Engineering Manager; Application Security Job Austin area,Texas USA,IT/Tech

Position: Engineering Manager (Application Security)

We are hiring an entrepreneurial Engineering Manager to lead Qualia’s Application Security team
This is a builder’s role
You won’t just run a team - you’ll redesign how a modern App Sec function operates when AI can do the first pass on nearly everything we used to do by hand
The team today owns secure design reviews, vulnerability triage, internal penetration testing, incident response support, and security tooling across a JavaScript/NodeJS and Kubernetes stack
Your mandate is to scale that surface area vertically - growing output and coverage per engineer - by making AI-assisted workflows the default
That means automated pen testing pipelines, AI-driven triage of findings from SAST/DAST/SCA, agentic review of engineering proposals and design docs, and continuous red-teaming exercises that test both our systems and our assumptions
You’ll partner closely with Platform, Infra, and product engineering leaders to embed security earlier in the development lifecycle, and you’ll be the team’s voice when we set the security vision for the next two years - including anomaly detection across production traffic, model-driven threat hunting, and how we defend against (and responsibly use) AI-enabled attackers
Securing that platform - the money, the identities, and the documents flowing through it - is what the Application Security team does every day
We’re hiring an Engineering Manager to lead this team into its next chapter: one where AI is a force multiplier for every part of our security program
Lead and grow the Application Security team - coaching senior App Sec engineers, setting goals, and owning delivery against the security roadmap
Build the automated pen-testing program. Stand up pipelines that run continuous, AI-assisted offensive testing against our services, APIs, and web properties - and turn the output into a triaged, actionable queue
Scale triage with AI. Design the workflows and tooling that let the team handle 10x the volume of findings (bug bounty, scanner output, customer reports) without 10x the headcount
Review engineering proposals. Sit at the front of the design process with engineering leaders across Core, Clear, Shield, Connect, and Atlas - reviewing RFCs and proposals, flagging risk early, and helping teams ship securely by default
Run red-teaming exercises. Drive recurring red team engagements - both internal exercises and coordinated vendor work - and close the loop into detection, response, and product hardening
Own the App Sec vision. Partner with the leadership team to set multi-quarter strategy across anomaly detection, threat modeling, and AI-augmented defense
Fight fires when they happen. Lead incident response from the application security side, and be the person engineering trusts to make the call in the room
Mentor and hire. Recruit strong App Sec engineers, mentor the ones you have, and build a team culture where people are pushed and supported in equal measure
THE TECH STACK YOU’LL USE:
JavaScript / NodeJS / Typescript / Meteor
Microservice architecture / Kubernetes Operators
AWS
MongoDB
Modern App Sec tooling: SAST/DAST/SCA and an expanding AI-assisted security automation layer that you’ll help build

Benefits

Medical, Dental & Vision:
Healthcare plans to keep your mind and body healthy.
Competitive salary & equity:
Our team builds together and benefits together.
Flexible schedules:
Our focus is on results so work at your peak hours.
Customized workstations:
It helps to build the best when your tools are the best.
Unlimited learning:
Better yourself with in-house and external courses.
Hot meals & a stocked kitchen:
Daily catered lunches so you’re always well fed.

5+ years as a security or full-stack engineer working on production systems, with 2+ years managing a security or platform engineering team
Track record of shipping automation that changed how a team worked - ideally including meaningful use of LLMs, agents, or ML in a security or engineering workflow
Keen product sense and a bias toward measurable impact. You care whether the risk actually went down, not whether a ticket got closed
Strong written communication. You can write the design doc, the post-mortem, and the board-ready summary - and you can tell a product engineer why their proposal needs to change without shutting down the conversation
Comfort operating across the full security lifecycle: prevention, detection, response, and recovery
Hands-on depth in application security: threat modeling, code review, and at least one offensive-security discipline (pen testing, red team)
Experience in fintech, real estate tech, or another regulated, high-liability domain preferred
Published research, CVEs, or conference talks in App Sec, offensive security, or AI security
Background designing or operating anomaly-detection systems on production traffic, auth logs, or financial transactions
Familiarity with the evolving landscape of AI-enabled offense (prompt injection, model abuse, agent exploitation) and defense

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