Staff Engineer, Security Platform Development

3 нед. назад

Hong KongSingaporeWorldwideLead

devsecopssecurity engineering

Staff Engineer responsible for building out security engineering and DevSecOps capabilities, designing security products, platform services, and SDKs/Agents for embedding protection into software lifecycle.

Обязанности

This is a role for someone with real depth in security, broad coverage across the stack, and the engineering muscle to ship. Just as important is the ability to drive adoption — security that lands in complex, fast-moving business environments rather than sitting in a policy document.

Будет плюсом

Security engineering experience at a top-tier internet company, cloud provider, or leading security vendor
You've led the build of a DevSecOps platform, application security platform, RASP, code scanning platform, or cloud-native security platform
Background in security product development, SDK/Agent engineering, vulnerability research, red team exercises, or purple team work
Shipped AI + Security work — security copilots, intelligent rule generation, automated analysis, or remediation recommendation systems

Условия

Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances 
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!

Другое

Architect and build our end-to-end DevSecOps platform and the SDKs/Agents behind our security products, covering code, build, artifacts, images, deployment, and runtime.
Lead runtime protection through RASP and Java Agent — bytecode instrumentation, runtime hooking, and detection/interception engines using ASM, ByteBuddy, and Instrumentation, with continuous tuning for performance, stability, and compatibility.
Integrate and productise scanning capabilities across SAST, DAST, IAST, SCA, code scanning, and image scanning. You'll embed tools like SonarQube and Coverity deep into CI/CD and close the loop from detection through blocking, remediation, and re-test.
Go deep on application security offence and defence — designing detection, remediation, hardening, and counter-measures for XSS, SQL injection, SSRF, deserialisation, command execution, authentication/authorisation flaws, and API security.
Bring AI-native security engineering to life. Apply LLMs and AI Agents to vulnerability analysis, rule generation, false-positive attribution, remediation guidance, security knowledge capture, and engineering automation — and build a coherent view of the architecture, mechanics, and security implications.
Embed as the security technical expert inside engineering teams, driving security standards, onboarding specifications, release gates, risk tiering, and remediation mechanisms that measurably lift the security baseline and delivery quality.
Partner across engineering, architecture, SRE, QA, and business teams on priority projects, solving the genuinely hard security problems and turning the solutions into reusable platform capability and repeatable practice.
Strong computer science and security fundamentals — deep understanding of operating systems, networking, compilers and the JVM, distributed systems, application security, cloud-native security, and supply chain security. Both breadth and depth.
Expert-level Java, with hands-on depth in the JVM, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, and performance profiling and tuning. Plus working proficiency in Python or Go.
Substantial production experience with RASP, SAST, DAST, IAST, SCA, image security, and code scanning — enough to design a capability, integrate the engine, build the platform around it, and take it to scale independently.
Real offensive and defensive experience. You understand the root causes, exploitation paths, detection logic, bypass techniques, and fixes for common web, API, and microservices vulnerabilities — and can design from both the attacker's and defender's point of view.
Fluency with LLMs and AI Agents, including a considered view on model capability limits, agent architecture, tool calling, context engineering, evaluation methods, and how AI is reshaping both security engineering and the attack surface.
Strong engineering execution paired with product instinct — able to lead the design and delivery of security products, platform modules, and SDKs/Agents while balancing security outcomes against performance overhead, integration cost, and long-term operability.
Exceptional ownership, cross-team communication, and the persistence to move security governance, rule enforcement, and remediation through to a clear result.