Staff Cyber Security Engineer
Role details
Job location
Tech stack
Job description
We are looking for a hands-on Staff Cyber Security Engineer to join our InfoSec team and help secure our growing platform and products.
This role requires an engineer who can bridge the gap between development teams and security governance, ensuring we maintain a high standard of security, operational resilience, and regulatory compliance as we scale.
You will be instrumental in the execution of our security strategy, directly contributing to our Application Security programme, advancing our DevSecOps capabilities, and supporting key Governance, Risk, and Compliance (GRC) activities.
What you'll be doing
This is a hybrid role covering both technical security implementation and critical compliance/risk management support:
Application Security & DevSecOps
- Secure Development: Work directly with engineering teams to embed security best practices throughout the SDLC.
- Automation: Implement, maintain, and tune DevSecOps tools and pipelines (SAST, DAST, SCA) to automatically identify and remediate security flaws in code and infrastructure.
- Threat Modelling: Conduct and facilitate threat modelling sessions for new features and systems to proactively identify design-level risks.
- Vulnerability Management: Triage, validate, and track vulnerabilities identified across applications and infrastructure, driving efficient remediation efforts.
- Security Architecture: Provide technical advice on the secure design and configuration of our cloud environment (AWS/GCP) and associated technologies (Kubernetes, GitOps, Snowflake, Vault).
Governance, Risk, & Compliance (GRC)
- Vendor Security Reviews: Execute vendor security assessments and due diligence reviews for new and existing third-party suppliers, maintaining required documentation for the Vendor Governance Forum.
- Audit Support: Assist the team in achieving and maintaining compliance with key regulatory and industry frameworks, including GDPR, ISO 27001, SOC2, and PCI DSS, by gathering evidence and documenting controls.
- Policy & Standards: Help translate high-level security policies into practical, actionable security standards and control requirements for engineering teams.
- Risk Reporting: Document and track identified risks from AppSec, vendor reviews, and operations, ensuring they are accurately captured and reported.
- Security Training: Support the delivery of security awareness and training programs tailored for technical and non-technical staff.
Requirements
Do you have experience in Terraform?, * Proven, senior experience as a Cyber Security Engineer or similar role
- Hands-on experience implementing and managing security tooling within CI/CD pipelines
- Familiarity with modern cloud environments (AWS, GCP, or Azure) and container orchestration technologies (e.g., Kubernetes)
- Practical experience in conducting vendor security assessments and performing technical due diligence on third parties
- Good working knowledge of common security frameworks and regulations (e.g., ISO 27001, SOC2, PCI DSS), with experience supporting audit processes
- A strong understanding of common web application vulnerabilities and effective mitigation strategies
- Awareness or practical experience with AI-powered security tooling (e.g., AI-driven monitoring, generative AI for code review, or AI defense mechanisms)
- Excellent communication skills, capable of explaining complex security concepts to both technical and non-technical audiences
Desirable
- Relevant certifications (e.g., OSCP, CISSP, CSSLP, AWS Security Specialty)
- Experience with Engineering and Automation tooling (e.g., Terraform, CloudFormation, GitHub, Python)
Benefits & conditions
- Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
- Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
- Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting