
1 - 10 employees
Founded 2025
đź Consulting
đŁ Marketing
đ¤ Artificial Intelligence
Consulting ⢠Marketing ⢠Artificial Intelligence
Keycard Labs is a company that specializes in creating a unified identity infrastructure for agents, tools, and applications. They provide solutions that enhance agent security and control through dynamic, task-scoped access tokens, allowing developers to build trusted AI experiences while ensuring compliance and visibility. With a focus on eliminating secret sprawl, Keycard Labs enables organizations to delegate access securely and efficiently, supporting the development of autonomous agents in a compliant manner.
đĽ 2 minutes ago
đ United States, Canada â Remote
â° Full Time
đĄ Mid-level
đ Senior
đŽââď¸ Cybersecurity / Security Engineer
đť Ghost score 17%
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1 - 10 employees
Founded 2025
đź Consulting
đŁ Marketing
đ¤ Artificial Intelligence
Consulting ⢠Marketing ⢠Artificial Intelligence
Keycard Labs is a company that specializes in creating a unified identity infrastructure for agents, tools, and applications. They provide solutions that enhance agent security and control through dynamic, task-scoped access tokens, allowing developers to build trusted AI experiences while ensuring compliance and visibility. With a focus on eliminating secret sprawl, Keycard Labs enables organizations to delegate access securely and efficiently, supporting the development of autonomous agents in a compliant manner.
⢠Write, review, and maintain production code in the token service, policy engine, and gateway ⢠Threat-model agent access through token exchange, delegation, per-tool checks, and the MCP gateway ⢠Investigate confused deputies, poisoned tool descriptions, prompt injection, issuer and audience mix-ups, and token passthrough ⢠Ensure credentials do not leak between hops and delegated access ends when expired or revoked ⢠Analyze the capabilities of compromised agents and prevent privilege escalation or cross-tenant access ⢠Review designs and code across the token service, Cedar policy engine, MCP gateway, CLI, SDKs, and Console ⢠Run scoped agents against isolated instances and investigate authorization failures ⢠Convert confirmed failures into CI regressions for token exchange, impersonation, and per-tool policy ⢠Serve as technical voice during customer security reviews and pentests ⢠Establish cloud guardrails for cloud accounts, pipelines, and customer-hosted cells ⢠Design service identity and PKI, sign customer-shipped software, and manage dependency risk ⢠Keep internal credentials short-lived and narrowly scoped ⢠Investigate vulnerabilities and security events, coordinate fixes, improve detection, and define security on-call processes ⢠Map trust boundaries and priority delegation flows during the first month ⢠Ship prioritized fixes with CI regressions ⢠Build customer-review evidence and pentest-finding triage processes ⢠Own the risk register and create a product and company security roadmap with owners and incident roles by day 90
⢠Staff-level software engineering experience ⢠Production code shipping and maintenance experience ⢠Experience finding and fixing vulnerabilities in applications or identity systems ⢠Ability to read unfamiliar code, build exploits or reproductions, and ship fixes with regression tests ⢠Knowledge of OAuth 2.0 and 2.1, OIDC, and token exchange (RFC 8693) ⢠Ability to identify issues in IAM policies, network paths, and cloud audit logs ⢠Good judgment about risk and ability to explain and size attack paths and agree on fixes ⢠Experience using agents for review, triage, or testing, with ability to check their output and limit access ⢠Experience in identity infrastructure, developer tools, or multi-tenant SaaS is advantageous ⢠Experience with DPoP, Cedar, or SPIFFE/SPIRE is advantageous ⢠Hands-on AWS security experience with IAM, SCPs, logging, and infrastructure as code is advantageous ⢠Experience securing agents or MCP servers, including tool permissions and sandboxing, is advantageous ⢠Experience building security tools adopted by engineers is advantageous ⢠Public security work such as CVEs, bug bounties, write-ups, or OAuth and MCP standards work is advantageous ⢠Ability to work in the United States or Canada, based on the required authorization question
⢠Generous equity package with 4-year vest and 1-year cliff ⢠Health, dental, vision, and paramedical coverage for you and your family ⢠4 weeks vacation ⢠11 statutory holidays ⢠1 volunteer day annually ⢠Encouragement to take at least 2 weeks off each year to recharge ⢠New MacBook Pro ⢠$500 stipend for peripherals ⢠Best AI tools available ⢠Remote-first flexibility ⢠Asynchronous collaboration ⢠Huge autonomy and opportunity to gain mastery ⢠Global team accountability and agent-native work environment
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