Role in brief
Gauntlet is seeking a Senior Security Engineer to enhance the security of its DeFi systems, which manage over $1.5 billion in assets. This role involves building and scaling security programs, operating application security toolchains, and automating tasks with AI. Candidates with expertise in product security, security operations, and AI tools, who can work remotely in the US or Canada, should apply.
About the role
This role focuses on strengthening the security posture of Gauntlet's DeFi platforms. The engineer will be responsible for threat modeling new features, hardening systems with effective controls, and evolving the application security toolchain. This includes managing SAST, dependency checks, and secrets scanning to ensure tools remain high-signal for developers.
A key part of the position involves day-to-day security operations, covering detection stacks like EDR, SIEM, and on-chain monitoring. The engineer will triage security incidents, resolve critical issues, and reduce operational noise. This also includes handling vulnerability and bug-bounty findings, driving remediation efforts, and supporting incident response.
The role emphasizes leveraging AI and LLMs to automate security workflows, such as vulnerability management, access reviews, and audit evidence collection. The successful candidate will build reusable AI components and agents for broader adoption within engineering and other functions, taking security projects from evaluation to organization-wide rollout.
The annual salary for this position ranges from $180,000 to $210,000.
Skills that matter here
- Python: Proficiency in Python is required for developing security tools and automating tasks, particularly with AI and LLMs.
- TypeScript: Familiarity with TypeScript is necessary for working with the company's codebase and integrating security solutions.
- JavaScript: Experience with JavaScript is expected for developing and integrating security components within the existing tech stack.
- AI: This role requires hands-on experience applying AI to automate security workflows and build reusable tooling.
- LLMs: Experience with LLMs is crucial for automating security tasks, including vulnerability management and compliance evidence collection.
Who this role suits
- You have a background in both product/application security and security operations, with at least five years of hands-on experience.
- You possess an adversarial mindset, consistently thinking like an attacker to identify and pressure-test system vulnerabilities.
- You have a track record of owning security projects from inception to organization-wide rollout, collaborating across various teams.
- You are an effective communicator who can clearly explain complex risks and drive security findings to resolution.
From the employer
- Threat model new product features and integrations and harden systems with effective controls.
- Operate and evolve the application security toolchain (SAST, dependency and supply-chain checks, secrets scanning) and keep it high-signal for developers.
- Own day-to-day security operations across the detection stack (EDR, SIEM, on-chain monitoring, identity, cloud): triage what fires, resolve what matters, and reduce noise.
- Triage vulnerability and bug-bounty findings by real exposure, drive remediation, and support incident response end to end.
- Take security tooling and projects from evaluation through org-wide rollout, collaborating across engineering, infra and other teams.
- Automate repetitive, judgment-light security work with AI: vulnerability and AppSec workflows, access reviews, SOC 2 and audit evidence collection, vendor due diligence, and recurring reporting.
- Build reusable AI components, Claude skills, and agents that engineering and other functions can adopt.
- 5+ years in hands-on security engineering spanning product or application security and security operations.
- Track record of technical security assessments of software and systems, including system hardening, security policy analysis and implementing effective controls.
- An adversarial mindset: you think like an attacker and pressure-test assumptions, including your own.
- Proficiency in Python, TypeScript, or JavaScript, working with Claude Code, Codex or similar AI tools.
- Hands-on experience applying AI and LLMs to automation and building reusable tooling or components that other engineers adopted.
- Experience owning security projects end to end, from vendor selection through org-wide rollout, across multiple teams.
- Experience securing high-value or high-throughput transaction systems.
- Clear communication: you explain risk plainly and drive findings to closure.
- Remote first - work from anywhere in the US & CAN!
- Regular in-person company retreats and cross-country "office visit" perk
- 100% paid medical, dental and vision premiums for employees
- $1,000 WFH stipend
- Monthly reimbursement for home internet, phone, and cellular data
- Unlimited vacation
- 100% paid parental leave of 12 weeks
- Fertility benefits
- Opportunity for incentive compensation
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
Questions about this role
What is the remote work policy for this position?
This is a remote-first position, and candidates must be able to work within the contiguous United States and Canada.
What level of seniority is expected for this role?
This is a senior-level position, requiring at least 5 years of hands-on experience in security engineering.
What are the core technical skills required for this role?
The role requires proficiency in Python, TypeScript, or JavaScript, along with hands-on experience applying AI and LLMs to security automation.