Consulting Cloud Architect, OpenShift
Red Hat
Design and deliver Red Hat OpenShift, Kubernetes, and hybrid cloud solutions for enterprise customers. Lead customer engagements focused on infrastructure, automation, and application delivery.
Open
Qualified Health is a healthcare-native enterprise AI company serving health systems with a unified platform for deploying, governing, and scaling artificial intelligence. Its SaaS platform connects with clinical, operational, and financial systems, bringing together validated AI solutions, workflow and agent-building tools, integrations, oversight controls, and workforce education. Qualified Health focuses on helping healthcare organizations introduce AI in a safe, compliant, and measurable way across diverse workflows, with reported deployments reaching thousands of users and delivering operational and financial impact.
Principal Backend Engineer (Hybrid, Palo Alto)
Lead architecture and technical direction for Qualified Health’s generative AI healthcare SaaS platform. Build secure, scalable infrastructure for regulated healthcare environments.
United States
California$230,000 – $280,000 / year
HybridFull-timeLeadEnglish RequiredBackend EngineerSoftware EngineerDescription
- Own the architecture and long-term technical direction of core platform services
- Guide complex, cross-functional initiatives from initial concept through production while documenting key trade-offs
- Develop and review critical code while setting expectations for quality, maintainability, security, and performance
- Advance infrastructure automation, observability, monitoring, alerting, reliability goals, and incident response practices
- Work with product, security, compliance, and customer-facing teams to turn requirements into platform capabilities
- Mentor and develop Senior and Staff engineers
- Lead technical reviews, architecture decision-making, and lasting technical documentation
- Act as a senior escalation resource for complex production incidents, directing root cause analysis and systemic remediation
- Assess emerging generative AI technologies and advise on build-versus-buy decisions
- Support engineering planning, scope definition, sequencing, and risk reduction for major milestones and deliverables
Requirements
- Proven experience designing, launching, and operating a production generative AI application or platform at scale
- Expert-level Python experience
- Working knowledge of TypeScript or Java
- Practical experience with a modern compiled language such as Go or Rust
- Experience designing distributed systems, microservices, and RESTful APIs
- Extensive hands-on experience with AWS, GCP, or Azure
- Experience managing infrastructure as code with Terraform
- Strong command of DevOps, CI/CD pipelines, monitoring, and observability tools
- Production experience with Docker and Kubernetes
- Technical leadership across architecture decisions, cross-team initiatives, and engineer mentoring
- Ability to explain complex technical subjects clearly to engineers, executives, and customers
- Strong problem-solving ability and sound judgment in ambiguous, rapidly changing environments
- Availability to work on-site in the Palo Alto offices three days per week
- Significant GCP experience and familiarity with AWS, GCP, and Azure
- Experience with AI/ML platforms and frameworks including TensorFlow and PyTorch, as well as LLM serving, evaluation, and monitoring
- Experience developing platforms in regulated environments such as HIPAA or SOC 2
- Familiarity with front-end technologies including React, Angular, and Vue.js
- Previous experience in healthcare
- Experience as an early engineering team member at a high-growth company
Benefits
- Equity packages
- Medical, dental, and vision insurance
- Flexible working hours
- Hybrid work arrangements
- An inclusive environment that supports creativity and innovation
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