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Qualified Health

Principal Backend Engineer

Qualified Health

. Define and drive the long-term technical direction for core backend systems and services .

Posted 10/9/2026full-timePalo Alto • California • United StatesLead💰 $230,000 - $280,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting and operating complex backend systems with a focus on scalability, security, and performance. Proven ability to mentor technical leaders and drive engineering initiatives in cloud-native environments.

Highest-signal resume keywords
Distributed Systems ArchitectureCloud-Native Application DesignPython ProgrammingAWS, GCP, or Azure ExperienceGenerative AI Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend Programming LanguageAPI DesignData ModelingAsynchronous ProcessingInfrastructure AutomationPerformance OptimizationScalabilityFault ToleranceConcurrencyTechnical Standards Development
Soft Skills
MentorshipProblem-SolvingCollaborationTechnical LeadershipCommunication
Tools & Technologies
Google Cloud PlatformKubernetesTerraformMonitoring ToolsObservability Tooling
Certifications & Qualifications
HIPAA ComplianceSOC 2 Compliance
Industry Keywords
HealthcareFinancial ServicesData PrivacySecurity RequirementsEnterprise SaaS

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPythonTerraform

About the role

Key responsibilities & impact
  • Define and drive the long-term technical direction for core backend systems and services
  • Establish architectural principles and guide technology decisions supporting scalability, security, reliability, and sustainable growth
  • Identify and lead complex engineering initiatives spanning multiple teams
  • Build alignment around technical priorities and resolve architectural disagreements
  • Drive initiatives from early design through successful production operation
  • Design, implement, and review critical backend infrastructure components
  • Foster an AI-first culture through high-quality code, thoughtful system design, and deep technical problem-solving
  • Architect resilient distributed systems, APIs, data services, and asynchronous workflows
  • Establish practices improving system reliability, observability, performance, and operational efficiency
  • Partner with Platform and Infrastructure teams on service-level objectives, capacity planning, incident prevention, and systemic improvements
  • Mentor Senior and Staff engineers and develop emerging technical leaders
  • Collaborate with engineering, product, and business leadership on technical investments, build-versus-buy decisions, architectural trade-offs, and platform sustainability

Requirements

What you’ll need
  • Demonstrated track record of architecting, building, and operating complex, large-scale backend or platform systems in production, with measurable technical and business impact
  • Deep expertise in distributed systems, including service architecture, data consistency, concurrency, fault tolerance, scalability, and performance optimization
  • Expert-level proficiency in at least one modern backend programming language
  • Ability and willingness to work extensively in Python
  • Strong experience designing and operating cloud-native applications on AWS, GCP, or Azure
  • Understanding of infrastructure automation, deployment practices, and production operations
  • Deep understanding of API design, data modeling, databases, asynchronous processing, and modern backend architectural patterns
  • Ability to navigate ambiguity, independently identify important technical problems, and translate complex requirements into pragmatic, scalable engineering solutions
  • Demonstrated ability to improve engineering effectiveness through architectural simplification, reusable systems, mentorship, and technical standards
  • Ability to work on-site in the Palo Alto office three days per week
  • Experience designing, building, or operating production generative AI applications, LLM-powered workflows, or AI infrastructure
  • Experience building multi-tenant enterprise SaaS platforms with strong requirements for security, isolation, scalability, and availability
  • Experience with Google Cloud Platform, Kubernetes, Terraform, and modern monitoring and observability tooling
  • Experience building systems in regulated environments, including healthcare, financial services, or other industries with stringent data privacy and security requirements
  • Familiarity with HIPAA, SOC 2, or comparable security and compliance frameworks
  • Experience establishing technical foundations, engineering standards, and architectural direction in rapidly growing organizations
  • Legal authorization to work in the United States for any employer without requiring sponsorship now or in the future

Benefits

Comp & perks
  • Equity packages
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flexible working hours
  • Hybrid work options
  • Inclusive environment that fosters creativity and innovation