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DevOps Production Engineer at Rhino Federated Computing · Trevo
About Rhino
Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.
The company is headquartered in Boston, with an R&D center in Tel Aviv.
The Production Engineer will play a key role in ensuring the reliability, performance, and operational excellence of 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 worldwide.
You will be responsible for maintaining and improving production environments deployed both in cloud environments and behind customer firewalls. You will work closely with Platform, Backend, and Product teams to ensure systems remain stable, observable, and highly available.
This role focuses heavily on operational ownership, production monitoring, troubleshooting complex environments, incident response, and improving deployment reliability and operational tooling. It is ideal for someone who enjoys solving production challenges, improving system reliability, and building operational excellence in fast-moving environments.
What you'll do
Production Operations & Reliability: Maintain and support production environments across customer deployments and centralized cloud services, ensuring high availability and operational stability.
Monitoring and Observability: Develop, improve, and maintain monitoring, alerting, and logging systems to proactively identify issues and improve visibility across distributed systems.
Incident Response and Troubleshooting: Investigate, troubleshoot, and resolve complex infrastructure and application issues across cloud and on-premises environments, participating in incident management and root cause analysis.
Deployment Management: Manage and support production deployments, upgrades, and maintenance activities across geographically distributed customer environments.
Operational Excellence: Identify operational bottlenecks and continuously improve reliability, scalability, automation, and support processes.
Collaboration Across Teams: Work closely with Backend, DevOps, and Product Engineering teams to support new features, improve operational readiness, and ensure smooth production adoption.
Automation and Tooling: Contribute to internal tooling and automation efforts that reduce manual operational work and improve deployment and support efficiency.
Nice to have
Candidates should have 3–5 years of professional experience with a mix of the experiences described below:
3–5 years of experience in Production Engineering, DevOps, SRE, or similar operational roles
Experience working with cloud environments (AWS and/or GCP preferred)
Strong Linux administration and troubleshooting skills
Experience with Docker and containerized workloads
Experience with Python and scripting for automation
Experience with Infrastructure-as-Code and configuration management tools (Terraform, Ansible, or similar)
Experience implementing and maintaining monitoring and observability systems (Prometheus/VictoriaMetrics, Grafana, alerting systems, logging pipelines, etc.)
Experience working with CI/CD tools such as GitHub Actions
Experience troubleshooting networking-related issues in distributed environments
Familiarity with GitOps concepts and tools (ArgoCD is an advantage)
Strong debugging and problem-solving abilities
Comfortable working in dynamic startup environments
Experience supporting AI/ML products or platforms
Experience operating distributed systems
Experience supporting customer-facing production systems
Experience working with security-focused environments or privacy-sensitive workloads
Experience with VPN technologies, mTLS, ingress systems, or service networking concepts
The role is open to candidates who are based in Israel (hybrid work environment).