About the Role

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We’re looking for a Senior DevOps / Platform Engineer

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

Day-One Mandate





Your initial mandate will be to take ownership of the platform gates and release pipeline, including:

Establishing a reliable merge queue and trunk-integration model

Defining integration and regression gates across the repository cluster

Introducing isolated review and QA environments

Strengthening GitHub rulesets, branch protection, and required-check policies

Creating a consistent, automated release pipeline

Implementing progressive delivery and rollback mechanisms

Improving visibility into build, integration, and release health

Prioritising and delivering the existing backlog of foundational platform work

Required Qualifications

6+ years of experience in Platform Engineering, Release Engineering, DevOps, SRE, Infrastructure Engineering, or a closely related role

Demonstrated experience independently owning a platform or release-engineering function

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

Deep experience designing and operating CI/CD systems using GitHub Actions

Strong knowledge of GitHub rulesets, branch protection, required checks, merge queues, and Git-based delivery workflows

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

Proven experience building release automation and progressive-delivery workflows Experience designing safe trunk-based development and continuous-delivery systems

Strong understanding of build pipelines, test orchestration, artefact management, environment promotion, and rollback strategies

Experience creating isolated preview, review, integration, or QA environments

Strong knowledge of infrastructure as code and automated cloud provisioning

Solid understanding of Linux, containers, networking, IAM, secrets management, and cloud security fundamentals

Experience 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

Strong written communication and the ability to define technical standards, explain trade-offs, and drive adoption

Ability to work effectively with a Europe-based distributed team

AI-Native Working

AI-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 architectures

Generate, review, and improve infrastructure and pipeline code

Build internal tooling and release automation

Investigate CI failures and production issues

Analyse logs, tests, deployments, and operational signals

Create and maintain documentation

Automate repetitive engineering and operational tasks

Coordinate complex changes across multiple repositories

Increase the speed and scope of your individual contribution





You’ll also help establish effective patterns for how AI agents interact with our repositories,

delivery systems, environments, and operational workflows. xugodme

Optional, but Good to Have

Experience with Cloud Build, Artifact Registry, Pub/Sub, Workflows, Secret Manager, or other GCP platform services

Experience with Terraform, Pulumi, or similar infrastructure-as-code tooling

Familiarity with progressive-delivery platforms or techniques such as canary releases, traffic splitting, feature flags, or automated promotion

Experience managing monorepos or tightly coupled multi-repository architectures

Familiarity with contract testing, end-to-end testing, test-impact analysis, or selective CI execution

Experience implementing episodic environments and automated environment lifecycle management

Experience with container supply-chain security, software bills of materials, artefact signing, or provenance controls

Familiarity with policy-as-code, dependency scanning, vulnerability scanning, and secrets detection

Experience with observability tooling such as Google Cloud Monitoring, OpenTelemetry, Grafana, Datadog, or Sentry

Experience defining and tracking delivery metrics such as deployment frequency, lead time, change-failure rate, and recovery time

Experience building developer platforms, internal developer portals, or self-service engineering workflows

Familiarity with AI coding agents, agent orchestration, model context protocols, or AI-enabled operational tooling

Experience in a startup or other fast-moving product engineering environment

Experience mentoring engineers or leading cross-functional platform initiatives

What Success Looks Like

Within your first months, we expect to see:

A clearly owned and prioritised platform and release-engineering roadmap

Safer trunk integration with predictable, enforceable merge gates

Reliable integration and regression testing across the repository cluster

Isolated review and QA environments that can be created and removed automatically A consistent release process with progressive rollout and rollback support

Faster, more reliable CI with fewer unexplained or intermittent failures

Greater visibility into pipeline health, release status, and delivery performance

Reduced manual intervention and increased developer confidence in continuous delivery

Effective use of AI agents to accelerate platform development and ongoing operations

About CipherScale

CipherScale 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 systems

Model Context Protocol (MCP)

Zero Trust, identity, and authorization

Networking and distributed systems

Cloud infrastructure and enterprise security

What We Offer

Competitive salary and comprehensive benefits A senior ownership role with responsibility for a critical engineering surface The autonomy to define platform strategy, standards, and technical direction The opportunity to build foundational systems with immediate, measurable impact A fast-moving, AI-native engineering environment

Direct collaboration with technical leadership and product engineers

Support to experiment, automate, and introduce better ways of working A culture that values speed, ownership, sound judgement, and reliable delivery

📌 Senior DevOps / Platform Engineer (España)
🏢 OpenVPN
📍 España