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Principal Backend Engineer

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Principal Backend Engineer in USA

  • Qualified Health PBC
  • Full time
  • Email
  • Palo Alto, CA

Responsibilities

  • Define and drive the long-term technical direction and architecture for core backend systems and services.
  • Lead complex, cross-team engineering initiatives from design through production operation and resolve architectural disagreements.
  • Design, implement, and review critical backend infrastructure components and solve difficult technical problems hands-on.
  • Architect scalable distributed systems, APIs, data services, and asynchronous workflows for enterprise workloads and integrations.
  • Improve reliability, observability, performance, capacity planning, incident prevention, and operational efficiency.
  • Mentor senior and staff engineers and develop emerging technical leaders.
  • Partner with engineering, product, AI, security, and business leadership on technical strategy, investments, trade-offs, and build-versus-buy decisions.

Requirements

  • Demonstrated experience architecting, building, and operating complex large-scale backend or platform systems in production with measurable impact.
  • Deep expertise in distributed systems, including service architecture, data consistency, concurrency, fault tolerance, scalability, and performance optimization.
  • Expert proficiency in at least one modern backend programming language and willingness to work extensively in Python.
  • Strong experience designing and operating cloud-native applications on AWS, GCP, or Azure, including infrastructure automation, deployment, and production operations.
  • Deep understanding of API design, data modeling, databases, asynchronous processing, and modern backend architecture.
  • Ability to independently identify important technical problems and translate complex requirements into pragmatic, scalable solutions.
  • Demonstrated ability to improve engineering effectiveness through architectural simplification, reusable systems, mentorship, and technical standards.
  • Experience with production generative AI applications, LLM-powered workflows, or AI infrastructure is desirable.
  • Experience with multi-tenant enterprise SaaS platforms and stringent security, isolation, scalability, and availability requirements is desirable.
  • Experience with Google Cloud Platform, Kubernetes, Terraform, and monitoring and observability tooling is desirable.
  • Experience in regulated environments and familiarity with HIPAA, SOC 2, or comparable security and compliance frameworks is desirable.
  • Ability to work onsite in the Palo Alto office three days per week.

Benefits

  • Competitive salary of $230,000–$280,000 plus equity and benefits.
  • Medical, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • Inclusive environment focused on creativity, innovation, and mission-driven work.

Salary: $230k - $280k/yr

Qualified Health PBC

Qualified Health PBC builds an enterprise AI platform for health systems, combining workflow automation, generative AI agent development, clinical safeguards, real-time monitoring, and end-to-end governance. The company sells software and partnership-based deployment services to drive measurable ...

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