TL;DR
Software Security Engineer: Building security for large-scale AI clusters and designing secure development workflows for multi-cloud environments with an accent on cloud security architecture, IAM, and CI/CD pipelines. Focus on applying deep expertise in threat modeling, risk assessment, and driving engineering excellence in ambiguous technical problems.
Location: Hybrid, requires working from the Zürich office at least 25% of the time.
Company
hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems for societal benefit.
What you will do
- Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls.
- Design secure-by-design workflows and CI/CD pipelines across services, with expertise in various cloud environments and Kubernetes security.
- Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows.
- Apply deep expertise in threat modeling and risk assessment to secure complex multi-cloud environments.
- Mentor engineers and contribute to hiring and growth of the Security team.
Requirements
- 5-15+ years of software engineering experience implementing and maintaining critical systems at scale.
- Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++).
- Experience managing infrastructure at scale with DevOps and cloud automation best practices.
- Proven ability to lead cross-functional security initiatives.
- Outstanding communication skills, translating technical concepts effectively across all organizational levels.
- Passion for AI safety and alignment, with keen interest in making AI systems more interpretable.
- Work from Zurich office at least 25% of the time.
- English: B2 required.
Nice to have
- Designing and hardening CI/CD pipelines against supply chain attacks.
- Building secure development workflows through hardened remote environments.
- Implementing network segmentation and access controls in cloud environments.
- Managing infrastructure through automated configuration and policy enforcement.
- Hardening containerized applications and enforcing security policies.
Culture & Benefits
- Work as a single cohesive team on a few large-scale research efforts, valuing impact and advancing long-term goals of steerable, trustworthy AI.
- Offer competitive compensation and benefits, optional equity donation matching, and generous vacation and parental leave.
- Provide flexible working hours and a lovely office space for collaboration.
- Visa sponsorship is available.
- Strive to include a range of diverse perspectives on the team.
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