Senior Director of Engineering

Computrition, Inc.

$150K — $180K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software development or related field
  • Strong understanding of enterprise software solutions
  • Proficient in programming languages relevant to our tech stack
  • Experience with software architecture and design patterns
  • Ability to work collaboratively in a team environment

Responsibilities

  • Develop and maintain enterprise management software solutions
  • Collaborate with cross-functional teams to define project requirements
  • Troubleshoot and resolve software issues in a timely manner
  • Participate in code reviews to ensure code quality and best practices
  • Document software design and development processes

Benefits

  • Comprehensive health benefits package
  • Opportunities for professional development and training
  • Flexible work schedule and work-from-home options
  • Employee wellness programs and initiatives
  • Collaborative and innovative work culture
Full Job Description
Job Information:
Senior Director of Engineering

Overview
• We are seeking a visionary Senior Director of Engineering to lead our R&D and software engineering teams as we build AI-enhanced healthcare solutions. This role requires a strategic, hands-on engineering leader with deep experience in intelligent automation, and managing distributed engineering organizations. You will be responsible for elevating engineering excellence, driving AI-first innovation, and enabling measurable improvements in productivity and product quality.

Strategic Technology Leadership
• Define and execute an engineering strategy aligned with our AI-first, automation-focused healthcare mission.
• Lead multi-disciplinary teams across application engineering, R&D/AI innovation, and DevOps/infra.
• Drive modernization and innovation within a .NET, C#, React, Oracle-based architecture.
• Partner with Product leadership to translate roadmap priorities into scalable, maintainable engineering plans.
• Build a long-term technology vision focused on reliability, usability, and intelligent automation.

AI, Automation & R&D Innovation
• Lead R&D initiatives for AI-driven insights, workflow automation, decision support, and productivity tools.
• Oversee prototyping, experimentation, and rapid iteration for AI-enhanced features.
• Guide integration of AI/ML capabilities into the product in partnership with Product.
• Support model operationalization using practical, lightweight deploy/monitor frameworks.
• Ensure AI capabilities meet healthcare requirements around accuracy, auditability, privacy, and compliance.

Engineering Operations & Metrics
• Implement engineering KPIs: velocity, cycle time, defect rate, MTTR, release stability, and code quality.
• Build dashboards to track engineering productivity, release predictability, and quality trends.
• Drive improvements in CI/CD automation, test automation, environment consistency, and DevEx.
• Champion automation across build, test, deployment, and maintenance operations.

Architecture, Software Quality & Reliability
• Set high standards for code quality, maintainability, performance, and test coverage.
• Strengthen architectural governance within a monolithic or modular .NET architecture.
• Drive modernization and technical debt reduction.
• Ensure secure and compliant development aligned with HIPAA, SOC 2, and healthcare data standards.

Distributed Team Leadership & Culture
• Build and inspire distributed engineering teams across time zones.
• Promote collaboration, async communication, and strong remote culture.
• Mentor engineering leaders and grow a robust succession pipeline.
• Foster psychological safety, innovation, diversity, and execution excellence.

Qualifications
• 12+ years software engineering experience; 7+ years leading engineering organizations.
• Deep experience with .NET, C#, React, and enterprise relational databases (Oracle preferred).
• Strong ability to lead teams in an enterprise architecture.
• Experience integrating AI/ML and automation into production systems.
• Strong DevOps and CI/CD background.
• Understanding of HIPAA, FHIR, HL7, and healthcare compliance.
• Excellent leadership and communication skills.

Success Indicators
• Improved engineering velocity, predictability, and release quality.
• Delivery of AI- and automation-driven capabilities.
• Increased automation and reduced manual overhead.
• Higher team engagement
• Reduced technical debt and stronger system reliability.
• A forward-looking technology roadmap aligned with company goals.

Business Unit:
Computrition
Scheduled Weekly Hours:
40
Number of Openings Available:
1
Worker Type:
Regular

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