Lead Application Security Engineer

Xcede • United States

Remote Visa Sponsorship

This Job is No Longer Active This position is no longer accepting applications

AI Summary

First dedicated security hire to define and build application security from the ground up for a venture-backed Data & AI infrastructure company. Own end-to-end security as engineering scales from 70 to 140+ engineers. Must be comfortable reading application code, threat modeling distributed systems, and shipping production fixes.

Key Highlights

First security hire with end-to-end ownership of application security

Multi-tenant isolation for platform handling ~1M data syncs per day

Security architecture, threat modeling, and product hardening

Securing multi-region, multi-cloud architecture across AWS, Azure & GCP

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Key Responsibilities

Take end-to-end ownership of application security as engineering organization scales

Work with codebase, architecture and product engineering teams to identify and solve high-impact security problems

Design sophisticated authorization & access-control models for multi-team and multi-brand environments

Secure high-throughput, internet-facing APIs and improve rate limiting and abuse detection

Design and improve compute isolation for multi-region, multi-cloud architecture spanning AWS, Azure & GCP

Support data residency and privacy requirements for global customer base

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Technical Skills Required

Application Security Threat Modeling Authorization & Access Control Cloud Security

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Benefits & Perks

Remote work in US & Canada

Visa sponsorship available

$220K–$320K base salary + competitive equity

Job Description

Lead Application Security Engineer | First Security Hire | Remote US/Canada | $220K–$320K + Equity

I’m partnering with a high-growth, venture-backed Data & AI infrastructure company to hire their first dedicated security engineer. A genuinely greenfield opportunity to define and build application security from the ground up.

The company pioneered the Composable Customer Data Platform (CDP), enabling businesses to activate data directly from their existing cloud data warehouses rather than relying on traditional, rigid CDP infrastructure. More recently, they’ve expanded into AI Decisioning, using AI agents to help enterprises personalize customer interactions at scale.

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