The tech job market is evolving faster than ever and Artificial Intelligence (AI) is the one leading the charge. But here’s the twist, AI isn’t replacing these jobs, but it’s making them more valuable. If you’re trying to break into the tech industry or trying to upgrading your career, then now’s the time to do it.
In this post, I’ll tell you about 7 tech jobs that pays really well. These jobs won’t be taken out by AI, but they will get stronger and more stronger with the rise of AI.
1. QA Engineer
QA Engineers are like professional bug hunters. They test websites, apps, and software to find issues before users do, ensuring everything works smoothly. With AI-generated code becoming more common, QA Engineers are crucial to validate AI-powered features, ensuring outputs are accurate and models behave as expected. The basic salary of QA Engineer is around $106,000 per year.
Skills needed:
- Attention to detail
- Basic programming knowledge (Python, JavaScript helps!)
- Understanding of testing frameworks and automation tools
Where to work:
- Google, Adobe, Microsoft
- Medium to large tech companies
2. Cybersecurity Engineer
Cybersecurity Engineers protect companies from hackers and data breaches — basically, they’re digital bodyguards. Every time you log into your bank account or shop online, you’re relying on their work. The basic salary of Cybersecurity Engineer is around $140,000 per year.
Skills needed:
- Networking fundamentals
- Operating systems (Linux, Windows)
- Programming (Python, Shell scripting)
- Security frameworks, encryption technologies
- Certifications like CompTIA Security+, CISSP, or CEH
Where to work:
- Tech giants: Google, Microsoft, Amazon
- Cybersecurity firms: CrowdStrike
- Any large company handling sensitive data (healthcare, finance, government)
3. Cloud & DevOps Engineer
These engineers ensure that their websites and apps stay online. These engineers are the reason Netflix doesn’t crash during your favorite show’s finale. They manage cloud infrastructure and prevent downtime that could cost companies millions. The basic salary of a Cloud & DevOps Engineer is around $164,000 per year.
Skills needed:
- Linux, networking basics
- Programming (Python, Shell scripting)
- Cloud platforms (AWS, Google Cloud, Azure)
- Docker, Kubernetes, CI/CD pipelines
- Infrastructure as Code (Terraform, CloudFormation)
Where to work:
- Cloud providers: AWS, Google Cloud, Microsoft Azure
- Tech companies: Twitter, Google
- Enterprise software: Salesforce, Oracle
- Any company transitioning to the cloud
4. Data Scientist
Data Scientists turn raw data into actionable insights helping companies to make smarter decisions. For example, Netflix saves $1 billion annually by using data science to predict what shows you’ll love. The basic salary of a Data Scientist is around $167,000 per year.
Skills needed:
- Math, statistics, data analysis
- Programming (Python, R)
- Machine learning techniques
- Data visualization (Tableau, Power BI)
Where to work:
- Tech giants: Google, Amazon, Uber
- Research labs: OpenAI, DeepMind
- Healthcare, finance, marketing, and more
5. Software Engineer
Software Engineers build the apps, websites, and systems we use every day. With AI integration, they’re becoming even more powerful. An AI-savvy developer is practically an one-person army in current situation. The basic salary of a Software Engineer is around $180,000 per year.
Skills needed:
- Frontend: JavaScript, TypeScript, React
- Backend: Python, Java, Node.js
- Databases: SQL, MongoDB
- APIs, cloud services, version control (Git)
- Computer science fundamentals (data structures, algorithms, system design)
Where to work:
- Big tech: Meta, Amazon, Apple, Google
- Enterprise companies: Microsoft, Salesforce
- Fintech: Stripe, PayPal
- Any company that builds software
6. Growth Engineer
Growth Engineers are like the Navy SEALs of software development. They’re developers with a business mindset. They build features designed to attract more users and increase revenue. Their goal? Make companies more money, faster. The basic salary of a Growth Engineer is around $233,000 per year.
Skills needed:
- Full-stack development
- A/B testing frameworks
- Analytics tools (Mixpanel, Amplitude)
- Marketing basics (user acquisition, conversion optimization, automation)
- Data skills (SQL, statistical analysis)
Where to work:
- High-growth startups
- B2B SaaS companies: HubSpot, Shopify
- Consumer tech: Robinhood, Duolingo
7. AI & Machine Learning Engineer
Topping the list are AI & Machine Learning Engineers, the brains behind smart systems that learn and improve over time. These engineers are in insane demand, and top performers can earn close to $1 million per year. AI & Machine Learning Engineer make an average of $250,000 – $950,000.
Skills needed:
- Strong programming (Python)
- Deep learning frameworks (PyTorch, TensorFlow)
- Cloud platforms (AWS, Google Cloud)
- Advanced math (linear algebra, calculus, statistics)
- Machine learning algorithms
- Specialized skills: Large Language Models (LLMs), Computer Vision, Natural Language Processing (NLP)
Where to work:
- AI-first companies: OpenAI, Anthropic, DeepMind
- Tech giants: Google Brain, Microsoft AI
- AI startups: Hugging Face, Stability AI
- Any company building AI products
Final Thoughts
The tech job market in 2025 is packed with high-paying roles and AI is making them more valuable, not less. Whether you’re new to tech or looking to level up, there’s never been a better time to dive in. Pick a role that excites you, build the right skills, and you could land a job that not only pays well but can shape your future really well.
Which of these jobs sounds most exciting to you? Are you leaning towards AI, cybersecurity, or maybe becoming a growth engineer with a business edge? Let me know in the comments down below.
