About the RoleSelling autonomous systems into manufacturing, infrastructure, and logistics means our customers audit us before they trust us - security and compliance are a precondition for deploying our platform, not a function beside it.
We hold SOC 2 Type 2 and ISO 27001, and we're moving toward more certifications because governing autonomous industrial systems responsibly is a commercial requirement in our market. You'll own our certification programs and the security and infrastructure underneath them - across our multi-account AWS organization, GCP footprint, and internal engineering platform. This role covers our own corporate and cloud environments, not customer plant-floor or control-system security.
This role is ideal for candidates who want real, ongoing ownership of a security function, including standing up and running one of the industry's first AI management systems, at a company where trust and compliance directly determine whether customers deploy the platform at all.
What You'll Do- Own the compliance calendar across SOC 2 Type 2 and ISO 27001 - evidence collection, access and vendor reviews, control monitoring, internal audit, management review, policy refresh, and audit readiness
- Triage security findings across cloud posture, code scanning, dependencies, and secrets, and drive remediation to closure
- Remediate what you triage directly in infrastructure as code, IAM policy, and pipeline configuration
- Administer identity and access across cloud and SaaS, including SSO/federation, least-privilege roles, and the joiner/mover/leaver lifecycle
- Support internal IT operations - endpoint fleet and device compliance, SaaS and license administration, asset inventory, support requests - while keeping the human cost of them flat as the company grows
- Serve as the working interface to external auditors, our certification body, and customer security and procurement reviews
- Build controls into infrastructure so they hold automatically, replacing manual verification with guardrails that fail closed
- Harden CI/CD and the software supply chain - build identity, artifact provenance, dependency and secret hygiene
- Debug production issues across cloud infrastructure, containers, and networking, and write the postmortem that keeps the fix from being forgotten
- Produce documentation others rely on: runbooks, control narratives, architecture notes, postmortems
Required Qualifications- Professional experience in security engineering, infrastructure/platform engineering, or a closely related technical role - broad competence across security, networking, and operating systems, with real depth in at least one
- Deep hands-on experience with:
- Security fundamentals - trust boundaries and blast radius, authentication vs. authorization, least privilege, secrets handling, and judging real-world exploitability of findings
- Networking - diagnosing connectivity issues across routing, firewalls/security groups, DNS, TLS termination, and proxies; comfortable with VPN/private connectivity and packet captures
- Linux operating systems - processes, filesystems, permissions, systemd, resource limits, log analysis, and how containers relate to the host
- Cloud infrastructure - hands-on with AWS or GCP beyond the console: IAM, networking, compute, and their failure modes
- Strong scripting/automation skills (Python, Bash, Go, or similar) - recurring manual work gets scripted away, not tracked by hand
- Strong writing ability: control narratives, runbooks, postmortems, audit responses, risk assessments
- Proven judgment under ambiguity - able to rank findings honestly and defend the ranking
- CS/CE degree or equivalent hands-on experience
Preferred Qualifications- Hands-on ISO 27001 experience - operating an ISMS, recertification, surveillance audits, internal audit programmes, Statement of Applicability, risk treatment
- SOC 2 experience in practice - producing evidence, answering auditor requests, remediating findings against a real deadline
- Any exposure to AI governance or ISO 42001 - AI risk assessment, model inventory, AI lifecycle controls, the EU AI Act
- Infrastructure as code at scale (Pulumi primarily, Terraform secondarily - deep Terraform experience transfers fine)
- Multi-account cloud organization experience: landing zones, org-level policy guardrails, centralized logging, cross-account access patterns
- Identity provider and endpoint management at scale (Google Workspace or Microsoft 365, SSO/SAML/OIDC, MDM and device compliance tooling)
- Cloud security tooling experience (CSPM, SAST/SCA, vulnerability management platforms), including their false-positive rates
- Container orchestration on ECS, EKS, or Kubernetes
- Observability: metrics, logs, traces, and the judgment to instrument what will matter later
- Experience across both AWS and GCP, including workload identity federation
- Cloud cost awareness - you notice when spend and value diverge
- Startup or high-growth experience building process rather than following one
What Success Looks Like- You can own ambiguous, high-stakes security and compliance problems end-to-end
- Controls you build hold automatically as the company scales - you design for guardrails that fail closed, not recurring manual verification
- You bring strong technical judgment on tradeoffs between security rigor, velocity, and cost
- You raise the bar for security rigor and operational discipline across the team
- You help define what's next for the security program, not just execute what's known
If you're passionate about building the security and compliance backbone for advanced AI solutions in the real world, we'd love to connect.
