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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 .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSCloudGoogle 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