Staff Software Engineer

TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk. At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future. AI Fearlessly.

TrendAI is seeking a Staff or Senior Staff Software Engineer to help build Trend Vision One™ Internet Access, our secure web gateway. Internet Access sits inline between an enterprise's users and everything they reach on the internet — web, SaaS, and increasingly AI services — and applies the customer's policy to that traffic: what's allowed, what's inspected, and what data isn't permitted to leave. The Austin team works across three surfaces: a fleet of cloud proxy points of presence that inspect customer traffic in dozens of global regions across multiple clouds; a gateway that customers deploy inside their own network when traffic has to be inspected on premises; and a cloud control plane of microservices that runs policy, identity, inspection configuration, and logging. Inspection itself spans HTTPS interception, URL and cloud-application classification, data-loss prevention, and prompt and response inspection for AI services. This is a hands-on engineering role with architectural scope, and the team is taking on a materially wider slice of the product than it owns today. AI Secure Access is the fastest-moving part of it. Enterprises want to let employees use Claude, Copilot, Gemini and their coding agents without leaking source code or customer data into them, and want that traffic restricted to their own corporate tenant. Delivering that means understanding how each of those clients actually behaves on the wire — including the ways a client will route around a block it just received — and turning that into detection we can ship and test daily. We're moving in the same direction as the rest of the industry: engineers no longer just write code; we design the systems that produce it. Concretely, we're building toward a daily loop where: Engineers work through an agent harness (Claude Code, plus its peers) layered on top of GitHub Actions, Jira, CI/CD, docs, and runtime data. Agents handle most of the inner development loop. Humans gate at the edges — architecture, end-to-end validation, the failures the agents can't resolve, and the question of what "good" actually means. Engineers design the pipeline; if the output is bad, we fix the assembly line. We're partway through this transition and the candidate we hire will help define how much further it goes. AI makes mistakes — confidently. A senior engineer's value shifts from typing code (AI does that) toward defining the right requirements, catching the plausible-but-wrong output, and bringing the context AI doesn't have. The skills that matter most: Systems thinking — catch failure modes (latency, cost, drift, silent failures) before they reach production. Operational instinct — when something looks off in production, reach for metrics, profiling, and autoscaling without waiting for an SRE. Critical review — design validation layers and catch the subtle thing that looks right but isn't. Security thinking — zero-trust is the product and the development model; reason about access control, data protection, and safe execution boundaries by default. Domain expertise — understand (or be ready to learn) our customers' environments, the problems they bring us, and the operational realities that aren't in any spec.