Senior Cloud Infrastructure Engineer
Job Description
WHO WE ARE Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients. Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026. We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research. Inato is the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025. THE ROLE As our Senior Cloud Infrastructure Engineer, you will own the maintainability and scalability of the infrastructure that powers Inato's platform. Reporting to Bastien, our CTO, you will split your time between projects that strengthen our infrastructure and run work that keeps it healthy. Until now, infrastructure work has been a shared responsibility between all members of the tech department. Now that we have multiples teams, more complex services, and a rapidly growing volume of patient data and system integrations, we believe it's time for a dedicated position. This is a high-ownership, senior individual-contributor role: you will inherit a functioning system, and be responsible for bringing it to the next level. Your success will be measured by the impact of your projects on product delivery, and your ability to prevent and solve production issues. RESPONSIBILITIES - Lead projects that improve the maintainability and scalability of our cloud infrastructure - Own day-to-day infrastructure operations, solving problems directly or making sure they are dispatched to the right team - Coach other tech team members on how to best leverage the capabilities of our cloud infrastructure QUALIFICATIONS MUST-HAVE - 5+ years in a similar role (infrastructure, platform, SRE, DevOps) - Strong experience building and maintaining highly available cloud infrastructure environments using code, directly supporting product delivery - Deep understanding of Linux systems, containerization and orchestration - Solid networking fundamentals - Excellent communication, able to translate between technical and non-technical audiences NICE-TO-HAVE - Experience with GCP - Experience as the first or sole dedicated infrastructure hire - Experience in a regulated or healthcare environment CONCRETE PROJECT EXAMPLES - Redesign our IAM model. Move us from ad-hoc, hand-managed permissions to a clean least-privilege structure managed as code, making access auditable, consistent, and easy to reason about as we scale.
- Centralize our logging. Re-architect how we handle logs so everything flows into a single dedicated sink project, giving the team one reliable place to observe and debug across environments.
- Bring our cloud costs under control.
- Base salary range: 70,000€ – 90,000€, plus equity. No individual variable bonus. BENEFITS - Remote-first philosophy & flexible hours - Top-of-the-line equipment - Modern free health insurance (Benefiz) - Compensatory time off (RTT) - Lunch vouchers (Swile) - Gym membership (Gymlib) - Free books & learning material
How to Stand Out
- Highlight your experience designing and scaling cloud environments (AWS, GCP, Azure) that support AI‑driven platforms; include metrics such as “reduced data processing latency by 30% for a 5,000‑site clinical trial network” and attach a concise architecture diagram in your portfolio.
- Demonstrate mastery of infrastructure‑as‑code (Terraform, CloudFormation, or Pulumi) by sharing a public GitHub repo that provisions a HIPAA‑compliant VPC, secure RDS instance, and CI/CD pipeline for deploying machine‑learning models—explain how you used version control, automated testing, and roll‑backs.
- Show how you leverage Excel for cost‑optimization reporting: create a one‑page dashboard (attach as PDF) that tracks cloud spend, forecasts quarterly budgets, and identifies savings opportunities (e.g., rightsizing instances, reserved‑instance purchases). Mention any past savings percentages you achieved.
- Prepare a brief case study on collaborating with data scientists and pharma stakeholders to meet regulatory requirements (GCP‑DLP, AWS Macie, GDPR); be ready to discuss the security controls you implemented and how you communicated technical trade‑offs to non‑technical teams.
- For remote candidates, set up a short video walkthrough (2‑3 min) of your home‑office networking setup, highlighting secure VPN, IAM policies, and monitoring tools (Datadog, Prometheus) to prove you can maintain high‑availability infrastructure from France.
- When discussing compensation, reference Inato’s growth trajectory (5,500+ sites, 2026 expansion) and cite market data for senior cloud engineers in Paris/remote France; propose a base + performance‑linked bonus tied to uptime SLAs or cost‑savings milestones.
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