of these

02:43 require a lot of learning and if you

02:46 look at some of the candidates profile a

02:48 lot of them actually have phds in like

02:50 physics because in physics you get to

02:53 build a lot of the models that's very

02:54 similar to how a quant will build models

02:57 that can predict the stocks and because

03:00 of that you also have to require very

03:02 complex mathematics skills most of the

03:05 quant jobs require

03:06 they ask you some sort of stats

03:08 questions they want to test your

03:10 mathematics skill not just coding skill

03:12 because they actually think coding it's

03:14 easier since you're not going to be

03:15 coding most of the time it's more about

03:17 building the model and understanding

03:20 math

03:21 some sort of science at a higher level

03:23 so that's something to keep in mind if

03:24 you want to become a quant

03:26 analyst or like you know quant engineer

03:28 then maybe it's better to stay in school

03:31 it doesn't matter if you study computer

03:32 science or not

03:34 as long as you can go to like a grad

03:36 school that teaches you those skills

03:37 then you should be in a relatively

03:39 better position than most of the

03:41 candidates and quant isn't something

03:43 that you can just go to a boot camp or

03:44 something just really pick up the skill

03:46 and yeah like

03:48 if you are considering these two feel

03:51 it's very important to set yourself up

03:53 before you even consider applying there

03:55 are also different types of software

03:56 engineering jobs the most common ones

03:58 being full stack mobile test engineer or

04:02 info so of course the full stack can

04:05 also be split into client side more of

04:07 focusing on the front-end engineering

04:09 or back-end engineer so like depending

04:12 on your passion and what you enjoy to do

04:14 it's very important to you know try to

04:17 pick one of these categories before you

04:19 even start your first job depending on

04:20 which one you are interested in and

04:22 without a computer science background

04:24 maybe you want to focus more on a

04:26 bootcamp that targets that specific area

04:28 so let's say if you want to become a

04:30 test engineer building tools that can

04:32 automate tests

04:33 monitor like you know release testing

04:36 like how the code base the code held you

04:39 probably want to have private scale

04:40 using like python or whatever common

04:42 testing frameworks and for example if

04:44 you want to become a mobile engineer

04:46 then it's probably very important to

04:47 have some sort of mobile skill prior and

04:50 even without the skill it's also very

04:52 important that your first job that you

04:54 pick is the one that you eventually want

04:56 to stick around with because sure like

04:59 engineering jobs share similarities like

05:02 the back end might be very similar they

05:04 all use some sort of testing framework

05:06 that's very special to the field for

05:07 example in full stack you don't really

05:09 think about how to develop develop

05:11 things from a mobile perspective in

05:14 android there's a lot of like delegate

05:16 patterns fragment usage that's also very

05:19 different from how you would design your

05:21 component based full stack application

05:24 so that's something definitely you want

05:25 to be aware of and from my experience i

05:29 so a lot of my friends for example they

05:31 are one day like oh i want to become an

05:33 ios engineer but my first job is full

05:36 stack hopefully i will be able to

05:37 transition you know to that job but what

05:39 turns out is like once you start your

05:41 first career like a very steep learning

05:44 curve because most companies internal

05:46 technology is very very different from

05:48 what they teach you outside so you

05:49 already spent a lot of time ramping up

05:52 learning it and then you become kind of

05:54 like committed into this field and by

05:57 doing more and more jobs like your

05:59 manager give you a bigger scope project

06:00 you feel more comfortable doing it you

06:02 kind of realize like

06:04 now it's kind of hard to pivot to

06:06 something else so i always recommend

06:08 it's better to pivot early on if

06:10 something doesn't

06:11 work out or it's not something you like

06:12 to do it's better to pivot out before

06:15 you are so committed or if you are okay

06:18 with being extremely committed and prove

06:20 that you can learn then other managers

06:22 may more inclined to let you try new

06:24 things and pick up new skills so those

06:27 are the two things that definitely you

06:28 want to consider which software

06:30 engineering job interests you the most

06:32 is it full stack is it mobile and this

06:34 is something that they don't really

06:36 teach you or show you beforehand so when

06:38 you apply for a general software

06:40 engineering job keep that in mind like

06:42 it's also very different and sometimes

06:44 the job might specifically ask like hey

06:46 we're trying to hire our server engineer

06:48 this is the tag and definitely read

06:50 those blueprints you are down to learn

06:52 whatever skill necessary then it doesn't

06:55 really matter but if you're someone who

06:57 are more passionate and committed into a

06:59 single stack it's always good to

07:01 identify that

07:03 have built relevant skill boot camp

07:06 school works site projects i just

07:08 showcase that you are ready to tackle

07:10 the problem that they can thrive say

07:11 like you're a software engineer you not

07:14 just want to switch like you know within

07:16 this uh sub pillar of software

07:18 engineering you want to switch to some

07:19 of the

07:20 first field i talked about like data

07:22 science machine learning or like you

07:24 know become a quant

07:26 then the question becomes like

07:28 what are your options

07:31 some of the easiest way is probably do

07:33 really really well at your current job

07:35 like prove yourself that you're a

07:37 capable engineer you're willing to learn

07:39 you can do a lot of these tasks like

07:41 very hands-off like you don't need a lot

07:43 of assistance

07:44 and when faced with a challenging

07:46 problem you can learn yourself these are

07:48 good traits and if your company offer

07:50 any of these

07:52 categories then you have sort of like a

07:54 voucher that your boss can watch for you

07:57 and

07:58 because of that you might be able to

08:00 switch into one of those teams and kind

08:02 of like you know observe and learn while

08:04 working closely with them and second

08:06 thing to keep in mind is like if your

08:08 company already have those quant machine

08:10 learning data science roles and you want

08:12 to eventually get into that maybe you

08:14 already want to be working very closely

08:16 with them kind of learn their day-to-day

08:18 and really see if what they're doing is

08:20 what you like and if you can if you can

08:23 observe and learn what they're doing

08:25 then maybe you can offer help

08:26 occasionally and do above and beyond and

08:28 that can set you up to transfer into

08:30 those teams and let's say your company

08:32 doesn't offer any of those zeros then

08:34 that becomes really tricky you want to

08:36 apply to companies that's willing to

08:37 accept like you know more colorful

08:39 background not just committed into this

08:41 role and that becomes very hard and the

08:44 last solution is you know going back to

08:47 school some of these

08:49 tracks

08:50 you could take a boot camp or take some

08:52 sort of certificates that can

08:54 dramatically increase your chance of

08:55 getting accepted but a lot of them they

08:58 still want to see some sort of higher

08:59 level education so maybe you want to

09:01 consider studying for like the gre or

09:03 gmat and potentially go to grad school

09:05 to pursue some of these more advanced

09:07 those are some of the most common

09:09 different types of software engineering

09:11 jobs and depending on the jobs the

09:13 technology will also be very different

09:15 and in the future videos i will talk

09:17 about some of the most popular

09:18 technology that you should learn if you

09:20 want to go into any of these fields but

09:22 in this video it's just going to be an

09:23 overview yeah i hope you guys enjoy this

09:25 video definitely make up your mind it's

09:28 the sooner you make up your mind the

09:29 better it is but it doesn't necessarily

09:31 mean like you can't switch down the line

09:32 if you can always do a good job then it

09:34 doesn't really matter which uh which job

09:36 you start off as because you can because

09:38 you've proven yourself so yeah guys make

09:40 sure to like comment and subscribe and i

09:42 will see you guys next time

09:44 peace

09:52 you

💫 FAQs about This YouTube Video

1. What are some common software engineering categories and the caveats in choosing one?

Some common software engineering categories include data science, machine learning, quantitative analysis, and cybersecurity, which have specific skill and education requirements. Choosing a specialized field like data science may require advanced knowledge or a PhD, and simply attending a bootcamp may not be sufficient.

2. How important is it to have a specialized skill set in software engineering?

Having a specialized skill set in software engineering is important, especially for fields such as data science, machine learning, quantitative analysis, and cybersecurity. These fields often require specific education and training, and having a relevant skill set can be crucial for a successful career in these areas.

3. What is the significance of choosing the right software engineering category?

Choosing the right software engineering category is significant as it determines the specific skill set and knowledge required for a particular field. Each software engineering category has its own set of requirements and opportunities, and choosing the right category is important for a focused and successful career in the field.

4. How can someone switch to a different software engineering field?

Switching to a different software engineering field may require demonstrating capabilities, learning from other teams, or considering further education or certifications. It's important to have a strategy and relevant qualifications to make a successful transition to a new field within software engineering.

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