The Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data sovereignty. Rhino FCP is powered by Edge Computing and Federated Learning - innovative techniques that ‘bring code to the data’, training AI models locally in order to arrive at better outcomes for applications such as drug discovery and fighting financial crime.
The Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data sovereignty. Rhino FCP is powered by Edge Computing and Federated Learning - innovative techniques that ‘bring code to the data’, training AI models locally in order to arrive at better outcomes for applications such as drug discovery and fighting financial crime.
Recent funding: May 22, 2025 Series A $15M (led by AlleyCorp)
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Company Overview
Problem Domain
Privacy-preserving distributed data collaboration and federated learning for regulated and siloed datasets.
Founded
2021
Industry
Software Development
Funding Track Record
Seed- February 10, 2021
$5M
Seed announced at company launch
Series A- May 22, 2025
$15M
Series A reported as oversubscribed with multiple participating investors
Investor Signal
“Raised an oversubscribed $15M Series A with participation from multiple specialist and institutional investors, indicating institutional investor confidence.”
Founders
What we do
Join the Team
Senior DevOps Engineer
HybridTel Aviv-Yafo, Tel Aviv District
Hybrid • Tel Aviv-Yafo, Tel Aviv District
About The Role
The Senior DevOps Engineer will be responsible for enhancing and scaling the infrastructure powering Rhino’s Federated Computing Platform (Rhino FCP). This distributed infrastructure supports cutting-edge AI/ML research and development across highly regulated industries, including healthcare, finance, and life sciences, by enabling secure, privacy-preserving data collaboration around the world.
You will oversee a fleet of installations deployed behind the firewalls of partner organizations, alongside a centralized cloud orchestration layer and advanced CI/CD pipelines, monitoring systems, and deployment tooling. You'll collaborate closely with backend engineers, as many infrastructure components are tightly integrated with the FCP’s core capabilities.
This role involves end-to-end ownership: from architecture and design to implementation and support. It’s ideal for someone who thrives in fast-paced environments, loves working with modern infrastructure, and is excited to drive innovation in secure, distributed AI platforms.
Key Responsibilities
End-to-End Infrastructure Ownership: Take full ownership of infrastructure components - from initial ideation and architectural design through implementation and automated deployment, across diverse technologies and geographically distributed environments.
Scalability and Enhancement: Continuously enhance and scale the platform’s underlying infrastructure by implementing updates, driving performance improvements, and integrating new platform capabilities to support product growth.
Maximize Development Velocity: Design, improve, and maintain DevOps tooling and workflows (CI/CD pipelines, configuration management) to significantly boost development velocity and streamline the engineering process.
About The Candidate
Candidates should have 5+ years of professional experience with a mix of the experiences described below:
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Distributed Deployment Management: Oversee and manage all platform deployments, ensuring consistency and reliability across local installations at client sites and within the centralized cloud orchestration layer.
Product Development: Collaborate closely with Backend and Frontend Engineering teams to co-develop platform features that have significant infrastructure dependencies, ensuring new capabilities are designed and implemented with built-in scalability and operational tooling.
Establish Foundational Quality: Ensure observability, scalability, and security are deeply integrated and prioritized across the design, implementation, and operation of all infrastructure layers.
5+ years of experience in DevOps engineering with AWS and GCP/Azure.
5+ years of experience designing and developing infrastructure components with Kubernetes
5+ years of experience with Linux
5+ years of experience with Bash/Python
5+ years of experience working with IaC and CM tools (Terragrunt, Ansible)
5+ years of experience implementing monitoring solutions (Prometheus/VictoriaMetrics, Grafana, GoAlert, etc) and logging systems (VictoriaLogs or similar, Filebeat/FluentBit/Vector, etc.)
3+ years of experience with CI/CD tools like GitHub Actions
3+ years of experience with GitOps tools (ArgoCD)
Deep understanding of networking and experience developing infrastructure with non-trivial networking components (e.g. WireGuard VPN, NGINX passthrough, mTLS, gRPC, confidential computing environments, etc)
Experience working in a startup environment
Advantage for experience developing AI/ML-based products or platforms
Advantage for experience developing distributed systems
Advantage for experience developing products with a focus on data security and privacy (e.g., PII data protection)
The role is open to candidates who are based in Israel (hybrid work environment)
