AWS
Which roles require it and how much it matters — mapped across real job-role profiles.
Short answer: AWS is asked for by 13 of the 103 job-role profiles Skilture maps, and is a core requirement in 5 — most heavily by Cloud Engineer, Data Engineer and DevOps Engineer.
Source: Skilture's 103 job-role profiles · Updated
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- Roles that list it
- 13 of 103
- Core requirement
- 5 rolesnon-negotiable there
- Skill type
- Technicalhard, teachable
Who hires for AWS?
The roles in Skilture's catalogue that list AWS, and how heavily each one weights it.
AI Engineer
Required as a hard skill.
Backend Developer
Required as a hard skill.
Cloud Engineer
Required as a hard skill.
Data Engineer
Required as a hard skill.
Data Scientist
Required as a hard skill.
DevOps Engineer
Required as a hard skill.
Full Stack Developer
Required as a hard skill.
Machine Learning Engineer
Required as a hard skill.
QA Engineer
Required as a hard skill.
Site Reliability Engineer
Required as a hard skill.
Software Engineer
Required as a hard skill.
Solutions Architect
Required as a hard skill.
System Administrator
Required as a hard skill.
Targeting one of these roles? Grab the ATS resume keywords:
How interviewers test AWS
Real questions from Skilture's interview banks, with what the interviewer is listening for.
Cloud Engineer · basic
What are the key differences between AWS EC2 and Azure Virtual Machines?
Listen for: A strong answer will compare compute, networking, storage, and management aspects. Red flags include only listing features without comparison or showing a lack of familiarity with one of the platforms.
Cloud Engineer · basic
Explain the concept of an Availability Zone in AWS and how it contributes to high availability.
Listen for: The candidate should define AZs as isolated locations within a region and explain how distributing resources across them prevents single points of failure. A red flag would be confusing AZs with regions or not understanding their isolation.
Data Engineer · intermediate
How do you keep cloud data costs under control on AWS as pipelines scale?
Listen for: Strong candidates partition and compress data, avoid scanning everything, right-size compute, and monitor spend. Full-table scans and always-on large clusters are red flags.
What roles that use AWS pay in the US
Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.
| Role | Median | Range |
|---|---|---|
| Data Engineer | $139,500 | $86,240 – $204,000 |
| AI Engineer | $135,980 | $82,460 – $214,670 |
| Backend Developer | $135,980 | $82,460 – $214,670 |
| DevOps Engineer | $135,980 | $82,460 – $214,670 |
| Full Stack Developer | $135,980 | $82,460 – $214,670 |
| Machine Learning Engineer | $135,980 | $82,460 – $214,670 |
United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.
Skills that pair with AWS
Employers hiring for AWS most often ask for these alongside it.
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AWS: common questions
- Is AWS worth learning in 2026?
- AWS is listed in 13 of the 103 job-role profiles Skilture maps, and it is a core requirement in 5 of them. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
- Which jobs require AWS?
- Roles that ask for AWS include AI Engineer, Backend Developer, Cloud Engineer, Data Engineer, Data Scientist, DevOps Engineer, Full Stack Developer, Machine Learning Engineer, QA Engineer, Site Reliability Engineer, Software Engineer, Solutions Architect, System Administrator. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
- How do interviewers test AWS?
- A typical question, from Cloud Engineer interviews: "What are the key differences between AWS EC2 and Azure Virtual Machines?" What the interviewer listens for: A strong answer will compare compute, networking, storage, and management aspects. Red flags include only listing features without comparison or showing a lack of familiarity with one of the platforms.
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