High Automation Risk
This role has an above-average probability of significant AI or automation disruption. Consider upskilling and monitoring AI tooling in this sector.
Software Engineer
👤 For candidates
🤖 Enhance with AI
- ›Leverage AI code assistants for rapid prototyping and debugging
- ›Automate test generation and documentation with GenAI tools
- ›Use AI-driven analytics for faster root-cause analysis
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For employers
🔄 Alternatives
Automates code generation and documentation tasks efficiently
Streamlines routine workflow and integration processes
Scales development capacity for non-core systems
⚡ Recommendation
🔀 Hybrid approachAI augments coding, but human oversight needed for design and troubleshooting
Microsoft Copilot & M365
Accelerates code writing and review
Automates integration and operational workflows
Implements advanced AI-driven automation services
Software Developers
O*NET 15-1252.00
🏢 For Employers
This role scores highly for automation potential. You may want to consider a technological solution - or redesign the role to focus on tasks that benefit from human judgement.
👤 For Candidates
This role is highly automatable. Unless you can augment your work using AI tools, long-term prospects in this area may be limited. Consider building complementary skills that are harder to automate.
Job Description
Automation Risk
This role contains a high proportion of tasks that can be augmented by AI, such as code generation, testing, and documentation. However, tasks requiring system design, troubleshooting, and cross-team collaboration still require significant human judgment and creativity. As a result, the automation risk is moderate, but the AI occupational exposure is high due to the strong applicability of GenAI tools to core tasks.
Task analysis
- Design and implement integrations between internal platforms and third-party services using REST APIs, webhooks, and event-driven workflows.
- Develop internal web tools with user interfaces for non-technical teams.
- Build and maintain automation services, including jobs, schedulers, and queues.
- Write, review, and maintain production-grade code with appropriate testing strategies and documentation.
- Troubleshoot and debug across team-owned systems, performing root-cause analysis and implementing fixes.
- Collaborate with non-technical teams to understand requirements and deliver effective solutions.
- Ensure reliability, observability, and long-term maintainability of delivered systems.
- Participate in code reviews and structured development practices using Git.
- Design database schemas, write queries, and manage data migrations to support real workflows.
Occupational Classification
UK Salary Benchmark
Scientific research and development · ONS ASHE 2024 annual earnings
👤 For Candidates
AI & future-of-work guidance
🤖 Enhance with AI
- ›Leverage AI code assistants for rapid prototyping and debugging
- ›Automate test generation and documentation with GenAI tools
- ›Use AI-driven analytics for faster root-cause analysis
📈 Disruption outlook
% risk of significant disruption
🎓 Learn now
📚 For full-time, part-time & evening courses on the Isle of Man, visit University College Isle of Man (UCM)
🏢 For Employers
Strategic hiring options & technology alternatives
🔄 Alternatives
Automates code generation and documentation tasks efficiently
Streamlines routine workflow and integration processes
Scales development capacity for non-core systems
⚡ Recommendation
🔀 Hybrid approachAI augments coding, but human oversight needed for design and troubleshooting
Microsoft Copilot & M365
Accelerates code writing and review
Automates integration and operational workflows
Implements advanced AI-driven automation services
Key Skills
Knowledge Areas
O*NET Competency Skills
Alternative Career Paths
Focuses on automation, deployment pipelines, and system reliability for software delivery.
Leads product development by bridging technical and business requirements.
Specializes in building automated testing frameworks and quality assurance tools.
Designs and oversees technical solutions for complex business problems.
Also Consider
🔥 Hot Technologies
In-demand tools for this occupation (O*NET)
Work Activities
General work activities from O*NET
- Working with Computers
- Processing Information
- Making Decisions and Solving Problems
- Thinking Creatively
- Communicating with Supervisors, Peers, or Subordinates
- Analyzing Data or Information
- Updating and Using Relevant Knowledge
- Organizing, Planning, and Prioritizing Work
- Getting Information
- Evaluating Information to Determine Compliance with Standards
- Documenting/Recording Information
- Developing Objectives and Strategies
- Monitoring Processes, Materials, or Surroundings
- Identifying Objects, Actions, and Events
- Interpreting the Meaning of Information for Others
Anthropic Economic Index
Real-world AI adoption data from millions of Claude conversations · Dataset ↗
Observed Claude Usage
29%
of conversations
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