Cloud Architect - Robot Management Systems

Описание вакансии

What we’re doing isn’t easy, but nothing worth doing ever is.

At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Our robots operate in complex environments such as hospitals, supporting staff so they can focus on higher-value work and patient care.

As we continue scaling our robot fleet and the systems that support it, we’re building a robust platform to manage robot operations, fleet performance, and integrations with customer systems. Join our mission-driven team as we build the applications and infrastructure that power the next generation of robot management.

Role Overview

The Cloud Architect – Robot Management Systems is a hands-on technical leadership role responsible for defining and executing the architecture and roadmap for Diligent’s Robot Management Systems. These systems power the cloud services, APIs, and applications used to manage robot fleets, integrate with customer systems, and support our Operations teams in the field.

This role combines architecture, engineering leadership, and hands-on development. You will collaborate closely with the VP of Robot Management Systems to define strategy and priorities, guide the engineering roadmap, and ensure high-quality delivery through modern cloud-native architecture and CI/CD practices.

You will work cross-functionally with Operations, Product, Implementation, and Customer teams to ensure the systems we build are scalable, reliable, and aligned with real-world operational needs.

Key Responsibilities

• Define and execute the technical architecture roadmap for our Robot Management Systems platform.
• Evolve the strategy for our cloud applications to standardize and organize services that support operations teams, implementation teams, and customers.
• Design and implement scalable cloud-native architectures that support a growing fleet of robots and increasing operational complexity.
• Develop and maintain Node.js backend services and APIs, ensuring high performance, reliability, and clean, maintainable code.
• Architect and implement secure, well-documented APIs that integrate with third-party healthcare systems and customer environments.
• Establish and enforce engineering standards, architecture patterns, and best practices across the team.
• Drive software quality and compliance by implementing automated testing, CI/CD pipelines, and deployment best practices.
• Lead the adoption of modern DevOps practices, including infrastructure as code, automated deployments, and observability.
• Provide technical leadership and mentorship to a small, growing team of engineers.
• Lead architectural reviews and guide engineers through complex technical challenges.
• Ensure systems are designed with security, reliability, and compliance requirements appropriate for healthcare environments.
• Implement robust monitoring, logging, and alerting systems to support operational visibility and incident response.
• Evaluate and integrate emerging technologies that improve system scalability, reliability, and developer productivity.

Basic Qualifications

• + Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

+ 8+ years of professional software engineering experience, including significant work building distributed cloud applications.

+ Strong hands-on experience building service-based applications using Node.js.

+ Experience building modern web applications using React or Next.js.

+ Deep expertise with cloud-native architectures and modern backend systems.

+ Strong experience with AWS (preferred) or another major cloud provider such as Google Cloud.

+ Experience designing and operating microservices architectures and RESTful APIs.

+ Experience with tools such as GitLab CI/CD, ArgoCD, or similar deployment and automation platforms.

+ Experience with containerization and orchestration technologies such as Docker and Kubernetes.

+ Strong experience with observability tooling including monitoring, logging, and distributed tracing systems.

+ Ability to define and drive engineering standards, architecture guidelines, and development practices.