SRE / DevOps Engineer
Posted 26 Jun 2026
Advertised as “Senior SRE / DevOps Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
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 !
Context
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.
This is a founding SRE / DevOps role: you'll be the first and only DevOps engineer on the team, working hands-on alongside the founders and a freelance partner. There's no existing infra team to lean on and no one else to do the work at the start — you'll own it end to end, from cloud architecture to on-premise deployments inside hospital networks.
Your mission
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).
Outcomes
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Multi-cloud infrastructure & container orchestration: design, implement, and maintain our infra across AWS, GCP, and Azure (ECS/Fargate, GKE Autopilot, Docker).
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Security & health-data compliance: guarantee HDS compliance and data protection; proactively identify and resolve security risks.
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On-premise & hybrid deployments: deploy and maintain infrastructure inside hospital networks, bridging cloud and client-site VMs via site-to-site VPN and Ansible, in constrained network environments where you don't own the full stack.
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CI/CD & deployment workflows: set up pipelines (GitHub Actions) and build scalable, observable systems (logging, monitoring, tracing).