Tech hiring looks very different across roles in 2026. This guide breaks down where the demand actually is, what each role pays, and what qualifies you to apply.
AI and machine learning remain the strongest area of technology hiring. Demand for engineers who can build, train, fine-tune, and deploy machine learning models continues to outpace supply. Roles range from research scientist positions at large AI laboratories to applied ML engineer roles at companies integrating AI into existing products. Python proficiency, experience with frameworks like PyTorch and TensorFlow, and familiarity with large language model infrastructure are the most sought-after technical capabilities.
Cybersecurity hiring has grown consistently across every sector. Financial services, healthcare, government, and critical infrastructure organisations are under increasing regulatory pressure to demonstrate robust security posture. Roles in security engineering, penetration testing, cloud security, and security operations are all in strong demand. Certifications including CISSP, CISM, and CEH carry real weight in this field alongside technical skills.
Cloud adoption continues at most organisations and the skills needed to architect, migrate to, and maintain cloud environments are consistently in demand. AWS, Azure, and Google Cloud Platform certifications provide a recognised baseline. DevOps engineering, infrastructure as code with tools like Terraform, and container orchestration with Kubernetes are all valued alongside the cloud platform credentials themselves.
The ability to collect, move, transform, and make sense of large volumes of data is valued across every industry. Data engineers who can build reliable pipelines and data analysts who can derive actionable insight from complex datasets are both in strong demand. SQL is the foundational skill in this area alongside Python and familiarity with tools like dbt, Snowflake, and Databricks.
| Role | Entry Level | Mid Level | Senior |
|---|---|---|---|
| ML or AI Engineer | $90k to $120k | $130k to $180k | $190k to $300k plus |
| Cybersecurity Engineer | $80k to $105k | $115k to $155k | $160k to $240k |
| Cloud or DevOps Engineer | $85k to $110k | $120k to $160k | $165k to $235k |
| Data Engineer | $80k to $108k | $118k to $158k | $165k to $235k |
| Product Manager | $85k to $115k | $125k to $165k | $170k to $250k |
| UX or Product Designer | $70k to $95k | $100k to $140k | $145k to $200k |
For a detailed breakdown of software engineering salaries by language and location, the BrokeHustle software engineer salary guide covers the full picture.
Most technology companies have moved away from requiring a specific degree as a prerequisite for hiring. Demonstrated skills, a portfolio of relevant work, and the ability to pass technical screening are more important than where or whether you studied. This is particularly true for software engineering, data roles, and design where a Github portfolio, Kaggle competition history, or design portfolio can be evaluated directly.
In cloud, cybersecurity, and certain infrastructure roles, certifications from AWS, Google, Microsoft, CompTIA, and ISC2 provide a recognised and verifiable credential that hiring managers use as a proxy for competence. These are worth investing in for roles where the certification is specifically requested in listings.
Bootcamp graduates are hired at all levels of the technology industry. The key is being able to demonstrate the skills in a screening process. Building a portfolio of real projects, contributing to open source repositories, and completing relevant online courses from Coursera, edX, or similar platforms all provide demonstrable evidence of capability that can substitute for formal credentials.
Not all technology roles require coding ability. Product management, UX research, technical writing, data analysis, and technology sales all sit within the technology sector and are accessible to candidates with adjacent backgrounds. These bridge roles are often the most effective route into the industry for career changers.
Once you have a target role in mind, upload your resume at /resume on BrokeHustle to see how your current profile scores against live tech listings. The match results will show you which roles in your target area already recognise value in your background and which require the most closing of skill gaps before you are competitive. Formatting your resume correctly matters too, and the BrokeHustle ATS resume guide covers exactly how to do that.
Browse which technology companies are actively hiring and what types of roles they offer through the company directory at /companies. This is especially useful for identifying companies that hire across both technical and non-technical roles simultaneously.
Selectively yes. The large scale layoffs at major consumer technology companies reduced hiring significantly at that tier. However smaller technology companies, enterprise software firms, financial technology companies, and non-technology industries adopting digital tools have all continued hiring consistently through the same period. The overall market is healthier in 2026 than it was in 2023 with particular strength in AI, security, and cloud.
Python remains the most widely requested language across AI, data, and general software roles. JavaScript and TypeScript dominate frontend and full stack web development. Go and Rust are increasingly requested for infrastructure and systems roles. SQL is a prerequisite for most data adjacent roles regardless of other language skills.
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