Senior DevOps / Platform Engineer

About the Role

We’re looking for a Senior DevOps / Platform Engineer for [CipherScale’s AI-native](https://cipherscalepoc.com/) platform to take independent ownership of the platform and release-engineering systems behind our continuous delivery model.

You’ll own the infrastructure, automation, and controls that govern how software is built, integrated, validated, and released. Your initial focus will be on strengthening trunk-integration safety, introducing robust release gates, isolating build and QA environments, and improving confidence across the entire delivery lifecycle.

This is not a ticket-execution role. You’ll set direction for the platform and release-engineering surface, establish the standards behind it, and work directly with engineers to remove delivery bottlenecks. You’ll be expected to identify foundational gaps, design pragmatic solutions, and take them through implementation, adoption, and operation.

We are an AI-native engineering organisation. AI agents and tooling perform a meaningful share of the implementation and operational work, and fluency with this way of working is essential. You’ll use AI to design systems, build automation, investigate failures, accelerate delivery, and continuously improve the platform.

Our philosophy is that we are a small, close-knit team, and we care deeply about you:

• Competitive pay rates
• Fully remote work environments
• Self-managed time off

Important:

• This will be a permanent employment opportunity for candidates based in Spain. For other locations, it will be a B2B contract.

Responsibilities

• Own the strategy, architecture, and operation of our platform and release-engineering systems
• Design and maintain scalable infrastructure using GCP, Cloud Run, infrastructure as code, and managed cloud services
• Own CI across a six-repository cluster, ensuring changes can be built, tested, integrated, and released safely at high velocity
• Build and operate the platform gates governing trunk integration, merge readiness, regression testing, and production releases
• Implement and maintain merge queues, GitHub rulesets, branch protections, required checks, and repository-level delivery policies
• Design isolated, reproducible review, build, integration, and QA environments
• Build release automation that supports progressive delivery, controlled rollouts, rapid rollback, and clear promotion criteria
• Improve build performance, test reliability, caching, dependency management, and CI resource efficiency
• Establish release observability, including deployment status, pipeline health, failure diagnostics, lead time, and change-failure metrics

• Create clear release-gating policies that balance delivery speed with product stability
• Partner with engineers to improve testability, deployment safety, and operational readiness
• Reduce manual intervention throughout the build, integration, and release lifecycle
• Investigate CI, environment, and release failures, lead root-cause analysis, and implement lasting corrective actions
• Apply secure-by-default practices to credentials, permissions, artefacts, dependencies, environments, and deployment workflows
• Define platform standards and documentation that improve developer autonomy and onboarding
• Use AI agents and AI-enabled engineering tools to build, operate, troubleshoot, and continuously improve platform systems
• Evaluate emerging AI-native approaches to release engineering, infrastructure management, testing, and operational automation