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Cadence Solutions

Engineering Manager

Cadence Solutions

. Define and drive the technical vision and architecture for Cadence's Clinical Intelligence platform, balancing AI innovation with clinical safety, reliability, and explainability .

Posted 11/1/2026full-timeRemote • United StatesMid-LevelSenior💰 $230,000 - $280,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining technical vision and architecture for AI-powered clinical systems, with a strong focus on safety, reliability, and regulatory compliance. Proven ability to lead and mentor engineering teams while driving innovation in healthcare technology.

Highest-signal resume keywords
AI-Powered Clinical WorkflowsCloud Infrastructure (AWS or GCP)Backend Development (Go)People ManagementTechnical Strategy Presentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI System DevelopmentArchitecture ReviewsRelational Databases (Postgres or MySQL)Messaging Systems (SQS or Kafka)Prompt EngineeringLLM APIsTesting StrategiesValidation ProcessesContinuous Improvement
Soft Skills
MentoringCollaborationLeadershipCommunicationQuality Ownership
Industry Keywords
HealthcareEnterprise SaaSRegulated IndustryClinical Decision SupportMedication Recommendation Systems

Tech Stack

Tools & technologies
AWSCloudGoogle Cloud PlatformKafkaMySQLPostgresGo

About the role

Key responsibilities & impact
  • Define and drive the technical vision and architecture for Cadence's Clinical Intelligence platform, balancing AI innovation with clinical safety, reliability, and explainability
  • Partner with clinical, product, design, and AI teams to shape the roadmap for clinician-supervised decision support and medication recommendation systems
  • Lead development of AI-powered clinical workflows combining patient data, evidence-based protocols, deterministic safety rules, and clinician oversight
  • Hire, mentor, and grow a team of AI, backend, and full-stack engineers
  • Own the design, development, and operation of services, infrastructure, and evaluation frameworks powering medication recommendation and clinical decision support engines
  • Establish engineering standards, testing strategies, observability, and validation processes for clinical correctness, system reliability, and regulatory readiness
  • Drive a culture of quality, ownership, and continuous improvement across the engineering team

Requirements

What you’ll need
  • 5+ years of experience in software engineering, including 2+ years in a people management role
  • Experience leading development of complex software products from 0 to 1, preferably within healthcare, enterprise SaaS, or another regulated industry
  • Experience presenting technical strategy to executive stakeholders and engaging directly in architecture and code reviews
  • Experience building backend systems using modern cloud infrastructure (AWS or GCP), relational databases (Postgres or MySQL), and messaging systems such as SQS or Kafka
  • Experience with Go
  • Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production

Benefits

Comp & perks
  • Competitive pay & equity*
  • Fully remote
  • Comprehensive health coverage: Medical, dental & vision
  • Paid time off
  • 401k plan + matching
  • Paid parental leave
  • Home office stipend
  • *benefit offerings may vary depending on job profile, job level and worker type