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Parallel 1245 in Paris seeks an experienced infrastructure specialist to build AI systems for healthcare facilities. This pivotal role focuses on creating reliable, compliant infrastructures across multi-cloud environments, including AWS and GCP. You’ll directly contribute to freeing medical staff from administrative work.
With a focus on Kubernetes, MLOps, and security, this opportunity allows for significant ownership and potential for role expansion into team leadership as the company grows.
At Parallel, we build AI agents to help healthcare facilities automate their administrative processes and unlock additional revenue, starting with medical coding.
Today, up to 25% of healthcare spending is lost in manual, repetitive administrative work. Legacy software hasn’t helped, it’s made things slower, more complex, and more frustrating for care teams.
We believe AI agents can change that. Our technology combines Large Language Models with system‑level automation to handle real work inside existing hospital tools. No integrations, no disruption.
Our first agent automates coding workflows and frees up time for medical staff to focus on patients.
We launched in 2024, are backed by top investors (Index, Frst, Y Combinator, Hexa, Kima Ventures, Better Angle), and we’re just getting started.
The future of healthcare isn’t just digital — it’s automated. Come help us build it!
Reducing administrative workload in hospitals means running AI systems that doctors and care teams can actually rely on — securely, inside real hospital environments, every single day. That reliability layer doesn't exist yet at Parallel, and we're looking for the person who will build it.
Build and run the infrastructure that makes Parallel's AI systems reliable, secure, and deployable at scale across hospitals — spanning multi‑cloud and on‑premise environments, under strict health‑data compliance (HDS).
This job is for you if:
We care about who you are, not just what's on your CV.
If you're drawn to what we're building but don't meet every requirement, we still want to hear from you. Studies show that women in particular tend to apply only when they meet 100% of the criteria. If that's you, please don't let that hold you back. We'd love to receive your application.