Job Description
Key Skills Required
Master these to land this role
Want to know if you're a match for this job?
About the Role
Selling 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
Why Join Nexxa.ai?
Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies
Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement
Professional Growth: Benefit from significant opportunities for career development and advancement
Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions
If you're passionate about building the security and compliance backbone for advanced AI solutions in the real world, we'd love to connect.
How would you rate this job post?
See what other professionals think about this role.
Similar Opportunities
More Openings at Nexxa
Explore Top Companies in this Space
Sourcegraph
Enterprise Software / Artificial Intelligence / Technology
Makai Labs
Artificial Intelligence / Enterprise Automation / Software
Gather AI
Logistics / Supply Chain Management / Artificial Intelligence / Enterprise Software
Duvo AI
Artificial Intelligence / Process Automation / Enterprise Software / SaaS
Nexxa
View Company ProfileNexxa is a cutting-edge artificial intelligence startup focused on building next-generation workflow automation and intelligent data processing solutions for modern enterprises. Operating at the forefront of the generative AI revolution, the company provides a robust, cloud-native platform that integrates seamlessly with existing corporate tech stacks. Under the hood, Nexxa leverages advanced large language models (LLMs) and custom machine learning algorithms to automate complex, unstructured data tasks—transforming chaotic, raw information into highly structured, actionable business insights. Their primary target audience includes revenue operations teams, data analysts, and enterprise executives who need to supercharge their productivity without dramatically expanding their manual workforce. What sets Nexxa apart in the crowded AI SaaS landscape is its hyper-focus on seamless deployment and rapid time-to-value, allowing businesses to deploy bespoke AI agents that intelligently adapt to highly specific, industry-regulated workflows.
Safety First
- Never pay for a job application.
- Do not share sensitive bank info.
- Verify the client before starting work.

