Technology Careers: 7 Promising Paths for 2025

A transition into tech can take many different paths: writing code, investigating bugs, organizing data, or keeping networks running. Technology careers include all these activities and many more.

To make an informed choice, compare the day-to-day work, entry-level skills, and the kinds of problems you enjoy solving.

The industry doesn’t require one specific degree, and pay isn’t uniform. Some roles call for advanced programming; others value customer service, organization, or knowledge of business processes.

The best choice also depends on how much time you have to study and whether you can get hands-on practice before changing jobs.

What are the main careers in technology?

Key areas include software development, technical support, networking, software quality assurance (QA), data analysis and business intelligence (BI), cloud computing, cybersecurity, artificial intelligence, digital product and project management, e-commerce, video games, and data governance. Each role solves different problems and calls for its own mix of programming, communication, and specialized skills.

An IT technician, for example, typically configures equipment, installs systems, and helps people troubleshoot access or performance issues. A network professional plans and maintains connections between devices; QA checks that a product meets its requirements; and BI organizes data to support decisions.

Brazil’s Ministry of Labor and Employment maintains the Brazilian Classification of Occupations (Classificação Brasileira de Ocupações), a resource for looking up job descriptions, although the titles companies use don’t always match the formal ones.

A job title tells you less about a career than the tasks that fill the workday.

Software development and digital product management

Software engineers design, build, and maintain programs and systems. Day-to-day work may involve understanding requirements, choosing technical approaches, writing code, reviewing changes, and investigating bugs that appear only under certain conditions. Automated testing and DevOps practices help reduce failures when a product is updated. Knowing languages like Java, JavaScript, Python, or C# is useful, but memorizing syntax isn’t enough: you need to understand logic, data structures, version control, and how software meets the needs of its users. Systems analysis can also be an entry point for people who prefer translating business needs into technical requirements. Focusing on the user experience helps prevent solutions that are technically sound but confusing to the people using them.

A technical product manager sets priorities and coordinates product decisions. They don’t have to be the person who writes the most code on the team; they need to assess impact, communicate with engineering and design, and decide what should be done first.

This role typically calls for experience collaborating with others and understanding the business, so it’s usually a less direct path to a first job.

Data, analytics, and business intelligence

Cloud, DevOps, and solution architecture

A DevOps engineer brings development and operations closer together by automating testing and deployment, monitoring services, and helping keep applications available. In the cloud, they may also manage infrastructure as code, permissions, and costs on platforms such as AWS, Azure, or Google Cloud.

Containers, orchestration, and continuous integration and delivery (CI/CD) pipelines are part of many of these workflows.

Solution architects analyze requirements and design how components, services, and data connect. This role generally calls for broader technical experience because architectural choices affect security, performance, and cost. For beginners, support, systems administration, and operations can offer a more accessible foundation than trying to move directly into an architecture role.

AWS training documentation is a good starting point for exploring cloud learning paths. Studying one provider is helpful, but networking, identity, monitoring, and automation concepts transfer across platforms. In small teams, one person may handle several of these areas; in larger organizations, responsibilities tend to be more specialized.

Information security and cyber defense

Information security professionals reduce risks to systems, data, and people. Their work may involve network security, identity management, audits, incident response, penetration testing, or governance and compliance. During incident response, for example, they need to determine what happened, limit damage, preserve evidence, and communicate decisions to other teams.

To get started, study networking, operating systems, and cryptography fundamentals; then practice in controlled labs and learn to document findings clearly. Certifications can help demonstrate knowledge, but they don’t replace hands-on practice, and some are better suited to experienced professionals. The CERT.br guides offer security reference materials for a range of audiences.

Security also intersects with industries outside tech. In a healthcare organization, for example, protecting information involves access controls and careful handling of sensitive data, as well as technical operations. Governance professionals need to interpret policies and requirements; those in technical defense may spend much of their time monitoring alerts and investigating suspicious activity.

Artificial intelligence, machine learning, and emerging roles

Artificial intelligence professionals develop or integrate systems that can perform tasks such as classification, recommendation, and content generation. Machine learning is a field of AI in which models learn patterns from data. Building reliable solutions means considering data quality, performance evaluation, privacy, and human oversight—not just choosing a model.

There are also opportunities related to the Internet of Things (IoT), which connects sensors and devices to processing systems, and to integrating AI tools into existing products. The work may combine software, data, infrastructure, and industry knowledge. Demand for any specific role varies by company, location, and timing; calling a career a “job of the future” doesn’t guarantee openings or high salaries.

Salaries, courses, and choosing a tech career

There is no single answer to how much an IT analyst earns or which field pays the most: salary depends on seniority, location, industry, specialization, and employment type. Salaries of R$20,000 may be found in experienced or specialized roles, but they’re not guaranteed or a realistic benchmark for every job. To compare occupations, consult official data such as RAIS, Brazil’s Annual Social Information Report, and check that the role and employment arrangement match your situation.

Role	Core responsibility	Entry-level skills	Compensation
Technical support	Troubleshoot user and equipment issues	Operating systems, basic networking, and customer service	Varies by location, experience, and employer
Software developer	Build and maintain applications	Logic, one programming language, and version control	Varies by seniority, specialty, and employment type
BI analyst	Prepare metrics and reports	SQL, spreadsheets, and data visualization	Varies by industry, scope, and experience
Data engineer	Build data pipelines and platforms	SQL, programming, and data fundamentals	Varies by scale, specialization, and seniority
Security professional	Prevent risks and investigate incidents	Networking, systems, and security practices	Varies by area, experience, and responsibility
DevOps and cloud professional	Automate infrastructure and operations	Linux, networking, scripting, and cloud concepts	Varies by provider, scope, and seniority

These descriptions aren’t salary ranges: without a comparable dataset for each job, publishing figures as if they were current averages would be misleading. Even at the same company, an IT analyst might work in support, infrastructure, or systems, with very different responsibilities. To check compensation, compare occupation, location, period, and employment type using available RAIS and Ministry of Labor and Employment data.

College programs in computer science, information systems, and related fields can provide a broad education, but a degree isn’t a universal requirement. Technical programs, personal projects, official documentation, and free provider learning paths can help build specific skills. When choosing a college, consider its curriculum, cost, format, and accreditation; no institution is the best fit for everyone.

How can you test a career change before making the switch?

The time it takes to transition varies based on your previous experience, chosen role, and available study hours. Rather than trusting a promised timeline, try out the work and look at the actual requirements in job listings. A practical approach is:

Choose one specific role and review job postings in your area, separating recurring requirements from preferred qualifications.
Study the fundamentals and create a small project that demonstrates a real task: a BI dashboard, a simple application, or a documented security lab.
Ask someone in the field to review your work, make improvements, and compare your skills with job postings before investing in a long program or leaving your current job.

If you enjoy investigating bugs but don’t want to code all day, QA or support may be a better fit than development. If you prefer explaining results and working with business questions, BI may be a better test than data science. Difficulty hiring for one specific role doesn’t prove that every area is booming; job postings, requirements, and salaries vary by location and industry.

A well-planned career change turns curiosity into evidence: study, demonstrable practice, and a close look at job requirements.

Start by choosing two roles, not ten, and comparing recent job postings with the tasks you’d be willing to do every day. Then choose a small project to try one of them, and check official training or occupational resources before paying for a certification.

Frequently asked questions

What are the seven careers of the future in tech?

There is no official or guaranteed list of seven careers of the future. Development, data, cloud and DevOps, security, AI, BI, and product management are relevant paths, but opportunities depend on the market and the experience required.

Which free courses can help me get started?

Introductory cloud-provider learning paths, technical documentation, CERT.br materials, and free courses from educational institutions can be a good starting point. Before choosing, check whether the content includes exercises and matches the requirements in the job postings you’ve researched.

Do I need to know how to code to work in tech?

Not for every role. Support, project management, governance, and some product positions may require little coding, although technical knowledge helps you collaborate with engineering teams. Development, automation, and data science generally call for more frequent hands-on coding.