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Encord

AI-native data infrastructure for Physical AI

Lead Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Around 7–8 years of hands-on security experience, with a strong focus on organisation security.
  • Experience rolling out or re-architecting single sign-on, multi-factor authentication, and conditional access across a company.
  • Experience deploying and managing mobile device management and endpoint detection and response across a macOS fleet.
  • A track record of building automated joiner/mover/leaver flows and user access reviews.
  • Experience running SaaS security, including discovering shadow IT, reviewing app permissions, and assessing new tools before adoption.
  • Experience putting guardrails around AI tool usage, such as approved tool lists, data handling rules, and vendor reviews of AI providers.
  • Ownership of, or significant contribution to, ISO 27001 and/or SOC 2 audits, including policies, control evidence, and auditor walkthroughs.
  • Experience defending against targeted phishing (whaling) and business email compromise, such as fake CEO payment requests, invoice fraud, and gift card scams.
  • Experience leading or supporting security incidents such as phishing compromises, account takeovers, or lost devices.
  • Experience running third-party and vendor risk assessments and advising on the security of new tools before they're adopted.
  • Experience partnering with DevOps/Platform teams to secure cloud environments, ideally Google Cloud Platform, including identity and access management, network segmentation, secrets management, logging, and cloud security posture management.
  • A habit of writing policies and runbooks that people can easily follow.
  • A thoughtful approach to change, including rolling out new controls with clear communication, phased approaches, and a focus on keeping the employee experience smooth.

Responsibilities

  • Own identity and access across Encord, including single sign-on, multi-factor authentication, conditional access, and automated joiner/mover/leaver processes.
  • Manage device security, keeping the macOS fleet protected through mobile device management and endpoint detection and response.
  • Run SaaS and AI security by discovering shadow IT, reviewing app permissions, assessing new tools before adoption, and setting sensible guardrails for AI tool use.
  • Protect executives and high-risk users from targeted phishing, impersonation, business email compromise, and AI-enabled fraud such as deepfakes.
  • Act as the technical owner of ISO 27001 and SOC 2 controls, from policies and evidence through auditor walkthroughs.
  • Lead third-party and vendor risk assessments.
  • Respond to and lead security incidents, and continuously improve detection and incident handling.
  • Partner with DevOps and Platform to secure the cloud environment.
  • Write clear policies and runbooks, and roll out changes in a way that keeps the employee experience smooth.

Desired Qualifications

  • Experience with infrastructure as code, such as Terraform.
  • Experience owning vulnerability management across infrastructure, including scanning, prioritisation, remediation tracking, and service-level agreements.
  • Experience building and improving detection and monitoring, centralising logs into a security information and event management system, and defining meaningful alerts.
  • Experience implementing and tuning static application security testing, dynamic application security testing, software composition analysis, and secrets scanning in continuous integration and continuous delivery pipelines.
  • Experience coordinating external penetration tests and bug reports, and driving fixes to closure with engineering teams.
  • Experience helping engineers write secure code through guidance, patterns, and lightweight training.
  • Experience supporting sales and customer trust by answering security questionnaires and joining customer security calls.
  • Familiarity with executive digital protection, such as open-source intelligence footprint reviews, impersonation monitoring, and out-of-band verification for sensitive requests.

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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