Cloud Security Engineer

Happyrobot Inc.; Bellprat; Presencial; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare coverage

Dental coverage

Vision coverage

Equity / ownership in the company

Descripción de la vacante

HappyRobot Inc. is seeking a Cloud Security Engineer to own cloud security posture across AWS, Azure, and GCP, shipping policy-as-code gates and driving remediation with engineers across teams.

You’ll define a consistent security baseline, harden Kubernetes and container security, and lead cross-team remediation with a platform mindset to scale guardrails with Terraform and CI/CD.

Formación

• 4–6 years in cloud security or platform security.
• Deep knowledge in at least one major cloud provider (IAM, networking, encryption, logging).
• Hands-on CNAPP/CSPM capabilities with triage and remediation.
• Terraform in production with policy-as-code in CI/CD.
• Kubernetes security fundamentals: RBAC, admission controls, image scanning.
• Scripting in Python or Go.
• Professional English level (B2+).

Responsabilidades

• Own cloud posture management across CNAPP and drive remediation to SLA.
• Design and ship policy-as-code gates in Terraform pipelines.
• Enforce a consistent multi-cloud security baseline (IAM, networking, encryption, logging).
• Harden Kubernetes clusters and container security across environments.
• Lead remediation with engineering teams and track SLAs.
• Grow Terraform-driven guardrails and reduce misconfigurations.

Conocimientos

Cloud security

Major cloud providers (AWS/Azure/GCP)

CNAPP/CSPM experience

Terraform in production

Kubernetes security

Python or Go

English B2+

Herramientas

OPA/Rego

Checkov

tfsec

Descripción del empleo

About HappyRobot

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $150M raised, we power critical operations for global enterprises worldwide.

Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.

Role Overview

We are looking for a Cloud Security Engineer to join our team. You will be the single accountable owner for cloud security posture across AWS, Azure, and GCP — bringing the technical depth and operational discipline to keep our infrastructure hardened, our findings remediated on SLA, and our security baseline consistent across every environment we run.

This is not a governance or advisory role. Your deepest strength is the ability to own outcomes end-to-end: triaging Wiz findings by real-world exploitability, shipping policy-as-code gates that catch misconfigurations before they hit production, and getting remediation done by engineering teams you don't manage. That said, you operate with a platform mindset — building guardrails that scale rather than manually reviewing every change.

What You'll Do

• Cloud Posture Management Own the CNAPP end-to-end. Triage Wiz findings by exploitability and business impact, drive remediation across engineering teams to SLA and keep the backlog from accumulating. Be the person who actually gets findings closed, not just reported.

• IaC Security Design and ship policy-as-code gates in the Terraform pipeline that block misconfigurations at PR and plan time, before they reach production. Use OPA/Rego, Checkov, tfsec, or equivalent — and calibrate gates to stop bad patterns without creating friction that causes teams to route around them.

• Multi-Cloud Baseline Define, document, and enforce a consistent security baseline across AWS, Azure, and GCP — covering IAM, networking, KMS/encryption, and logging. Own the documentation that supports enterprise customer security reviews and audit evidence requests.

• Kubernetes & Container Security Harden clusters, images, and admission paths across EKS, AKS, and GKE. Set and enforce RBAC policies, admission controls, and image scanning standards.

• Remediation Leadership Drive fixes through engineering teams you don't have direct authority over. Track SLAs, communicate risk clearly to technical and non-technical stakeholders, and escrow when needed — without creating noise.

• Shift-Left Guardrails Grow the share of cloud infrastructure managed via Terraform with active security checks, quarter over quarter. Trend new critical misconfigurations reaching production to zero.

Must Have

• 4–6 years in cloud security or platform/infrastructure security.

• Expert depth in at least one major cloud provider (AWS, Azure, or GCP): IAM, networking, KMS/encryption, and logging.

• Hands-on experience with a CNAPP/CSPM — Wiz strongly preferred — including triage, prioritization, and driving remediation with engineering teams.

• Terraform in production plus policy-as-code experience (OPA/Rego, Checkov, tfsec, or similar) integrated in CI/CD.

• Kubernetes security fundamentals: RBAC, admission control, and image scanning.

• Scripting proficiency in Python or Go.

• English B2+ (professional working proficiency).

Nice to Have

• Working experience across 2+ cloud providers — we deploy on AWS, Azure, and GCP.

• Cross-cloud and Kubernetes certifications: CCSK, CKA, CKS, AWS Security Specialty, or equivalent.

• EKS/AKS/GKE hardening and container runtime security experience.

• TypeScript or Go beyond scripting.

• SIEM/detection exposure — we run RunReveal.

• SOC 2 / ISO 27001 cloud control evidence experience.

Why join us?

• Join a world-class team of engineers and builders.

• Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo.

• Have ownership and autonomy of projects and are encouraged to ship.

• Comprehensive Benefits including healthcare, dental, vision coverage.

• Competitive salary + equity in a high-growth startup.

Our Operating Principles

Extreme Ownership

We take full responsibility for our work and outcomes. No excuses, no blame-shifting. If something needs fixing, we own it.

Craftsmanship

We sweat the details because details compound. We never settle for "just fine" — whether it's a scoping document, a prototype demo, or a customer conversation.

We are "Majos"

Be a good human. Friendly, genuine, kind. We're building something ambitious and it's better when we enjoy it together.

Urgency with Focus

Move fast, but in the right direction. Prioritize ruthlessly. Act decisively. Aim for the highest leverage action.

Talent Density and Meritocracy

Every hire raises the bar. Ability over seniority. Ownership goes to those who earn it.

First-Principles Thinking

Strip problems to their fundamentals, ignore industry dogma, and rebuild from scratch when needed. It's how we build what others think is impossible.

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through [e-mail] subject to the GDPR.

For more information, visit https://www.happyrobot.ai/privacy-policy

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.