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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in security engineering with a focus on AI/ML security, including identity and access management, policy-as-code implementation, and threat modeling. Proficient in integrating security tools and automating workflows to enhance security posture across cloud and enterprise environments.
Highest-signal resume keywords
AI/ML Security ExpertiseIdentity And Access ManagementPolicy-As-Code ImplementationCloud Security ExpertiseThreat Modeling Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Security EngineeringAI Tools ExperienceInfrastructure As CodeScripting Language ProficiencyApplication Security KnowledgeThreat ModelingAutomation SkillsVulnerability ScanningSecurity Control ImplementationAI Agent Development
Tools & Technologies
TerraformOPA/RegoSIEMCSPMSASTDASTLLM FrameworksChatGPTCopilotClaude
Certifications & Qualifications
AWS Solutions ArchitectSecurity SpecialtySOC 2ISO 27001
Industry Keywords
Policy-As-CodeCloud SecurityIdentity And Access ControlsAI SystemsAdversarial InputsPrompt InjectionResidual RisksPreventive GuardrailsSecure SDLCMulti-Account Governance
Tech Stack
Tools & technologiesAWSCloudPythonSDLCTerraform
About the role
Key responsibilities & impact- Bridge architectural intent and operational reality by resolving conflicts between security requirements and feasible implementation
- Propose compensating controls and help register, track, and remediate residual risks
- Implement preventive, default-on security controls across cloud and enterprise environments
- Codify security controls as policy-as-code and infrastructure-as-code, including controls governing AI tools and models
- Implement and enforce identity and access controls, including boundaries for AI systems and non-human or agent identities
- Partner with Platform Engineering and IT to align tooling and policy with architecture
- Maintain the InfoSec risk register and translate emerging threats into actionable guidance for engineering teams
- Support third-party and vendor risk assessments, especially for vendors processing data through AI pipelines
- Automate security workflows such as evidence collection, access reviews, and alert enrichment
- Build or operate AI-assisted security agents with human-in-the-loop approval gates and least-privilege credentials
- Integrate SIEM, CSPM, DAST/SAST, and vulnerability scanners with LLM layers
- Define and enforce security requirements for AI-powered features, including model access controls, prompt-injection mitigations, output validation, and data-handling boundaries
- Conduct threat modelling on agentic and LLM-based systems
- Collaborate with Platform Engineering, IT, Security Champions, and external auditors
Requirements
What you’ll need- 5+ years of security engineering experience with demonstrated AI/ML security depth, including prompt injection, model supply chain, adversarial inputs, and RAG
- Experience using AI tools such as ChatGPT, Copilot, and Claude
- Experience with LLM frameworks and APIs such as OpenAI, Anthropic, LangChain, or similar
- Hands-on identity and access expertise across modern enterprise and cloud identity stacks, including AI systems and non-human identities
- Experience with infrastructure and policy-as-code, such as Terraform and OPA/Rego
- Proficiency in a scripting language for automation; Python preferred
- Cloud security expertise, including AWS Solutions Architect / Security Specialty or equivalent demonstrated expertise, multi-account governance, preventive guardrails, and policy-as-code
- Application security knowledge, including OWASP Top 10, OWASP LLM/GenAI Top 10, and secure SDLC
- Knowledge of threat-modelling methodologies such as STRIDE or PASTA
- Practical experience building or operating AI agents
- Experience integrating SIEM, CSPM, SAST/DAST/SCA tooling to surface actionable information
- Working knowledge of SOC 2 and/or ISO 27001 control frameworks
- Up to 10% travel required
Benefits
Comp & perks- Discretionary bonus of 12% of annual base salary
- Medical, dental and vision benefits with affordable health care plans and company HSA contributions, starting on Day 1
- 6% 401(k) match
- 20 days of Paid Time Off
- 9 Company-Paid holidays
- 2 paid floating holidays
- 7 paid sick days
- 2 Wellness days
- 1 Paid Volunteer Day
- PTO increases to 22 days at 3 years of service and 25 days at 5 years
- 12 weeks primary caregiver leave
- 4 weeks secondary caregiver leave
- Accident, critical illness, and hospital indemnity insurance
- Pet insurance
- Legal assistance and identity theft insurance plans
- Life insurance of 2x salary
- Calm app access
- Employee Assistance Program
- $65/month remote work stipend for internet
- Culture and team-building activities
- Tuition assistance
- Career development opportunities
- Charitable contribution match up to $250 per year
- Remote-first working conditions
- Industry-competitive compensation and total rewards benefits
