Highest-Paying Tech Jobs
Last updated:
Tech consistently produces some of the best-paying jobs outside of medicine and law, and it does so with a much shorter on-ramp. A motivated self-taught developer can be earning a six-figure salary within a few years — no four-year degree required — by building a portfolio and earning the certifications that gate cloud, security, and data roles. The catch is that pay varies enormously by specialization and seniority: a junior support engineer and a principal machine-learning engineer are both "in tech," but one earns three times the other.
All salary figures below are approximate U.S. medians drawn from public labor data and market compensation surveys, and they vary significantly by location (a role in San Francisco or New York pays well above the national median), employer size, specialization, and years of experience. Many tech roles also include equity and bonuses, so total compensation often runs higher than the base-salary medians shown here. Treat these as a relative ranking, not a quote.
Top 12 highest-paying tech jobs by median salary
These are the best-paying technology roles by approximate median base salary, with the core skills each one requires and a realistic path in. The roles toward the top of the list pay the most because the skills are scarce, the work has high leverage (a single model, system, or architectural decision affects an entire product), and demand outstrips the supply of qualified people. Total compensation — including equity and bonuses — typically runs higher than the base figures shown.
| Job | Approx. median salary | Path/Key skills |
|---|---|---|
| Machine Learning / AI Engineer | $165,000+ | Python, PyTorch/TensorFlow, ML systems; portfolio + projects |
| Staff / Principal Software Engineer | $200,000+ | 8+ yrs experience, system design, deep technical leadership |
| Cloud Architect | $160,000+ | AWS/Azure/GCP, networking; cloud certs (AWS Solutions Architect) |
| Engineering Manager | $180,000+ | Senior engineering + people management experience |
| Security Engineer | $150,000+ | AppSec, network security; certs (Security+, OSCP, CISSP) |
| DevOps Engineer / SRE | $145,000+ | CI/CD, Kubernetes, Terraform; cloud + automation certs |
| Data Scientist | $130,000+ | Statistics, Python/SQL, ML; quant degree or strong portfolio |
| Senior Software Engineer | $140,000+ | CS degree or self-taught + portfolio; system design |
| Blockchain Engineer | $140,000+ | Solidity, smart contracts, cryptography; project portfolio |
| Data Engineer | $130,000+ | SQL, Spark, data pipelines; cloud data certs |
| Product Manager (tech) | $135,000+ | Technical fluency + product sense; no fixed credential |
| Mobile Engineer (iOS/Android) | $130,000+ | Swift/Kotlin, app architecture; shipped apps in portfolio |
Why tech pays so well — and what the top roles share
- Scarce, hard-won skills — machine learning, security, and distributed systems take years to master, so qualified people are in short supply.
- High leverage — one engineer's system, model, or architecture can serve millions of users, so the work is worth a lot to employers.
- Equity and bonuses — total compensation often runs well above base salary, especially at larger or venture-backed companies.
- Skills over credentials — a portfolio of shipped work and the right certifications usually matter more than which degree you hold.
How to break into a high-paying tech job (without a CS degree)
Many of the highest-paying tech jobs are reachable without a computer science degree. The route that consistently works is a strong portfolio plus targeted certifications: ship real projects to GitHub, deploy something live, and earn the credential that gates your target role — an AWS Solutions Architect or Azure cert for cloud and DevOps, CompTIA Security+ or OSCP for security, or a recognized data or ML specialization for data roles. Recruiters use these as a fast signal that you can do the work.
When you apply, your resume has to clear the applicant tracking system (ATS) before a human ever sees it. That means mirroring the exact skills and tools from the job description — the framework, the cloud platform, the language — and leading with quantified results ("cut model inference latency 40%", "reduced cloud spend by $200k/year") rather than a list of duties. A bootcamp, an associate degree, or a self-taught path can all land these roles; the portfolio and the tailored resume are what move the needle.
Build a resume that lands high-paying tech roles
Resumly's AI tailors your resume to each tech job, mirrors the exact stack and keywords that pass the ATS, and runs a free ATS check — so your application reaches a hiring manager instead of getting filtered out. Free to start, no credit card.
Build my resume freeFree forever plan · No credit card required
Frequently asked questions
What is the highest-paying job in tech?
Machine learning and AI engineers, along with staff and principal software engineers, top most lists. Approximate median base pay for an ML engineer runs around $165,000 and above, while staff engineers and engineering managers at larger companies often exceed $200,000 in base salary — and considerably more once equity and bonuses are included. These are approximate medians and vary widely by location, company, and experience.
Can I get a high-paying tech job without a degree?
Yes. Tech is one of the most skills-gated fields, so many high-paying roles are reachable without a computer science degree. The proven path is a portfolio of shipped projects plus the certifications that gate your target role — AWS or Azure certs for cloud and DevOps, Security+ or OSCP for security, and recognized data or ML specializations for data roles. Recruiters weigh demonstrated skills and credentials more heavily than the degree itself. See our guide to the highest-paying jobs without a degree.
Which tech roles pay the most?
The best-paying technology roles combine scarce technical depth with high leverage: machine learning and AI engineers, staff and principal software engineers, cloud architects, security engineers, DevOps/SRE specialists, and data scientists. Senior and management tracks — engineering manager, director of engineering — also pay near the top because they multiply the output of a whole team.
Do tech salaries vary a lot by location?
Significantly. Roles in high-cost hubs like San Francisco, Seattle, and New York commonly pay 20–40% above the national median, while fully remote roles often pay a national or location-adjusted band. The medians here are national approximations, so your local market — and whether the role includes equity — can shift the real number substantially.
Are these salary figures exact?
No. All figures here are approximate U.S. medians based on public labor data and market compensation surveys, included for relative ranking only. Actual pay varies substantially by location, employer, specialization, and years of experience, and many tech roles add equity and bonuses on top of base salary. Treat these as a guide, not a quote.
