InPost

Security Engineer (m/f/n)

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SeniorHybryda·WarszawaFull-time

#471217·Dodano 15 dni temu·4

Źródło: InPost

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Tech Stack / Keywords

AILLMAI agentsAWS Azure GCPOWASP Top 10 for LLM ApplicationsOWASP Top 10 for Agentic ApplicationsMITRE ATLAScloud security

Podsumowanie oferty

You will assess the security of AI, LLM and agentic systems across InPost’s technology estate, identify vulnerabilities and help engineering teams fix them. You will build security controls and automation, and secure the systems’ cloud and container infrastructure across AWS, Azure and GCP.

Wymagania

5+ years of experience in application security or product security.
5+ years of coding experience in one or more general-purpose languages, including shipping and operating production services.
5+ years of experience with security assessments, secure design reviews or threat modelling.
Solid understanding of generative AI, LLMs and AI agents, and how they are built and deployed in production.
Deep knowledge of AI-specific attack classes and how they apply to real systems.
Experience securing agentic, code-execution or LLM-integrated systems.
Track record of finding and reasoning about vulnerabilities in real systems.
Experience building engineered security controls.
Hands-on cloud and container security experience on AWS, Azure or GCP.
Strong presentation skills and the ability to explain technical and security topics in clear business terms to a wide range of stakeholders.
Good English skills for confident communication in an international environment.

Nice to have:

Background building security automation or developer-facing security tooling.
Working knowledge of the OWASP Top 10 for LLM Applications and OWASP Top 10 for Agentic Applications.
Working knowledge of MITRE ATLAS.

Obowiązki

Assess the security and review the secure design of AI, LLM and agentic systems across InPost’s technology estate.
Identify and reproduce vulnerabilities in AI-powered and agentic systems, and work with engineering teams to address their root causes.
Define and build security controls for AI/ML and LLM-related risks.
Build security automation and developer-facing tooling to help product and engineering teams build securely by default.
Review new AI solutions and system architectures for security risks, and represent security in AI governance forums and the AI solutions catalogue.
Apply cloud and container security practices across AWS, Azure and GCP to secure the infrastructure AI systems run on.
Advise on AI-specific attack classes and evolving threats.
Translate technical and security findings into practical guidance for business stakeholders.

Benefity

Training opportunities for professional development.
Flexible hours.

Elastyczne godziny

InPost

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