Senior Devops / Platform Engineer

About the RoleWe’re looking for a Senior DevOps / Platform EngineerYou’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 ratesFully remote work environmentsSelf-managed time offImportant:This will be a permanent employment opportunity for candidates based in Spain.For other locations, it will be a B2B contract.ResponsibilitiesOwn the strategy, architecture, and operation of our platform and release-engineering systemsDesign and maintain scalable infrastructure using GCP, Cloud Run, infrastructure as code, and managed cloud servicesOwn CI across a six-repository cluster, ensuring changes can be built, tested, integrated, and released safely at high velocityBuild and operate the platform gates governing trunk integration, merge readiness, regression testing, and production releasesImplement and maintain merge queues, GitHub rulesets, branch protections, required checks, and repository-level delivery policiesDesign isolated, reproducible review, build, integration, and QA environmentsBuild release automation that supports progressive delivery, controlled rollouts, rapid rollback, and clear promotion criteriaImprove build performance, test reliability, caching, dependency management, and CI resource efficiencyEstablish release observability, including deployment status, pipeline health, failure diagnostics, lead time, and change-failure metricsCreate clear release-gating policies that balance delivery speed with product stabilityPartner with engineers to improve testability, deployment safety, and operational readinessReduce manual intervention throughout the build, integration, and release lifecycleInvestigate CI, environment, and release failures, lead root-cause analysis, and implement lasting corrective actionsApply secure-by-default practices to credentials, permissions, artefacts, dependencies, environments, and deployment workflowsDefine platform standards and documentation that improve developer autonomy and onboardingUse AI agents and AI-enabled engineering tools to build, operate, troubleshoot, and continuously improve platform systemsEvaluate emerging AI-native approaches to release engineering, infrastructure management, testing, and operational automationDay-One MandateYour initial mandate will be to take ownership of the platform gates and release pipeline, including:Establishing a reliable merge queue and trunk-integration modelDefining integration and regression gates across the repository clusterIntroducing isolated review and QA environmentsStrengthening GitHub rulesets, branch protection, and required-check policiesCreating a consistent, automated release pipelineImplementing progressive delivery and rollback mechanismsImproving visibility into build, integration, and release healthPrioritising and delivering the existing backlog of foundational platform workRequired Qualifications6+ years of experience in Platform Engineering, Release Engineering, DevOps, SRE, Infrastructure Engineering, or a closely related roleDemonstrated experience independently owning a platform or release-engineering functionStrong production experience with Google Cloud Platform, particularly Cloud Run and related managed servicesDeep experience designing and operating CI/CD systems using GitHub ActionsStrong knowledge of GitHub rulesets, branch protection, required checks, merge queues, and Git-based delivery workflowsExperience operating CI at scale across multiple repositories, services, or interdependent componentsProven experience building release automation and progressive-delivery workflows Experience designing safe trunk-based development and continuous-delivery systemsStrong understanding of build pipelines, test orchestration, artefact management, environment promotion, and rollback strategiesExperience creating isolated preview, review, integration, or QA environmentsStrong knowledge of infrastructure as code and automated cloud provisioningSolid understanding of Linux, containers, networking, IAM, secrets management, and cloud security fundamentalsExperience improving CI reliability, performance, reproducibility, and cost efficiencyAbility to diagnose complex failures across source control, CI systems, cloud infrastructure, applications, and test environmentsProficiency in at least one scripting or programming language, such as Python, Bash, Go, or TypeScriptStrong written communication and the ability to define technical standards, explain trade-offs, and drive adoptionAbility to work effectively with a Europe-based distributed teamAI-Native WorkingAI-native fluency is a non-negotiable requirement for this role.You should be comfortable using AI agents and tooling as part of your normal engineering workflow-not as an occasional assistant, but as a core part of how you deliver work.This includes using AI to:Design and evaluate platform architecturesGenerate, review, and improve infrastructure and pipeline codeBuild internal tooling and release automationInvestigate CI failures and production issuesAnalyse logs, tests, deployments, and operational signalsCreate and maintain documentationAutomate repetitive engineering and operational tasksCoordinate complex changes across multiple repositoriesIncrease the speed and scope of your individual contributionYou’ll also help establish effective patterns for how AI agents interact with our repositories,delivery systems, environments, and operational workflows.Optional, but Good to HaveExperience with Cloud Build, Artifact Registry, Pub/Sub, Workflows, Secret Manager, or other GCP platform servicesExperience with Terraform, Pulumi, or similar infrastructure-as-code toolingFamiliarity with progressive-delivery platforms or techniques such as canary releases, traffic splitting, feature flags, or automated promotionExperience managing monorepos or tightly coupled multi-repository architecturesFamiliarity with contract testing, end-to-end testing, test-impact analysis, or selective CI executionExperience implementing episodic environments and automated environment lifecycle managementExperience with container supply-chain security, software bills of materials, artefact signing, or provenance controlsFamiliarity with policy-as-code, dependency scanning, vulnerability scanning, and secrets detectionExperience with observability tooling such as Google Cloud Monitoring, OpenTelemetry, Grafana, Datadog, or SentryExperience defining and tracking delivery metrics such as deployment frequency, lead time, change-failure rate, and recovery timeExperience building developer platforms, internal developer portals, or self-service engineering workflowsFamiliarity with AI coding agents, agent orchestration, model context protocols, or AI-enabled operational toolingExperience in a startup or other fast-moving product engineering environmentExperience mentoring engineers or leading cross-functional platform initiativesWhat Success Looks LikeWithin your first months, we expect to see:A clearly owned and prioritised platform and release-engineering roadmapSafer trunk integration with predictable, enforceable merge gatesReliable integration and regression testing across the repository clusterIsolated review and QA environments that can be created and removed automaticallyA consistent release process with progressive rollout and rollback supportFaster, more reliable CI with fewer unexplained or intermittent failuresGreater visibility into pipeline health, release status, and delivery performanceReduced manual intervention and increased developer confidence in continuous deliveryEffective use of AI agents to accelerate platform development and ongoing operationsAbout CipherScaleCipherScale is building an AI-native Zero Trust security platform for a world where enterprise infrastructure is increasingly operated by humans and autonomous agents through natural language, agent protocols, and machine- to-machine capabilities.AI agents and agentic systemsModel Context Protocol (MCP)Zero Trust, identity, and authorizationNetworking and distributed systemsCloud infrastructure and enterprise securityWhat We OfferCompetitive salary and comprehensive benefitsA senior ownership role with responsibility for a critical engineering surfaceThe autonomy to define platform strategy, standards, and technical directionThe opportunity to build foundational systems with immediate, measurable impactA fast-moving, AI-native engineering environmentDirect collaboration with technical leadership and product engineersSupport to experiment, automate, and introduce better ways of workingA culture that values speed, ownership, sound judgement, and reliable delivery#J-*****-Ljbffr

platform gates and release pipeline, including:Establishing a reliable merge queue and trunk-integration modelDefining integration and regression gates across the repository clusterIntroducing isolated review and QA environmentsStrengthening GitHub rulesets, branch protection, and required-check policiesCreating a consistent, automated release pipelineImplementing progressive delivery and rollback mechanismsImproving visibility into build, integration, and release healthPrioritising and delivering the existing backlog of foundational platform workRequired Qualifications6+ years of experience in Platform Engineering, Release Engineering, DevOps, SRE, Infrastructure Engineering, or a closely related roleDemonstrated experience independently owning a platform or release-engineering functionStrong production experience with Google Cloud Platform, particularly Cloud Run and related managed servicesDeep experience designing and operating CI/CD systems using GitHub ActionsStrong knowledge of GitHub rulesets, branch protection, required checks, merge queues, and Git-based delivery workflowsExperience operating CI at scale across multiple repositories, services, or interdependent componentsProven experience building release automation and progressive-delivery workflows Experience designing safe trunk-based development and continuous-delivery systemsStrong understanding of build pipelines, test orchestration, artefact management, environment promotion, and rollback strategiesExperience creating isolated preview, review, integration, or QA environmentsStrong knowledge of infrastructure as code and automated cloud provisioningSolid understanding of Linux, containers, networking, IAM, secrets management, and cloud security fundamentalsExperience improving CI reliability, performance, reproducibility, and cost efficiencyAbility to diagnose complex failures across source control, CI systems, cloud infrastructure, applications, and test environmentsProficiency in at least one scripting or programming language, such as Python, Bash, Go, or TypeScriptStrong written communication and the ability to define technical standards, explain trade-offs, and drive adoptionAbility to work effectively with a Europe-based distributed teamAI-Native WorkingAI-native fluency is a non-negotiable requirement for this role.You should be comfortable using AI agents and tooling as part of your normal engineering workflow-not as an occasional assistant, but as a core part of how you deliver work.This includes using AI to:Design and evaluate platform architecturesGenerate, review, and improve infrastructure and pipeline codeBuild internal tooling and release automationInvestigate CI failures and production issuesAnalyse logs, tests, deployments, and operational signalsCreate and maintain documentationAutomate repetitive engineering and operational tasksCoordinate complex changes across multiple repositoriesIncrease the speed and scope of your individual contributionYou’ll also help establish effective patterns for how AI agents interact with our repositories,delivery systems, environments, and operational workflows.Optional, but Good to HaveExperience with Cloud Build, Artifact Registry, Pub/Sub, Workflows, Secret Manager, or other GCP platform servicesExperience with Terraform, Pulumi, or similar infrastructure-as-code toolingFamiliarity with progressive-delivery platforms or techniques such as canary releases, traffic splitting, feature flags, or automated promotionExperience managing monorepos or tightly coupled multi-repository architecturesFamiliarity with contract testing, end-to-end testing, test-impact analysis, or selective CI executionExperience implementing episodic environments and automated environment lifecycle managementExperience with container supply-chain security, software bills of materials, artefact signing, or provenance controlsFamiliarity with policy-as-code, dependency scanning, vulnerability scanning

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 ratesFully remote work environmentsSelf-managed time offImportant:This will be a permanent employment opportunity for candidates based in Spain.

For other locations, it will be a B2B contract.ResponsibilitiesOwn the strategy, architecture, and operation of our platform and release-engineering systemsDesign and maintain scalable infrastructure using GCP, Cloud Run, infrastructure as code, and managed cloud servicesOwn CI across a six-repository cluster, ensuring changes can be built, tested, integrated, and released safely at high velocityBuild and operate the platform gates governing trunk integration, merge readiness, regression testing, and production releasesImplement and maintain merge queues, GitHub rulesets, branch protections, required checks, and repository-level delivery policiesDesign isolated, reproducible review, build, integration, and QA environmentsBuild release automation that supports progressive delivery, controlled rollouts, rapid rollback, and clear promotion criteriaImprove build performance, test reliability, caching, dependency management, and CI resource efficiencyEstablish release observability, including, and secrets detectionExperience with observability tooling such as Google Cloud Monitoring, OpenTelemetry, Grafana, Datadog, or SentryExperience defining and tracking delivery metrics such as deployment frequency, lead time, change-failure rate, and recovery timeExperience building developer platforms, internal developer portals, or self-service engineering workflowsFamiliarity with AI coding agents, agent orchestration, model context protocols, or AI-enabled operational toolingExperience in a startup or other fast-moving product engineering environmentExperience mentoring engineers or leading cross-functional platform initiativesWhat Success Looks LikeWithin your first months, we expect to see:A clearly owned and prioritised platform and release-engineering roadmapSafer trunk integration with predictable, enforceable merge gatesReliable integration and regression testing across the repository clusterIsolated review and QA environments that can be created and removed automaticallyA consistent release process with progressive rollout and rollback supportFaster, more reliable CI with fewer unexplained or intermittent failuresGreater visibility into pipeline health, release status, and delivery performanceReduced manual intervention and increased developer confidence in continuous deliveryEffective use of AI agents to accelerate platform development and ongoing operationsAbout CipherScaleCipherScale is building an AI-native Zero Trust security platform for a world where enterprise infrastructure is increasingly operated by humans and autonomous agents through natural language, agent protocols, and machine- to-machine capabilities.AI agents and agentic systemsModel Context Protocol (MCP)Zero Trust, identity, and authorizationNetworking and distributed systemsCloud infrastructure and enterprise securityWhat We OfferCompetitive salary and comprehensive benefitsA senior ownership role with responsibility for a critical engineering surfaceThe autonomy to define platform strategy, standards, and technical directionThe opportunity to build foundational systems with immediate, measurable impactA fast-moving, AI-native engineering environmentDirect collaboration with technical leadership and product engineersSupport to experiment, automate, and introduce better ways of workingA culture that values speed, ownership, sound judgement, and reliable delivery#J-*****-Ljbffr