Senior DevOps Engineer

Reposted 2 Days Ago
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Tel Aviv
In-Office
Senior level
Artificial Intelligence • Cloud • Computer Vision • Healthtech • Machine Learning
Take AI to the Edge with Federated Computing
The Role
The Senior DevOps Engineer will manage and enhance infrastructure for Rhino's AI/ML platform, overseeing deployments, improving CI/CD workflows, and ensuring security and scalability.
Summary Generated by Built In
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.
  • 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.

About the candidate

Candidates should have 5+ years of professional experience with a mix of the experiences described below:

  • 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)

Top Skills

Ansible
Argocd
AWS
Azure
Bash
Filebeat
Fluentbit
GCP
Github Actions
Goalert
Grafana
Kubernetes
Linux
Prometheus
Python
Terragrunt
Vector
Victorialogs
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The Company
HQ: Boston, MA
45 Employees
Year Founded: 2021

What We Do

Rhino Federated Computing solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring — all in a secure, privacy-preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines.
Rhino is trusted by >60 leading organizations worldwide — including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies — and is leveraging this foundation for financial services, ecommerce, and beyond.
The company is headquartered in Boston, with an R&D center in Tel Aviv.

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