DevOps Engineer

We are a fast growing cybersecurity startup redefining how organizations defend themselves. As attackers leverage AI for high-speed strikes, we provide defenders with the same tools. Our platform creates an AI driven Autonomous Attacker that thinks like a hacker, generating end to end attack chains across Web, Cloud, and AI applications to prioritize mitigation where it matters.

Founded a year ago, we’ve moved at lightning speed raising a Seed from CyberStarts and a Series A from Lightspeed within five months. We are a team of 35 employees, now expanding our GTM and Product teams.

Based in Sarona, Tel Aviv, we maintain a high transparency, low ego environment where individuals have the autonomy to make a massive impact on a category defining product.

About the Role:

We are looking for an experienced Senior DevOps Engineer to lead the design and implementation of our cloud infrastructure from scratch. You will be a key partner in building our foundation in a highly dynamic, startup environment.

This role is ideal for a tech savvy expert who thrives on solving complex architectural challenges in the AI space.

What You’ll Do:

Design, build, and maintain our scalable AWS infrastructure and production environments entirely from scratch.
Act as our Kubernetes Expert, managing container orchestration and deep-diving into complex areas like Admission Webhooks.
Develop and optimize CI/CD pipelines while working hand-in-hand with R&D to package and release innovative AI-driven features.
Manage Infrastructure as Code using Terraform, ensuring a deep conceptual understanding of automation and scalability.
Oversee comprehensive monitoring, logging, and security best practices across all cloud processes.
Lead technical mentorship and drive a collaborative DevOps culture, providing creative solutions to non-trivial infrastructure problems.
5+ years of experience in DevOps or Site Reliability Engineering, with a strong preference for early-stage startups.
Proven expertise with AWS and expert level hands on experience with Kubernetes and Docker in production.
Expert knowledge of Terraform and automation scripting (Python, Go, or Bash).
Ability to handle dynamic environments and prioritize tasks independently in a fast paced environment.
Solid understanding of Linux systems, networking protocols.
A collaborative mindset, someone who is a self-starter but also a patient communicator and a team player.

Preferred Skills:

Experience with Microservices, distributed systems, and modern AI-related infrastructure.
Familiarity with data streaming or big data technologies.
Relevant industry certifications (e.g., CKA, AWS Solutions Architect).