Jobs
Cybersecurity Engineer
Cybersecurity Engineer
Location: Remote (US) · New York, NY
Employment Type: Full-Time
Department: Security
Salary: $130,000–$190,000 USD + Equity
About LockedIn AI
LockedIn AI is the leading real-time AI interview and meeting copilot trusted by more than 1 million users worldwide. Our platform helps professionals succeed in interviews, coding assessments, and business meetings through advanced AI-powered assistance. As we continue to grow, security remains fundamental to protecting our users, AI systems, and cloud infrastructure.
About the Role
LockedIn AI is seeking a highly skilled Cybersecurity Engineer to build, strengthen, and scale the security systems that protect our platform, infrastructure, applications, and user data. This is a hands-on engineering role where you will work across cloud environments, AI systems, APIs, and production infrastructure to ensure security is embedded throughout the organization.
You will play a critical role in designing security architectures, identifying vulnerabilities, responding to threats, and implementing proactive defenses that safeguard a platform trusted by over one million users.
Key Responsibilities
Security Engineering & Architecture
- Design and implement security solutions across cloud infrastructure, applications, APIs, and AI systems.
- Develop security architectures based on zero-trust and defense-in-depth principles.
- Implement identity and access management controls, authentication systems, and privileged access policies.
- Strengthen network security, segmentation, and infrastructure hardening initiatives.
Vulnerability Management & Application Security
- Conduct vulnerability assessments and penetration testing across applications and cloud environments.
- Manage vulnerability remediation processes and security risk prioritization.
- Perform application security reviews and API security assessments.
- Collaborate with engineering teams to address security findings and improve secure coding practices.
Cloud & Infrastructure Security
- Secure AWS, GCP, or Azure environments using industry best practices.
- Implement container and Kubernetes security controls.
- Manage secrets, certificates, encryption, and key management systems.
- Deploy and maintain cloud security monitoring and compliance solutions.
Detection & Incident Response
- Build and maintain SIEM monitoring, detection rules, and alerting systems.
- Investigate security incidents and coordinate response activities.
- Develop incident response playbooks and security automation workflows.
- Improve threat detection capabilities and security visibility across the organization.
AI Security
- Secure AI infrastructure, model-serving endpoints, vector databases, and training data pipelines.
- Assess AI-specific threats including prompt injection, model extraction, adversarial attacks, and data leakage risks.
- Implement security controls protecting AI assets and inference systems.
- Monitor AI environments for unusual behavior and emerging threats.
Requirements
Experience
- 3+ years of cybersecurity engineering, application security, or infrastructure security experience.
- Experience securing cloud-native environments and modern applications.
- Hands-on experience with incident response, vulnerability management, and security monitoring.
- Ability to work effectively across engineering, product, and operations teams.
Education
- Bachelor's degree in Computer Science, Cybersecurity, Information Security, or a related field.
- Security certifications such as CISSP, OSCP, CEH, Security+, AWS Security Specialty, or equivalent are a plus.
Technical Skills
- Strong proficiency in Python, Bash, Go, or similar languages.
- Deep understanding of AWS, GCP, or Azure security services and architecture.
- Experience securing Docker and Kubernetes environments.
- Knowledge of SIEM platforms, vulnerability scanners, and security testing tools.
- Experience with IAM, secrets management, encryption technologies, and PKI.
- Familiarity with security frameworks including SOC 2, ISO 27001, NIST, GDPR, and CCPA.
Preferred Qualifications
- Experience securing AI and machine learning systems.
- Knowledge of DevSecOps and secure software development practices.
- Experience with penetration testing, red teaming, or adversarial simulations.
- Familiarity with AI security frameworks and emerging AI security risks.
- Startup or high-growth technology company experience.
Compensation
Salary Range: $130,000–$190,000 USD annually, depending on experience, skills, and location.
What We Offer
- Competitive compensation and meaningful equity
- Remote-first work environment
- Opportunity to secure products used by over 1 million users
- Exposure to cutting-edge AI technologies and infrastructure
- Fast-moving startup culture with significant ownership
- Strong career growth and leadership opportunities
Why Join LockedIn AI?
At LockedIn AI, security is a core part of our product and user experience. You'll have the opportunity to build and operate security systems that protect millions of users while working at the intersection of cybersecurity and artificial intelligence. Your work will directly influence how we secure the next generation of AI-powered products.
How to Apply
Please submit:
- Resume or CV
- Brief note explaining why you're interested in LockedIn AI
- Relevant security projects, GitHub repositories, technical writing, or portfolio work (optional)
LockedIn AI is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences.
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