Senior DevOps – Platform Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Take responsibility for the strategy, architecture, and operation of platform and release-engineering systems.

• Design and maintain scalable infrastructure utilizing GCP, Cloud Run, infrastructure as code, and managed cloud services.

• Manage continuous integration across a six-repository cluster.

• Construct and operate platform gates for trunk integration, merge readiness, regression testing, and production releases.

• Implement merge queues, GitHub rulesets, branch protections, required checks, and delivery policies at the repository level.

• Create isolated, reproducible environments for review, build, integration, and QA processes.

• Develop release automation that supports progressive delivery, controlled rollouts, rapid rollback, and clear promotion criteria.

• Enhance build performance, test reliability, caching, dependency management, and CI resource efficiency.

• Establish metrics for release observability and delivery.

• Collaborate with engineers to enhance testability, deployment safety, and operational readiness.

• Minimize manual intervention throughout the build, integration, and release lifecycle.

• Investigate CI, environment, and release failures, lead root-cause analysis, and implement corrective measures.

• Apply secure-by-default practices to credentials, permissions, artifacts, dependencies, environments, and deployment workflows.

• Define platform standards and maintain documentation.

• Utilize AI agents and AI-enabled engineering tools to build, operate, troubleshoot, and enhance platform systems.

• Assess AI-native approaches to release engineering, infrastructure management, testing, and operational automation.

⛳️ Requirements

• A minimum of 6 years of experience in Platform Engineering, Release Engineering, DevOps, SRE, Infrastructure Engineering, or a closely related field.

• Proven experience in independently managing a platform or release-engineering function.

• Strong production experience with Google Cloud Platform, particularly with Cloud Run and related managed services.

• Extensive experience in designing and operating CI/CD systems using GitHub Actions.

• Strong familiarity with GitHub rulesets, branch protection, required checks, merge queues, and Git-based delivery workflows.

• Experience in operating CI at scale across multiple repositories, services, or interdependent components.

• Demonstrated experience in building release automation and progressive-delivery workflows.

• Experience in designing safe trunk-based development and continuous-delivery systems.

• Strong understanding of build pipelines, test orchestration, artifact management, environment promotion, and rollback strategies.

• Experience in creating isolated preview, review, integration, or QA environments.

• Strong knowledge of infrastructure as code and automated cloud provisioning.

• Understanding of Linux, containers, networking, IAM, secrets management, and cloud security fundamentals.

• Experience in improving CI reliability, performance, reproducibility, and cost efficiency.

• Ability to diagnose complex failures across source control, CI systems, cloud infrastructure, applications, and test environments.

• Proficiency in at least one scripting or programming language, such as Python, Bash, Go, or TypeScript.

• Excellent written communication skills with the capability to define technical standards, explain trade-offs, and drive adoption.

• Ability to collaborate effectively with a Europe-based distributed team.

• AI-native fluency is a non-negotiable requirement.

• Comfort in using AI agents and tooling as an integral part of the regular engineering workflow.

• Optional experience with additional GCP services, Terraform or Pulumi, progressive-delivery techniques, monorepos, testing systems, ephemeral environments, supply-chain security, policy-as-code, observability tools, delivery metrics, developer platforms, AI coding agents, startups, mentoring, or cross-functional initiatives.

🏝️ Benefits

• Competitive pay rates.

• Fully remote work environments.

• Self-managed time off.

• Competitive salary and comprehensive benefits.

• Autonomy to define platform strategy, standards, and technical direction.

• Opportunity to build foundational systems with immediate, measurable impact.

• Fast-moving, AI-native engineering environment.

• Direct collaboration with technical leadership and product engineers.

• Support for experimentation, automation, and the introduction of improved working methods.

• A culture that values speed, ownership, sound judgement, and reliable delivery.