DevOps Specialisation Salaries: SRE, Platform Eng, DevSecOps, MLOps & More

SRE is the most established DevOps specialisation, originating at Google in 2003. SREs earn 15-20% more than general DevOps engineers, reflecting deeper engineering requirements and heavier on-call burden. The role bridges software engineering and operations, requiring the ability to write production-grade code, design reliability frameworks around SLOs and error budgets, and manage incident response for critical systems. At Google, SREs are expected to spend 50% of their time on engineering projects and no more than 50% on operational work. This engineering emphasis is what distinguishes SRE from DevOps and what drives the salary premium. The talent pool is smaller because the role demands both software engineering depth and operations expertise. Most SREs came from either software engineering (adding ops knowledge) or DevOps (adding engineering depth). See our dedicated <a href='/sre-vs-devops' class='text-blue underline underline-offset-2 hover:text-accent'>SRE vs DevOps comparison</a> for detailed analysis.

Platform engineering is the hottest DevOps specialisation in 2026, growing faster than any other role in the infrastructure space. The CNCF 2025 survey showed 78% of enterprises adopting or planning internal developer platforms, up from 44% in 2023. Platform engineers build the tooling and abstractions that allow product engineers to deploy and manage their own services without deep infrastructure knowledge. The role emphasises developer experience, API design, and self-service workflows rather than traditional operations work. Salary premiums of 10-15% reflect the emerging nature of the role and the specific skills required: Backstage adoption, golden path design, and platform product management. Many companies are rebranding their DevOps teams as platform teams, which often comes with title and salary adjustments. If you are a mid-level DevOps engineer looking to specialise, platform engineering offers strong growth trajectory with moderate on-call burden.

DevSecOps engineers integrate security practices into the software delivery lifecycle, a role that has become increasingly critical as regulatory requirements tighten and supply chain attacks escalate. The 15-25% salary premium over general DevOps reflects two factors: high demand from regulated industries (finance, healthcare, government) and a severe supply shortage of engineers with both DevOps and security expertise. DevSecOps work is less about firewalls and penetration testing and more about embedding security into CI/CD pipelines. Practical skills include implementing policy-as-code with OPA or Kyverno, managing secrets with Vault, generating and validating SBOMs, container image scanning, and automating compliance reporting. The SEC cyber disclosure rules enacted in 2024 and ongoing GDPR enforcement created board-level urgency for security automation, translating directly into budget for DevSecOps hires. On-call expectations are incident-driven rather than rotation-based. When a security event occurs, DevSecOps engineers lead the response. Between incidents, the work is primarily engineering and process improvement.

MLOps and AI infrastructure is the highest-paying and fastest-growing DevOps specialisation. Job postings grew 140% between 2024 and 2025, and salaries range from $150K to $230K with premiums of 20-35% over general DevOps. Every company building or deploying AI models needs engineers who understand GPU scheduling, distributed training infrastructure, model serving at scale, and ML pipeline orchestration. The role combines traditional DevOps skills (CI/CD, Kubernetes, monitoring) with ML-specific knowledge (GPU memory management, model versioning, A/B testing for models, inference optimisation). The talent pool is extremely small because it requires expertise across two traditionally separate domains. Engineers entering this space now are positioned for sustained demand as AI adoption accelerates across every industry. The highest salaries are at AI-native companies (OpenAI, Anthropic, Databricks) where MLOps engineers are as critical as ML researchers.

Cloud architects sit at the intersection of technical depth and business strategy, designing the infrastructure that supports entire organisations. The 15-30% premium over general DevOps reflects the combination of deep technical knowledge and business acumen required. Cloud architects typically have 8+ years of experience and have progressed through hands-on engineering roles before moving into architecture. The role involves less hands-on implementation and more design, planning, and stakeholder management. Architecture decisions have multi-year and multi-million dollar implications: choosing between multi-cloud and single-cloud strategies, designing disaster recovery, planning cloud migrations, and optimising infrastructure spend. On-call expectations are minimal because the role is design-focused rather than operational. However, cloud architects are often called in for major incident post-mortems and architectural reviews. The role naturally evolves toward VP of Engineering or CTO for those interested in management, or toward Principal/Distinguished Engineer for those staying on the IC track.

Release engineering is the most traditional and narrowest DevOps specialisation, focused on the mechanics of getting software from source control to production. The minimal salary premium (0-5%) reflects that much of what release engineers do has been automated by CI/CD platforms and GitOps workflows. At companies with complex release processes (gaming, embedded systems, regulated industries), release engineers coordinate multi-team deployments, manage release trains, and ensure compliance with change management requirements. The role is stable but not growing. At most tech companies, release engineering responsibilities have been absorbed into general DevOps or platform engineering roles. If you are currently a release engineer, expanding into platform engineering or CI/CD pipeline architecture will provide stronger career trajectory and salary growth.