Application Security Engineer, Opendoor

• Deep conviction that AI and automation should eliminate manual work and increase the team's impact, and a track record to prove it. You’ve built agentic systems that replaced reactive security work, not just configured off-the-shelf tools
• Comfort operating with high autonomy in ambiguous environments. You’ve defined what “good” looks like in a domain where no playbook existed, you’re energized by that, not unsettled by it
• Business enablement security mindset. You measure success by business impact and informed risk-taking, not by tickets opened or pen test reports filed
• 5+ years of application security or software engineering experience with a security focus, with strong skills in at least one of Python, Go, TypeScript, or Ruby, and the ability to read and write code across the others
• Hands-on expertise across the security risk detection toolchain with real deployment experience using GitHub Advanced Security, Semgrep, or equivalent
• Strong grasp of common application and API vulnerability classes including GraphQL, REST, and gRPC security pitfalls - broken authorization, mass assignment, introspection exposure, insecure direct object references
• Practical threat modeling skills. You can take an architecture diagram and a 30-minute conversation and walk out with the three things that actually matter
• Experience with cloud and container security on AWS and Kubernetes, including identity and access management, secrets management, and continuous integration / continuous deployment pipeline security
• Humility and genuine curiosity. You're as excited to learn from product engineers and enable their work as you are to break things

Desirable

• As our Application Security Engineer, you'll own how we find, prioritize, and drive down application-layer risk across the consumer flows that put cash offers in homeowners’ hands, the GraphQL APIs that power our products, and the AI agents and vibe-coded tools our engineers ship every week
• The job is to make it safe to build fast, not to slow things down
• Define, build and operate Opendoor’s application vulnerability identification capability - the tooling, triage workflow and remediation techniques across our consumer products, internal admin tools and GraphQL API powering home acquisition, resale, mortgage, title and escrow
• Assess, rationalize and own our AppSec tooling stack - static and dynamic security testing, software supply chain risk detection and secrets scanning and integrate findings into developer workflows where engineers already live (GitHub, Linear, Slack)
• Own and mature our HackerOne program: tightening the triage workflow, improving signal to noise on incoming reports, strengthening researcher relationships and closing the loop with engineering teams so root causes get addressed quickly
• Lead threat modeling and security design reviews for new services, APIs, and mobile features. Turn the patterns you see into rules, lint checks, and CI guardrails so the next team doesn't make the same mistake
• Build AI agents and automated workflows that triage vulnerability reports, validate exploit reproductions, and draft remediation pull requests, replacing manual security review with high-signal automation
• Partner with engineering teams to harden authentication, authorization, and input validation across our codebase and production services, including the GraphQL gateway (Apollo) and our Kubernetes workloads - while driving a shift-left strategy that catches vulnerabilities before they ship
• Build Opendoor’s offensive security capability. Scope and run internal security testing, red team exercises and adversarial analysis of our highest-risk flows ensuring findings directly harden detection and response
• Set the bar for what "secure by default" looks like for AI-maximalist engineering, including vibe-coded apps, MCP servers, and agent-driven workflows that touch production data
• Build Opendoor’s security culture by establishing secure design standards, embedding into engineering team rituals and developing a strong security mindset - creating a foundation for engineers to think like attackers without slowing down
• Tech Stack:
• Languages: Go, Python, TypeScript, Ruby, Terraform
• Cloud: AWS, GCP, Azure, Kubernetes, Apollo GraphQL
• AppSec Tooling: GitHub Advanced Security (CodeQL, Dependabot, secret scanning), Semgrep, HackerOne, Burp Suite, Cloudflare WAF
• AI Tooling: Claude, OpenAI, various agent frameworks, MCP — used heavily for vulnerability triage, exploit verification, and remediation drafting