DevOps Engineer Salary Guide 2026: UK, US, and Remote
The average DevOps engineer salary in 2026 is £65,000-75,000 in the UK and $110,000-130,000 in the US. Entry-level roles start at £40,000-55,000 (UK) or $75,000-95,000 (US). At the senior end, DevOps engineers earn £85,000-120,000 (UK) or $140,000-190,000 (US). The highest-paying specialisation AI infrastructure pushes total compensation above £200,000 (UK) and $350,000 (US) at top-tier companies.
These numbers are meaningfully higher than two years ago, and the gap continues to widen. DevOps salaries are rising because demand for infrastructure engineers is outpacing supply, amplified by the AI infrastructure boom that has turned every cloud-adjacent skill into a high-value asset.
This guide breaks down exactly what DevOps engineers earn by experience level, role specialisation, city, and company type with specific numbers for both the UK and US markets.
DevOps salary by experience level
Experience is the single biggest factor in DevOps compensation. The jump from entry-level to senior is steep, and the path from senior to principal/staff is steeper still.
UK salaries by experience level
| Experience Level | Years | Salary Range (GBP) | Typical Total Comp (GBP) |
|---|---|---|---|
| Entry-Level / Junior | 0-1 | £40,000 £55,000 | £40,000 £57,000 |
| Mid-Level | 2-4 | £55,000 £80,000 | £58,000 £88,000 |
| Senior | 5-7 | £80,000 £110,000 | £85,000 £125,000 |
| Staff / Principal | 8+ | £110,000 £150,000 | £120,000 £175,000 |
| Head of Infrastructure / VP | 10+ | £130,000 £180,000 | £150,000 £220,000+ |
UK total compensation typically includes salary plus pension, private healthcare, and an annual bonus of 5-15%. Equity is less common outside of startups and US-headquartered companies with UK offices.
US salaries by experience level
| Experience Level | Years | Base Salary (USD) | Typical Total Comp (USD) |
|---|---|---|---|
| Entry-Level / Junior | 0-1 | $75,000 $95,000 | $80,000 $105,000 |
| Mid-Level | 2-4 | $100,000 $140,000 | $115,000 $165,000 |
| Senior | 5-7 | $140,000 $190,000 | $165,000 $240,000 |
| Staff / Principal | 8+ | $180,000 $250,000 | $220,000 $330,000 |
| Head of Infrastructure / VP | 10+ | $220,000 $300,000 | $280,000 $450,000+ |
US total compensation includes base salary, equity/RSUs, signing bonus, and annual bonus. At FAANG-level companies, equity can double or triple the base salary at senior levels and above.
The experience-to-salary curve is not linear. The largest percentage jump happens between mid-level and senior (30-45% increase), driven by the shift from executing tasks to designing systems and leading technical decisions. For a deeper look at the full career progression, see our cloud computing career guide.
DevOps salary by role specialisation
Not all DevOps roles pay the same. Specialisation matters sometimes more than experience level. The table below compares mid-to-senior salaries across the major infrastructure specialisations.
UK salaries by specialisation
| Role | Mid-Level (GBP) | Senior (GBP) | Principal/Staff (GBP) |
|---|---|---|---|
| DevOps Engineer | £55,000 £80,000 | £80,000 £110,000 | £110,000 £145,000 |
| Site Reliability Engineer (SRE) | £60,000 £85,000 | £85,000 £120,000 | £120,000 £155,000 |
| Platform Engineer | £58,000 £82,000 | £82,000 £115,000 | £115,000 £150,000 |
| Cloud Architect | £70,000 £95,000 | £95,000 £130,000 | £130,000 £180,000 |
| Cloud Security Engineer | £62,000 £88,000 | £88,000 £125,000 | £125,000 £160,000 |
| MLOps Engineer | £65,000 £90,000 | £90,000 £130,000 | £130,000 £170,000 |
| AI Infrastructure Engineer | £75,000 £100,000 | £100,000 £150,000 | £150,000 £220,000+ |
US salaries by specialisation
| Role | Mid-Level (USD) | Senior (USD) | Principal/Staff (USD) |
|---|---|---|---|
| DevOps Engineer | $100,000 $140,000 | $140,000 $190,000 | $190,000 $260,000 |
| Site Reliability Engineer (SRE) | $110,000 $155,000 | $155,000 $210,000 | $210,000 $280,000 |
| Platform Engineer | $105,000 $145,000 | $145,000 $200,000 | $200,000 $270,000 |
| Cloud Architect | $120,000 $165,000 | $165,000 $225,000 | $225,000 $310,000 |
| Cloud Security Engineer | $115,000 $155,000 | $155,000 $215,000 | $215,000 $285,000 |
| MLOps Engineer | $120,000 $160,000 | $160,000 $225,000 | $225,000 $300,000 |
| AI Infrastructure Engineer | $135,000 $180,000 | $180,000 $260,000 | $260,000 $350,000+ |
Two patterns stand out. First, SRE roles consistently pay 5-12% more than equivalent DevOps engineer titles for similar work, reflecting Google's influence on the SRE brand. Second, AI infrastructure is in a league of its own senior AI infrastructure engineers out-earn senior DevOps engineers by 30-50%, and the gap is growing. We cover why in our guide to AI infrastructure.
DevOps salary by city
Location still matters, even in an increasingly remote world. Local cost of living, the density of tech employers, and the presence of specific industries all shape compensation.
UK cities
| City | Entry-Level (GBP) | Mid-Level (GBP) | Senior (GBP) |
|---|---|---|---|
| London | £48,000 £60,000 | £65,000 £90,000 | £90,000 £130,000 |
| Edinburgh | £40,000 £52,000 | £55,000 £75,000 | £75,000 £105,000 |
| Manchester | £38,000 £50,000 | £52,000 £72,000 | £72,000 £100,000 |
| Bristol | £38,000 £50,000 | £52,000 £72,000 | £72,000 £100,000 |
| Birmingham | £36,000 £48,000 | £50,000 £68,000 | £68,000 £95,000 |
| Leeds | £36,000 £48,000 | £48,000 £66,000 | £66,000 £92,000 |
| Remote (UK employer) | £42,000 £55,000 | £58,000 £80,000 | £80,000 £115,000 |
| Remote (US employer) | £50,000 £65,000 | £70,000 £100,000 | £100,000 £150,000+ |
London commands a 15-25% premium over other UK cities at all levels, driven by the concentration of fintech, banking, and tech headquarters. However, the more interesting line is the last one: UK-based engineers working remotely for US companies often earn 20-40% more than they would at UK employers, making this the single biggest salary lever for UK engineers who don't want to relocate.
US cities
| City / Region | Entry-Level (USD) | Mid-Level (USD) | Senior (USD) |
|---|---|---|---|
| San Francisco / Bay Area | $95,000 $120,000 | $135,000 $180,000 | $180,000 $250,000 |
| New York City | $90,000 $115,000 | $125,000 $170,000 | $170,000 $235,000 |
| Seattle | $90,000 $115,000 | $125,000 $165,000 | $165,000 $230,000 |
| Austin | $80,000 $100,000 | $110,000 $145,000 | $145,000 $200,000 |
| Denver / Boulder | $78,000 $98,000 | $105,000 $140,000 | $140,000 $195,000 |
| Atlanta | $75,000 $95,000 | $100,000 $135,000 | $135,000 $185,000 |
| Remote (US employer) | $80,000 $100,000 | $110,000 $150,000 | $150,000 $210,000 |
The Bay Area and NYC still lead, but the premium has compressed as remote hiring spreads. Austin and Denver offer a strong salary-to-cost-of-living ratio, making them popular choices for engineers optimising net take-home pay.
DevOps salary by company type
Where you work matters as much as what you do. Company type is the most underappreciated salary variable.
| Company Type | UK Senior Salary (GBP) | US Senior Total Comp (USD) | Notes |
|---|---|---|---|
| FAANG / Big Tech | £100,000 £150,000 | $250,000 $400,000+ | Highest total comp due to equity. Google, Meta, Amazon, Apple, Microsoft. |
| AI Startup (funded) | £90,000 £140,000 | $180,000 $300,000+ | High base + significant equity upside. Anthropic, OpenAI-adjacent, etc. |
| Fintech / Trading | £95,000 £140,000 | $200,000 $320,000 | Strong cash comp. Stripe, Revolut, Jump Trading, Citadel. |
| Scale-up (Series B-D) | £80,000 £120,000 | $160,000 $250,000 | Good mix of salary and equity with growth potential. |
| Enterprise / FTSE 100 | £75,000 £110,000 | $140,000 $200,000 | Stable, good benefits, slower salary growth. |
| Consultancy | £65,000 £100,000 | $120,000 $180,000 | Lower base, but rapid skill development. Accenture, Deloitte, ThoughtWorks. |
| Early-Stage Startup | £60,000 £90,000 | $100,000 $160,000 | Lower salary, higher equity risk/reward. |
| Public Sector / NHS | £50,000 £75,000 | $90,000 $130,000 | Lower salary, better work-life balance, pension. |
The gap between company types is enormous. A senior DevOps engineer at Google in the US might earn $350,000+ in total compensation, while the same engineer at a mid-sized consultancy might earn $160,000. Same skills, same experience level vastly different pay. If maximising compensation is your goal, company selection is the first lever to pull.
What drives DevOps salary differences
Five factors explain most of the variation in DevOps compensation.
1. Skills and depth of expertise
Not all skills pay equally. The highest-premium skills in 2026, in order:
| Skill | Salary Premium | Why |
|---|---|---|
| Kubernetes (advanced) | +15-25% | Still the hardest infrastructure skill to hire for. Operators, service mesh, GPU scheduling. |
| Terraform (enterprise) | +10-20% | Multi-account, multi-region IaC at scale. Every company needs it, few engineers master it. |
| AI/ML infrastructure | +25-50% | GPU clusters, model serving, ML pipelines. Explosive demand, tiny talent pool. |
| Cloud security | +10-20% | Compliance, zero-trust, supply chain security. Growing regulatory pressure drives demand. |
| Platform engineering | +10-15% | Internal developer platforms. The fastest-growing DevOps sub-discipline. |
| Python (automation) | +5-10% | Table stakes for senior roles. Differentiates from bash-only engineers. |
The takeaway: generalists earn average salaries. Specialists particularly in Kubernetes, AI infrastructure, and security earn premiums that compound over time.
2. Certifications
Certifications don't guarantee salary increases, but they correlate with higher offers, particularly at the entry and mid levels where employers use them as screening criteria.
| Certification | Typical Salary Impact | Best For |
|---|---|---|
| AWS Solutions Architect Associate | +5-10% | Entry to mid-level. Most widely recognised. |
| CKA (Certified Kubernetes Administrator) | +8-15% | Mid to senior. Hands-on exam format carries weight. |
| HashiCorp Terraform Associate | +5-10% | Mid-level. Validates IaC competence. |
| AWS DevOps Professional | +8-12% | Mid to senior. Signals depth. |
| CKSS (Kubernetes Security Specialist) | +10-15% | Senior. Niche and high-value. |
The honest picture: certifications open doors (they pass automated resume screening), but portfolio projects and demonstrable experience close offers. The ideal strategy is 1-2 well-chosen certifications combined with strong project work.
3. Company type and funding stage
Covered in detail in the company type table above. The short version: well-funded companies pay more because they can. AI startups and FAANG compete fiercely for infrastructure talent, which pushes compensation upward. Consultancies and public sector organisations pay less but offer other advantages (variety of projects, stability, work-life balance).
4. Location and remote work
London pays 15-25% more than other UK cities. San Francisco pays 20-35% more than the US average. But the biggest arbitrage opportunity is remote work for US companies from the UK a growing trend that lets UK-based engineers earn significantly above local market rates.
Remote DevOps roles typically pay 85-100% of equivalent on-site roles at the same company. Some companies (GitLab, Automattic) pay the same regardless of location. Others (Google, Meta) adjust for cost of living. The trend is moving toward location-independent pay, particularly for senior roles where the talent pool is global.
5. Negotiation
Negotiation is the most overlooked salary lever. Industry data consistently shows that engineers who negotiate receive 8-15% more than those who accept initial offers. For DevOps roles specifically:
- Always negotiate. The initial offer is rarely the final offer, especially at well-funded companies.
- Use market data. Reference this guide, Levels.fyi, Glassdoor, and your network.
- Negotiate total compensation, not just base salary. Equity, signing bonus, remote work flexibility, and learning budgets all have value.
- Time it right. Negotiate after receiving a written offer, not during interviews.
The AI infrastructure salary premium
The single biggest shift in DevOps compensation since 2024 is the emergence of AI infrastructure as a distinct, premium-paying specialisation. It deserves its own section because the salary differential is so large.
What AI infrastructure engineers do
AI infrastructure engineers apply DevOps and cloud engineering skills to the specific challenges of running AI/ML workloads:
- GPU cluster management: Provisioning, scheduling, and optimising NVIDIA A100/H100/H200 GPU clusters
- Model serving infrastructure: Deploying LLMs and other models at scale using vLLM, Triton, or TorchServe
- ML pipeline orchestration: Building training and inference pipelines with Kubeflow, Airflow, or custom systems
- Cost optimisation: Managing GPU compute budgets of £50,000-500,000+ per month
- Monitoring and reliability: Tracking model latency, throughput, accuracy drift, and GPU utilisation
Why the premium exists
The salary premium for AI infrastructure roles is driven by three forces:
1. Explosive demand. Every AI company from OpenAI to small startups needs engineers who can run GPU infrastructure reliably. The number of companies building AI products has grown faster than the number of engineers who know how to operate the underlying infrastructure.
2. Rare skill combination. AI infrastructure requires deep DevOps skills (Kubernetes, Terraform, networking, monitoring) combined with AI/ML-specific knowledge (GPU hardware, model serving, training pipelines). Few engineers have both. This is not something you pick up in a weekend workshop.
3. High business impact. GPU infrastructure costs are often the largest line item for AI companies. An engineer who reduces GPU costs by 20% or improves model serving latency by 30% directly affects the company's bottom line and product quality. That impact justifies premium compensation.
AI infrastructure salary data
| Level | UK Salary (GBP) | US Total Comp (USD) |
|---|---|---|
| Mid-Level AI Infra Engineer | £75,000 £100,000 | $140,000 $200,000 |
| Senior AI Infra Engineer | £100,000 £150,000 | $200,000 $300,000 |
| Staff / Principal AI Infra | £150,000 £220,000+ | $300,000 $400,000+ |
| GPU Cloud Architect | £130,000 £200,000 | $250,000 $380,000 |
| Head of AI Infrastructure | £160,000 £250,000+ | $320,000 $500,000+ |
These numbers are 30-60% higher than equivalent non-AI DevOps roles at the same companies. The premium shows no signs of shrinking if anything, it's growing as AI adoption accelerates across industries.
The path into AI infrastructure starts with solid DevOps fundamentals. You need strong Kubernetes, cloud, and Terraform skills before layering on GPU and ML-specific expertise. Our AI infrastructure guide covers the full learning path, and our article on why AI companies hire DevOps engineers explains the demand side in detail.
How to maximise your DevOps salary
Based on the data above, here are the highest-impact actions you can take to increase your DevOps compensation ranked by likely return on investment.
1. Specialise in a high-demand area
The biggest salary gains come from specialisation. Generic "DevOps engineer" roles pay well, but specialising in AI infrastructure, cloud security, or platform engineering pushes you into a smaller talent pool competing for a larger number of roles.
Action: Choose one specialisation and go deep. Build projects, write about it, contribute to open-source tools in that space. Within 6-12 months, you'll stand out from generalists.
2. Target the right companies
Company type is the second-biggest salary lever. If you have the skills for FAANG, AI startups, or fintech, apply there. The salary difference between a senior DevOps role at a consultancy (£80,000) and at a FAANG company (£130,000+) is larger than the difference between mid-level and senior at the same company.
Action: Research target companies on Levels.fyi and Glassdoor. Build a shortlist of 10-15 companies in the highest-paying categories that align with your interests.
3. Build Kubernetes and Terraform depth
These two skills appear in nearly every high-paying DevOps job listing. Surface-level knowledge (basic deployments, simple modules) is not enough. Employers pay premiums for engineers who can design Kubernetes platforms with custom operators, service mesh, and multi-cluster architectures, or who can build enterprise Terraform codebases with custom providers and policy-as-code.
Action: Build a complex project using both. Deploy a multi-service application on Kubernetes with Terraform-managed infrastructure, monitoring, and CI/CD. Document it as a portfolio piece. See our DevOps tools guide for the full toolkit.
4. Work remotely for US companies (if UK-based)
UK engineers working for US companies earn 20-40% more than the UK market rate. Remote DevOps roles are common infrastructure work translates well to remote settings. This is the single fastest way to increase compensation without changing your skill level.
Action: Search for "remote" DevOps roles at US-headquartered companies on LinkedIn, AngelList, and We Work Remotely. Many US companies actively recruit UK-based engineers for the time zone overlap with European customers.
5. Get 1-2 strategic certifications
As discussed above, certifications have the highest ROI at entry and mid levels. AWS Solutions Architect Associate and CKA are the strongest choices. Don't collect certifications get two that matter and invest the rest of your time in hands-on projects.
Action: If you have fewer than two certifications, prioritise AWS SAA. If you already have it, add CKA or Terraform Associate.
6. Negotiate every offer
The final 8-15% is won at the negotiation table. Prepare by researching market rates (use this guide), understanding the company's compensation structure, and practising your negotiation conversation.
Action: Never accept the first offer. Respond with: "I'm very interested in this role. Based on my research and the market data I've seen, I was expecting [X]. Is there flexibility on the compensation package?" This single sentence is worth thousands of pounds per year.
7. Build a visible portfolio
Employers pay more for engineers they can evaluate before the interview. A GitHub profile with well-documented infrastructure projects, a technical blog, or conference talks all signal competence and reduce hiring risk. Reduced risk translates to higher offers.
Action: Create 2-3 portfolio projects that demonstrate your strongest skills. Write clear READMEs explaining the architecture decisions, not just the commands. If you're unsure where to start, our guide to learning DevOps with no experience includes project ideas at every level.
DevOps vs. related roles: salary comparison
For context, here is how DevOps engineer salaries compare to adjacent roles at the mid-to-senior level.
| Role | UK Mid-Senior (GBP) | US Mid-Senior (USD) | Comparison |
|---|---|---|---|
| DevOps Engineer | £55,000 £110,000 | $100,000 $190,000 | Baseline |
| Software Engineer (Backend) | £50,000 £100,000 | $95,000 $175,000 | 5-10% less |
| Data Engineer | £55,000 £105,000 | $100,000 $180,000 | Similar |
| Frontend Developer | £45,000 £90,000 | $85,000 $160,000 | 10-20% less |
| Product Manager | £55,000 £110,000 | $105,000 $185,000 | Similar |
| Engineering Manager | £75,000 £130,000 | $140,000 $230,000 | 15-25% more (management track) |
DevOps engineers consistently out-earn backend software developers by 5-15% at equivalent experience levels. The premium reflects the operational responsibility (on-call, production systems) and the smaller talent pool. For a comprehensive look at how these roles map to career paths, see our cloud computing career guide.
Salary trends and outlook
Three trends will shape DevOps salaries through the rest of 2026 and into 2027:
1. AI infrastructure premiums will persist. The shortage of engineers who can manage GPU clusters and ML infrastructure is structural, not cyclical. As AI adoption expands beyond tech into healthcare, finance, manufacturing, and government, demand will grow faster than supply for at least the next 2-3 years.
2. Platform engineering will become the standard DevOps evolution. Companies are consolidating DevOps, SRE, and cloud engineering into platform teams. Platform engineers who build internal developer platforms are commanding growing premiums, and the trend is accelerating.
3. Security skills will carry increasing premiums. Regulatory pressure (SOC 2, ISO 27001, GDPR enforcement) and the growing attack surface of cloud-native systems are pushing cloud security skills higher in the salary rankings. DevOps engineers who add security depth will differentiate themselves.
The bottom line: DevOps salaries are high and rising. The field rewards specialisation, depth, and the ability to work on complex systems. Whether you're entering the field for the first time or positioning yourself for the next level, the data shows a clear path to strong compensation and the AI era is making every step of that path more valuable.
For more on how AI is reshaping tech careers and which skills will remain in demand, read our analysis of AI-proof tech careers.
Frequently Asked Questions
Ola
Founder, CloudPros
Building the most hands-on DevOps bootcamp for the AI era. 16 weeks of real infrastructure, real projects, real career outcomes.