Senior DevSecOps Engineer

• Collaborate with stakeholders to pinpoint security enhancements across platform architecture and infrastructure, devising and executing strategic plans for implementation
• Work closely with the Platform team to embed robust security processes, controls, and tooling across all system components
• Threat model new and existing systems — including AI/LLM-enabled features and agentic workflows — and translate findings into prioritised, actionable work
• Strengthen our software supply chain: dependency and base-image hygiene, SBOM generation, artefact signing and provenance, and the pinning of third-party actions and packages
• Secure the use of AI across the SDLC, ensuring agentic coding tools, assistants, and MCP integrations operate within safe, well-scoped, and auditable boundaries
• Contribute to the evolution of deployment frameworks, emphasising security, deployment speed, and system stability
• Elevate platform security through strong secrets management and the safe handling of sensitive information
• Play an active role in incident response, resolution, and blameless post-mortems, facilitating continuous improvement
• Participate in knowledge-sharing initiatives, including tech-talks and team-based learning sessions
• Maintain meticulous, current documentation — playbooks, runbooks, and comprehensive systems documentation — to facilitate knowledge dissemination

• Extensive experience in cyber security and associated engineering practices
• Vulnerability management and remediation at scale
• Proven track record in DevOps / DevSecOps engineering within large-scale platforms
• Proficiency in distributed cloud systems, particularly Amazon Web Services
• Expertise in Infrastructure as Code (IaC) tooling such as Terraform and CloudFormation
• Experience with languages such as PHP, Bash, or Python
• Experience with Docker and containerisation, with a working understanding of container and runtime security
• Software supply-chain security: SBOMs, dependency scanning, and artefact signing / provenance (e.g. SLSA, Sigstore)
• Secrets management and detection (e.g. Vault, cloud-native secret stores, secret-scanning in CI)
• Security tooling across the SDLC: SAST, DAST, SCA, IaC scanning, and container scanning (e.g. Snyk, Trivy)
• Policy-as-code and guardrails (e.g. OPA / Conftest), with an identity-centric / zero-trust approach to access
• Familiarity with monitoring and detection tooling like DataDog, Prometheus, or similar platforms
• A proactive problem-solving attitude coupled with strong teamwork and communication skills
• Exceptional proficiency in written and spoken English to effectively articulate ideas and concepts

• Practical understanding of AI/LLM security risks and their mitigations — e.g. prompt injection, jailbreaks, insecure output handling, sensitive-data leakage, and excessive agency (aligned to the OWASP Top 10 for LLM Applications)
• Experience securing AI-assisted and agentic development tooling: scoping permissions, sandboxing, logging and audit, and preventing secret or data exfiltration through AI agents and MCP servers
• Familiarity with AI threat modelling and adversarial techniques (e.g. MITRE ATLAS) and with conducting or supporting AI-aware red teaming
• Awareness of AI governance and assurance frameworks (e.g. NIST AI RMF, ISO/IEC 42001) and how they intersect with data-protection obligations for a multi-tenant platform handling children's data
• Confident, responsible use of AI tooling to accelerate security work — triage, detection engineering, code review, and documentation — while understanding and accounting for its limitations

• Past experience with enterprise solutions running at scale
• Familiarity with kanban and agile development processes
• Familiarity with software best practices such as Refactoring, Clean Code, Domain-Driven Design, Test-Driven Development, etc.
• Experience with compliance frameworks relevant to EdTech (e.g. NIST CSF, ISO 27001, SOC 2, UK GDPR)
• Relevant certifications (e.g. AWS Security Specialty, OSCP, or AI security / governance credentials)

1. Phone screen
2. 1st stage
3. 2nd stage

We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at careers@arbor-education.com.

Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. 

Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively  encourage applications from people of all backgrounds. 

Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: careers@arbor-education.com 

Please note: We are unable to provide visa sponsorship at this time.