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Job Impact IndexLinux System Engineer

Linux System Engineer

Generated by AI
55%
AI Impact
Tasks
941
AIs
10,519
Generated by ChatGPT

A Linux System Engineer is responsible for ensuring the smooth running of Linux-based computer systems. Their duties include configuring, deploying, and maintaining servers, ensuring optimal performance, assisting with security, and troubleshooting system issues.

They must possess a strong knowledge of Linux systems, network protocols, and standard security practices.

Tasks

#
Task
AI Impact
AIs
1
Digital Java developers
100%
1
2
Personal computing
95%
3
3
Learning to code
95%
10
4
Coding
85%
266
5
Terminal commands management
92%
10
6
Operating system
90%
2
7
Dependency updades
90%
1
8
Debugging
90%
36
9
App vulnerability analysis
90%
2
10
Apps
88%
144
11
Prompts
85%
128
12
DevOps assistant
85%
5
13
Developer bots
85%
1
14
App modernization
85%
2
15
APIs
85%
5
16
AI app integration
85%
8
17
App recommendations
81%
4
18
Technical specifications
80%
2
19
Stable Diffusion
80%
1
20
Software engineer questions
80%
2
21
Shell commands
80%
6
22
Repo analysis
80%
3
23
Python code in ChatGPT
80%
1
24
Pseudocode
80%
3
25
Product development
80%
40
26
Machine downtime prevention
80%
1
27
GitHub pull requests
80%
3
28
Decision making
80%
26
29
Cybersecurity
80%
12
30
Coding in VScode
80%
1
31
Coding challenges
80%
4
32
Code runtime analysis
80%
1
33
ChatGPT for Excel
80%
1
34
App performance analysis
80%
4
35
API integrations
80%
10
36
AI
80%
15
37
Workflows
75%
72
38
Tech support
75%
26
39
Task automation
75%
79
40
Security checklists
75%
1
41
Security
75%
1
42
Internationalization
75%
1
43
Expert searching
75%
4
44
Coding lessons
75%
11
45
Cloud infrastructure
65%
5
46
AgentGPT
75%
1
47
ChatGPT Plugin recommendations
74%
3
48
Website crawling
70%
2
49
Virtual employees
70%
13
50
Troubleshooting
70%
1
51
Tech insights
70%
28
52
Team communication
70%
2
53
Productivity
70%
138
54
Learning management systems
70%
1
55
Device programming
70%
1
56
Coding help
70%
26
57
Code translation
70%
12
58
Code fixing
70%
3
59
ChatGPT on Kindle
70%
1
60
ChatGPT for spreadsheets
70%
1
61
ChatGPT for browsers
70%
3
62
Bypassing AI content detection
70%
1
63
App & chatbot building
70%
4
64
Synthetic data
68%
3
65
Learning
65%
150
66
Jupyter notebooks
65%
2
67
Dashboards
65%
8
68
CSV file Q&A
65%
1
69
Coding issues labeling
65%
1
70
Code reviews
65%
32
71
ChatGPT for Visual Studio
65%
3
72
AI info storing
65%
1
73
A/B testing
65%
2
74
Task breakdown
60%
6
75
SWOT Analysis
60%
3
76
Suspicious login detection
60%
1
77
Shortcuts
60%
1
78
Prompt optimization
60%
89
79
Project management
60%
56
80
Process automations
60%
1
81
Problem solving
60%
16
82
Private ChatGPT
60%
4
83
LLM comparison
60%
10
84
Knowledge bases
60%
12
85
Info maps
60%
8
86
Global infrastructure
60%
1
87
Generative search
60%
3
88
Data analysis
60%
187
89
Codebase Q&A
60%
6
90
Code testing
60%
9
91
Cloud data management
60%
3
92
Chatting with NPCs
60%
3
93
ChatGPT on Notion
60%
1
94
AWS management
60%
4
95
Agile workflow automation
60%
2
96
Agents
60%
53
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