The Fastest-Growing Remote Tech Jobs in AI, Cloud, and Cybersecurity

The tech job market is in flux. Entry-level roles across fields like artificial intelligence (AI), cloud computing, and cybersecurity are starting to feel the impact of automation. A recent analysis of job movements by venture capital firm SignalFire found that big tech companies cut new grad hiring by 25% from 2023 and 50% from before the pandemic. (1)
In particular, the rapid advancement of AI has led to routine tasks—like coding, data analysis, and infrastructure management—being increasingly automated. This affects not just AI-centric jobs but also cloud and cybersecurity roles that rely on human judgment and oversight. With AI adoption rising (40% of companies plan to integrate it wherever possible), today’s tech professionals must evolve with the changing landscape. (2)
The good news? Companies are still hiring experienced professionals, especially for remote roles where technical expertise remains vital. Here’s a look at the fastest-growing opportunities across AI, cloud, and cybersecurity—and what you can do to land one.
AI Jobs
Despite AI’s growing autonomy, humans still need to manage the nuts and bolts for it to work as intended. Today’s models are far from being able to make crucial decisions on their own. Such a day may come, but not without human input helping the models along.
It just so happens that this year, according to a World Economic Forum (WEF) report, AI is expected to create more jobs than it disrupts. It states that AI would displace 85 million jobs worldwide but also create close to 100 million new ones. More employers still plan to cut their workforce, but not a majority relative to those that will grow theirs. (3)
The majority of new AI jobs also offer six-figure salaries and remote work setups (or the possibility thereof). Who wouldn’t be enticed by a job that pays big and costs little to maintain?
You may check out tech jobs listings online and see which AI (or non-AI) roles are the most lucrative. To give you an overview, here are the hottest openings on the AI front right now:
Job Title | Key Responsibility | Annual Salary Range* |
Data engineer | Building data pipelines that transport and store quality data for the model | USD$140,000 – 160,000 |
Data scientist | Analyzing data to assist in organizational or corporate decision-making | USD$90,000 – 220,000 |
Data consultant | Providing organizations with expert data-related insights | USD$84,000 – 143,000 |
DevOps engineer | Facilitating the software development cycle while maintaining performance | USD$120,000 – 200,000 |
MLOps engineer | Ensuring the proper deployment of machine learning (ML) systems | USD$115,000 – 140,000 |
*Bonuses and other benefits are excluded.
Cloud Computing Jobs
Cloud computing has been a thorn in the side of businesses trying to harness it, especially with cloud migration. In its survey of 200 IT leaders last year, Gartner reported that roughly 70% said their cloud-related efforts have gone over budget. Of those who experienced cost overruns, over half said the increase was moderate. (4)
The difficulties of cloud adoption primarily revolve around mismanaged expectations. For instance, businesses believe they can get away with low-cost storage for data and assets they don’t expect to access anytime soon. But when they do, penalties and performance degradation add to their data management woes.
Unsupervised AI should never be left to decide whether or not to go cloud. While its ability to analyze and make sense of big data may be valuable, it can become a liability when its insights are taken at face value. Having cloud professionals provide second opinions is a huge plus, which is why many employers are on the lookout for: (5)
Job Title | Key Responsibility | Annual Salary Range* |
Cloud administrator | Formulating and enforcing policies on proper cloud infrastructure usage | USD$127,000 – 157,000 |
Cloud security analyst | Maintaining the organization’s security for its cloud infrastructure | USD$152,000 – 254,000 |
Cloud architect | Designing and enforcing the cloud infrastructure and its operational strategies | USD$127,000 – 157,000 |
Cloud automation engineer | Building and managing the necessary automation tools for cloud migration | USD$134,000 – 207,000 |
*Bonuses and other benefits are excluded. Adjusted for inflation from 2022 data.
Cybersecurity Jobs
Experts concur that the human user has long been the weakest link in any cybersecurity system. No matter how sophisticated the defense, an unaware user can easily fall prey to old-fashioned deception. Referred to as social engineering, this method accounts for the majority of cyberattacks due to its simplicity and low cost.
With the rise of generative and, later, agentic AI, social engineering attacks have become craftier. The Federal Trade Commission reported that phishing losses in 2024 jumped by 25% to over USD$12.5 billion. The agency received an estimated 2.6 million fraud reports that year, with imposters being the most common perpetrators. (6)
AI can be as much of an ally against intensifying attacks as it is an adversary. However, the technology is still lacking in crucial areas such as creativity and strategic decision-making. Even amid AI dominance, certain cybersecurity careers will remain in high demand. (7)
Job Title | Key Responsibility | Average Annual Salary* |
Cybersecurity engineer | Developing and enforcing security plans, protocols, and best practices | USD$102,432 |
Cybersecurity analyst | Assessing event security reports to spot, contain, and remedy threats | USD$81,680 |
Network security architect | Designing security policies and systems based on the organization’s needs | USD$126,166 |
Ethical/white hat hacker | Mounting simulated attacks against the infrastructure to detect cybersecurity flaws | USD$98,056 |
*Bonuses and other benefits are excluded.
Outlook for Tech Jobs
Computer-related occupations are predicted to be most impacted by AI, according to data from the Bureau of Labor Statistics. Over the following years until 2033, employment in this category is expected to increase by 11.7%, adding around 587,000 jobs. (8)
Meanwhile, remote work employment is also forecasted to increase amid strong calls for a return to office. A WEF report in 2024 projected a 25% rise in the number of remote digital jobs worldwide across various sectors, reaching 92 million by 2030. IT professional jobs comprise less than 10% of the increase. (9)
Acquiring the Right Skills
Being aware of the demand for such tech jobs is one thing, but successfully qualifying for one is another. As companies are limiting their new hires, job seekers are urged to add as many credentials to their resumes as possible. The more competencies they can boast, the greater their chances of getting the job.
Programming Skills
Many tech jobs, especially on the development side, require extensive knowledge of programming languages. With thousands of them in use today, there’s no need to learn each one. That said, it pays to be proficient in multiple languages.
Based on the number of skilled engineers and third-party vendors, the TIOBE Index ranks Python as the top programming language in the world. Just this May, it broke the index’s record for the highest rating in its history at 25.35%. It has a huge lead over others like C++, Java, and SQL. (10)
That doesn’t mean focusing all efforts on learning Python alone. The TIOBE Index doesn’t rank a programming language by performance, and Python isn’t applicable in all situations. The choice of language depends on the choice of specialization as far as the job’s requirements are concerned.
Project Management
Tech professionals can be expected to work on multiple strategic projects simultaneously, especially if the development team is small. A project must be completed on time and within budget, lest risk management pull the plug on it and undo all the work already done. For this, project management is essential.
One popular example of project management in action in the tech sector is Agile. It involves working on short, incremental process cycles and maintaining face-to-face communication—all while ensuring quality. Project management is essential if the job requires regular reporting to the higher-ups and business stakeholders.
Business Acumen
Speaking of working in the company hierarchy, tech professionals are encouraged to think like a business in this setting. Their proposed solution may be technically sound, but they also must consider the business’s available resources and overall situation. An impasse is just as bad as the proposal being shut down.
The point of being hired, whether as a data engineer or ethical hacker, is to help the organization solve its problems. When delivering a proposal, it pays to explain it in a way that executives and stakeholders understand. Not all possess the technical understanding that the professional has.
Professionalism
Technology may render certain skills obsolete, but it’s the “soft” or “durable” skills that’ll stand the test of time. Some of these include:
- Communication
- Leadership
- Teamwork
- Problem solving
- Customer service
- Adaptability
Of course, technical skills are required to get the job. However, a professional who exhibits arrogance and stubbornness is a major turnoff to employers. An organization’s success doesn’t lie in an individual but in a team working toward a common goal.
Improving Your Chances
Credentials are only one of several factors affecting one’s prospects of landing a remote tech job. With a clear and concise show of capability, getting it out there is the next step.
Here’s where it gets tricky. Today’s applicants not only have to contend with an employer’s HR evaluators but also the AI tools they use. More HR departments are integrating generative AI into their hiring workflows.
Coupled with the fact that recruiters spend scant minutes reviewing each application, the uphill battle has gotten steeper. The usual tips and tricks won’t be as effective as they had been in the pre-AI era. Granted recruiters still conduct manual reviews, it pays to expect the technology to affect your prospects.
Fortunately, tech job applicants can use their understanding of how technology works to their benefit. It boils down to:
- Crafting a narrative that highlights your skills that tech can never replicate
- Including as many of the job listing’s keywords as possible into your resume
- Relying less on AI tools for creating your application letter and resume
- Anticipating AI-generated questions and prepping quality answers for each
- Asking the human recruiter about the company’s progress in AI integration
Above all else, be honest. Perhaps not to the point of blowing your chances of landing the job but also avoid being a blatant liar.
Conclusion
Long story short, there’s never been a better time to consider pursuing a tech career than now. Even with some companies downsizing, they’re still willing to pay top dollar for such talent. That said, it also means that the competition has gotten hotter, prompting aspiring professionals to harness every advantage they possess to the fullest.
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