Software Development

Computer Programmer

SOC 15-1251.00 · ESCO 2514

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Role snapshot

Overview

Computer Programmers write, test, and debug code that makes software applications work as intended. Translating technical specifications into clean, efficient programs across one or more languages fills most of their time. They are essential in creating and maintaining the digital tools and systems that power businesses and daily life, ensuring software is functional, reliable, and meets user requirements.

Creates the foundational code for software applications, enabling digital systems to function, automating processes, and solving practical problems across various industries.

On the job

  • Write and maintain clean, efficient, and well-documented code for software applications.
  • Test and debug programs to identify and resolve errors, ensuring optimal functionality and performance.
  • Collaborate with software developers, system analysts, and other engineers to understand technical specifications and requirements.
  • Develop and implement new software features and updates based on project needs.
  • Troubleshoot and resolve software defects and issues in existing applications.
Computer Programmer at work

Tools & technology

PythonJavaC++GitIntegrated Development Environments (IDEs) like VS Code

Average salary

$90K
MEDIAN SALARY Annual · USD
$65K Bottom 10%
$130K Top 10%

Job outlook

Growing

Job growth is expected to be above average over the next five years.

Education & training

Bachelor's degree in computer science, software engineering, or a related field; certifications and practical experience are also highly valued.

AI impact outlook

Much code generation and initial debugging can be automated by AI, shifting the programmer's effort to complex problem-solving and architectural design.

Note — this is our current view. AI is moving fast, so we revisit these ratings.

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Why this role received this rating

Core task exposure

high

How much of the role’s important work could AI perform?

Writing, testing, and debugging routine code are highly exposed to AI, which excels at generating and fixing code snippets.

End-to-end automation

moderate

Can AI complete the work without substantial human involvement?

While AI can generate code, the full cycle of understanding ambiguous requirements, architecting complex systems, and deep debugging still requires human intervention.

Adoption pressure

high

How likely are employers to introduce AI into this work?

The immediate productivity gains from AI code assistants drive very high employer adoption pressure in this core coding role.

Human dependence

moderate

How much does success depend on human judgement, relationships and accountability?

Creative problem-solving, architectural design, and responsibility for overall system integrity require significant human judgment.

Protective — a higher rating lowers the overall score.

Role adaptability

strong

How easily can the role evolve as AI takes on more tasks?

Programmers are inherently adaptable, constantly learning new languages, frameworks, and development paradigms, including AI-driven ones.

Shown for context — not part of the score.

What AI may take on

These are the parts of the role most likely to be automated or significantly accelerated.

  • Generating code snippets and functions based on comments or existing patterns
  • Writing initial unit and integration tests for new features
  • Automating code refactoring and stylistic improvements
  • Identifying and suggesting fixes for common bugs and errors
  • Drafting basic technical documentation for code modules

Where people remain essential

These parts continue to depend heavily on human judgement, relationships and accountability.

  • Translating high-level, ambiguous business requirements into technical solutions
  • Designing robust and scalable software architectures
  • Deep troubleshooting of complex and non-obvious bugs
  • Collaborating with diverse teams to define and integrate features
  • Making critical design decisions that balance performance, security, and maintainability
  • Ensuring ethical considerations and societal impact of software development

How the role may evolve

Less coding, more complex problem-solving and architectural input.

The role transforms from primarily writing code to leveraging AI as a powerful assistant, focusing human effort on innovative problem-solving, system architecture, and strategic project contributions.

Strengthen your future fit

  • Proficiency in leveraging AI-powered coding tools and models
  • Strong architectural design and system thinking abilities
  • Enhanced skills in debugging complex, integrated systems
  • Mastery of prompt engineering for code generation and analysis
  • Focus on soft skills: communication, collaboration, and critical thinking
Assessment horizon
3–7 years
Confidence
High
Last reviewed
August 2026
Methodology
v1.0

This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.

Career pathways

WHERE YOU COULD GO

Senior Computer Programmer
Software Engineer

CURRENT ROLE

Computer Programmer

Software Development

ADJACENT MOVES

Full Stack Developer
Junior Developer
Coding Bootcamp Graduate
Technical Support Specialist

STARTING POINTS

Who thrives here

Interest profile

C

conventional · CIR

Individuals who are analytical, enjoy solving complex technical problems, and prefer structured, hands-on work with data and systems often thrive in this role.

Personality characteristics

Logical Problem-Solver

Enjoys breaking down complex technical problems into manageable, solvable components and applying systematic logic.

Detail-Oriented

Focuses on accuracy and precision in writing and reviewing code to ensure functionality and prevent errors.

Autonomous Worker

Prefers to work independently on tasks, focusing deeply on coding and debugging without constant supervision.

Adaptable Learner

Continuously seeks out and learns new programming languages, frameworks, and technologies to stay current.

Resilient

Maintains composure and focus when encountering difficult bugs, project setbacks, or tight deadlines.

Best for

  • Individuals who enjoy the systematic process of building, optimizing, and maintaining software applications.
  • Those who are driven by intellectual challenges and the satisfaction of creating functional, reliable systems.
  • People who thrive in environments that value logical precision, continuous technical growth, and problem-solving through code.

Watch out for

  • Can involve long periods of solitary, focused work, which might not suit highly extraverted individuals who thrive on constant social interaction.
  • Requires high attention to detail, and errors can lead to frustrating and time-consuming debugging sessions.
  • Constant learning is required to keep skills current, which can be demanding for those who prefer stable routines.

A week in the life

A representative working week for a Computer Programmer — where the deep work, meetings, and admin actually land.

8am9am10am11am12pm1pm2pm3pm4pm5pm6pm
Mon
Daily Standup Meeting
Feature Development (Coding)
Code Review Session
Bug Fixes & Refactoring
Tue
New Module Implementation
Project Planning Meeting
Technical Documentation & Comments
Wed
Algorithm Optimization
Pair Programming Session
Learning New Framework / Research
Thu
Unit Testing & Integration Testing
Stakeholder Sync Meeting
Performance Tuning & Debugging
Fri
Deployment Preparation & Review
Team Retrospective
Personal Development / Admin
Deep work Meeting External Social Admin

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Frequently asked questions about Computer Programmer roles

What does a Computer Programmer do?

A Computer Programmer computer Programmers write, test, and debug code that makes software applications work as intended. Translating technical specifications into clean, efficient programs across one or more languages fills most of their time. They are essential in creating and maintaining the digital tools and systems that power businesses and daily life, ensuring software is functional, reliable, and meets user requirements. Creates the foundational code for software applications, enabling digital systems to function, automating processes, and solving practical problems across various industries.

How much does a Computer Programmer earn?

A Computer Programmer earns a median of $90,000 per year in the US, typically ranging from $65,000 to $130,000.

What qualifications do you need to become a Computer Programmer?

To become a Computer Programmer, bachelor's degree in computer science, software engineering, or a related field; certifications and practical experience are also highly valued.

What personality suits a Computer Programmer?

Computer Programmer roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 82/100) and reserved — comfortable with long independent focus rather than constant social contact (Extraversion 30/100). The traits that matter most in the role are Logical Problem-Solver, Detail-Oriented, Autonomous Worker and Adaptable Learner. Enjoys breaking down complex technical problems into manageable, solvable components and applying systematic logic. On interests, Computer Programmer maps to a CIR Holland Code profile — individuals who are analytical, enjoy solving complex technical problems, and prefer structured, hands-on work with data and systems often thrive in this role.

Who does a Computer Programmer role suit?

A Computer Programmer role is usually a strong fit for these reasons. Strong Conventional and Investigative alignment: the role demands logical thinking, systematic problem-solving, and a hands-on approach to technology. A significant portion of the week is dedicated to deep work, ideal for focused coding, debugging, and continuous technical learning. Opportunities to continuously learn and apply new technical skills in a practical setting, satisfying a drive for intellectual growth.

What are the downsides of being a Computer Programmer?

Computer Programmer roles come with trade-offs worth weighing up. Can involve long periods of solitary, focused work, which might not suit highly extraverted individuals who thrive on constant social interaction. Requires high attention to detail, and errors can lead to frustrating and time-consuming debugging sessions. Constant learning is required to keep skills current, which can be demanding for those who prefer stable routines.

What is the work environment like for a Computer Programmer?

Work as a Computer Programmer is mostly office-based with hybrid arrangements common, semi-structured — a mix of set processes and self-directed work, a moderate pace and medium exposure to clients or stakeholders. Around 70% of the week is focused deep work.

What skills do you need to be a Computer Programmer?

Core skills for a Computer Programmer include Programming languages (e.g., Python, Java), Software development lifecycle (SDLC), Debugging and testing, Problem-solving and Data structures and algorithms.

How do you become a Computer Programmer?

Common entry routes into Computer Programmer roles include Junior Developer, Coding Bootcamp Graduate and Technical Support Specialist.

What career progression is there for a Computer Programmer?

From a Computer Programmer role, common next steps include Senior Computer Programmer and Software Engineer; lateral moves include Full Stack Developer.

What is the job outlook for Computer Programmer roles?

The outlook for Computer Programmer roles is currently rated growing. Job growth is expected to be above average over the next five years.

Will AI replace Computer Programmer roles?

Traitstack rates automation risk for Computer Programmer roles at 68 out of 100, which is strong. Much code generation and initial debugging can be automated by AI, shifting the programmer's effort to complex problem-solving and architectural design. AI is most likely to take on generating code snippets and functions based on comments or existing patterns, writing initial unit and integration tests for new features and automating code refactoring and stylistic improvements. Translating high-level, ambiguous business requirements into technical solutions, designing robust and scalable software architectures and deep troubleshooting of complex and non-obvious bugs stay with people. Less coding, more complex problem-solving and architectural input. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.