Senior Security Engineer – Application Security
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Job Description
Senior Security Engineer securing OutSystems’ AI-powered enterprise low-code platform. Driving application security, automation, and secure-by-default practices across AI and agentic systems.
Responsibilities:
- Independently drive security work across all phases of the SDLC, from early design and threat modeling through implementation, testing, and release
- Own delivery of moderately complex security projects or features
- Partner with engineering and platform teams to secure AI-powered and agentic capabilities
- Conduct focused security assessments of applications, APIs, internal services, and platform components
- Contribute to secure-by-default patterns, guardrails, and paved roads
- Operate and improve security tooling by tuning signal quality and reducing noise
- Build or extend security tooling and automation
- Communicate risks, tradeoffs, and recommendations to engineering partners
- Identify gaps or inefficiencies in security processes and suggest improvements
- Mentor junior engineers and new hires
- Strengthen stakeholder relationships within the area of responsibility
- Deliver security improvements that reduce real risk and shorten exposure windows
- Prevent recurring vulnerability patterns through better design or automation
- Enable engineering teams to ship faster with fewer security surprises
Requirements:
- Proven experience executing application security work in modern, cloud-native environments
- Strong grounding in application security fundamentals, including secure design and threat modeling
- Experience with vulnerability intake, triage, collaborative analysis, and remediation
- Ability to independently manage and deliver moderately complex security tasks from start to finish
- Ability to work across application security, cloud security, and platform security concerns
- Ability to write and reason about code
- Experience building or extending security tooling and automation using modern programming languages
- Ability to review, validate, and secure AI-generated or low-code-generated code and workflows
- Practical experience with AWS (required), Kubernetes, and microservices architectures
- Understanding of penetration testing, red teaming, and purple teaming and when each is appropriate
- Strong communication and collaboration skills
- Ability to mentor junior colleagues
- Practical understanding of AI-enabled and automated systems
- Experience with AI-assisted development tools or agents
- Experience with secure-by-default patterns, paved roads, or guardrails
- Exposure to Azure in addition to AWS
- Experience improving security tooling signal quality
- Prior experience with developer platforms, low-code platforms, or highly automated systems
Benefits:
- Structured professional development programs
- Professional Development Fund
- Internal Mobility Program
- Mentorship from industry experts
- Inclusive culture
- Equal opportunity employment
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