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Encord

AI-native data infrastructure for Physical AI

Senior Cloud Security Engineer

Security Engineering & ArchitecturePosted on Nov 12
Full-timeLondon, UK

About the Job

Requirements

  • Typically bring 5+ years of platform engineering experience in high-growth, cloud-native SaaS environments; impact is weighted more heavily than years.
  • Have a product, infrastructure, or network engineering background and depth in cloud security.
  • Have deep knowledge of Google Cloud Platform, including Identity and Access Management, Virtual Private Cloud and networking, firewall and perimeter controls, Key Management Service, secrets management, logging and monitoring, and organization-level policy.
  • Understand cloud-native architectures and their trade-offs.
  • Understand network segmentation, private connectivity, zero-trust patterns, Transport Layer Security and mutual TLS, and securing traffic between services and to the outside world.
  • Be able to design reliable infrastructure and write clean production code.
  • Have built and maintained continuous integration and continuous delivery pipelines, infrastructure as code using Terraform, and security gates at scale.
  • Understand that infrastructure and security serve the product and business, and make trade-offs accordingly.

Responsibilities

  • Help harden systems and protect customer data against exploits and supply-chain attacks.
  • Help attain and maintain higher levels of compliance certification as the company scales into industries with diverse security and regulatory requirements.
  • Evolve infrastructure to defend against new threats.
  • Deliver on compliance goals and successfully handle audits.
  • Own problems end-to-end, from brainstorming through production.
  • Automate toil, improve feedback loops, and help make engineers and other colleagues more productive.
  • Iterate quickly, ship pragmatically, and automate work.

Desired Qualifications

  • Experience securing other cloud providers such as Amazon Web Services or Microsoft Azure, or on-premises and hybrid environments.
  • ISC2 certification at any level or a relevant cloud security certification, such as Google Cloud Professional Cloud Security Engineer.
  • Experience with SaaS compliance programs such as ISO 27001, SOC 2 Type II, or HIPAA.
  • Open-source contributions to security, infrastructure, or developer-tooling projects.

About the Company

Encord

AI-native data infrastructure for Physical AI

Encord provides an AI-native data infrastructure platform for Physical AI, helping enterprises manage multimodal data for robotics, autonomous systems, and related applications. It offers Encord Annotate for collaborative multimodal annotation, Encord Active for data curation and quality evaluation, and Encord Index for petabyte-scale dataset search and management, covering the full data lifecycle from collection to deployment. The platform acts as a universal data layer for production-grade Physical AI, addressing the infrastructure gap left by cloud-era tools focused on text and tabular data and emphasizing multimodal data and embodied AI. Its goal is to enable teams to build, evaluate, and deploy real-world AI systems more efficiently with scalable, reliable data tooling.

Company size
201-500
Company stage
Series C
Total funding
$107.1M
Headquarters
London, United Kingdom
Founded
2020

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