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An innovative firm is seeking a DevOps SRE to enhance its autonomous cybersecurity investigations. In this pivotal role, you'll deploy and optimize LLM infrastructure, architect secure environments, and automate processes using Infrastructure as Code. Join a dynamic team that values speed and autonomy, working on cutting-edge AI challenges that significantly impact the cybersecurity landscape. With a remote-friendly culture and opportunities for equity, this position is perfect for those ready to shape the future of cyber defense while enjoying a flexible work environment.
Qevlar AI is revolutionizing the SOC with autonomous investigation and, in doing so, solving three key problems for analysts : the cybersecurity talent shortage, alert fatigue, and increasingly complex and sophisticated threats.
Founded in 2023, we've already made waves in cybersecurity, AI, and start-up communities. A few highlights :
We're at a pivotal stage - building fast, growing smart, and bringing on sharp minds to shape the future of autonomous cyber defense.
What will you do?
As our DevOps SRE , you'll help us build and operate the infrastructure needed to scale autonomous cybersecurity investigations powered by LLMs.
Your first 6 months :
Design and run scalable inference environments, optimize performance (latency, throughput, cost), and set up monitoring and logging for everything.
Architect and implement infrastructure that can support secure, isolated deployments across on-prem, hybrid, and cloud setups.
Build bulletproof pipelines, reduce manual work, and implement best-in-class IaC using Terraform or similar tools.
Who we're looking for
Must-haves
Nice-to-haves
What success looks like
Our stack
5 services (in Python / Typescript)
Hiring process
This is a high-impact role for someone who wants to architect modern AI infra - and be a key pillar in how we scale. Ready to dive in?
Teams Tech Locations Paris Remote status Hybrid Employment type Full-time