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Cloud Architect - Robot Management SystemsgrabjobsUnited States
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Cloud Architect - Robot Management Systems

grabjobs
  • US
    United States
  • US
    United States

About

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 .
  • United States

Languages

  • English
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