Staff Engineer

Key Responsibilities

Technical Leadership & Architecture

• Lead architectural direction across domains and teams, making system-wide design decisions that enable us to scale the number of monitored patients by 2-3x— platform application performance, application reliability, and long-term technical risk
• Drive the evolution of our platform application architecture,  designing systems that present  complex, high-stakes patient cardiac data clearly across all clinical workflows
• Anticipate organizational and technical evolution and design systems that enable that evolution
• Guide teams through ambiguity, help set architectural standards, and be an exemplar of systems thinking across our technology infrastructure
• Shape the way teams think about quality by defining and evolving standards, identifying systemic patterns that reduce code health, and taking strategic action—recognizing that quality failures in this system can delay clinician review of cardiac alerts with direct patient safety implications
• Reduce the overall debugging burden by improving systems, structures, and diagnostic tooling that minimize time spent identifying and resolving problems across the application and the services it depends on

Strategic Impact & Product Partnership

• Act as a strategic product partner, helping define product direction by synthesizing feedback across teams and ensuring technical decisions align with long-term goals and the needs of critical clinic workflows
• Influence organizational priorities with deep understanding of customer needs—understanding how RNs, technicians, and electrophysiologists use our platform for transmission review, alert triage, and billing—ensuring decisions deliver exceptional user experiences
• Guide product stability and reliability as strategic initiatives, aligning system resilience with the clinical trust our customers place in our platform for patient monitoring
• Help bring clarity to complex tradeoffs, translating business needs into actionable priorities and uncovering hidden dependencies

Organizational & Process Excellence

• Scale good engineering practices across teams—including testing, code quality, and operational excellence—by identifying gaps and driving cultural change
• Architect simplicity into systems, teams, and processes, building mental models and shared expectations that help others work with clarity and economy
• Create conditions for high-performing delivery: clear priorities, unblocked paths, healthy rhythms, and visibility into progress

Leadership & Influence

• Model and drive an ownership culture through influence, designing systems that make accountability easier and more consistent across teams
• Model and scale healthy feedback culture beyond your immediate team, embedding feedback loops into systems and decision-making
• Make and communicate architectural decisions with clear reasoning that balances technical excellence, business pragmatism, and regulatory requirements

Collaboration & Communication

• Shape how teams collaborate at scale, creating conditions for healthy collaboration across groups, functions, and time zones in a fully remote engineering organization
• Act as a steward of organizational trust, anticipating relational friction and creating structures that help people relate across differences
• Lead and support incident response for production systems that clinicians rely on daily, improving diagnostic processes and shaping practices that reduce recurrence
• Articulate complex technical concepts and strategic vision to diverse audiences (engineers, product, executives, non-technical stakeholders)
• Build trust and productive relationships across organizational boundaries, including with clinical and customer-facing teams who depend on platform reliability
• Facilitate difficult conversations and driving alignment in high-stakes or contentious situations
• Strategic thinking skills that connect technical work to business outcomes and customer value

Qualifications

Technical Expertise

• 10+ years of software engineering experience, including 4+ years operating at a Staff or equivalent level
• Proven track record of architecting and scaling complex distributed systems in production environments serving significant user bases
• Deep expertise with full-stack SaaS architecture, including systems design, performance optimization, and reliability engineering
• Expert-level proficiency with Node.js, TypeScript, SQL (MySQL), and NoSQL (DynamoDB)
• Extensive experience with AWS services and cloud infrastructure at scale
• Mastery of software architectural patterns and ability to teach them across teams
• Strong background in building comprehensive testing strategies (unit, integration, end-to-end) and improving testing culture
• Deep understanding of reliability practices: observability, incident management, post-mortems, and proactive system health—particularly in environments where system downtime has direct patient impact
• Hands-on experience with AI-assisted development workflows and a thoughtful perspective on how AI changes engineering practices, quality assurance, and team norms
• Ability to evaluate AI tools and techniques critically—understanding where AI accelerates engineering and where it introduces risk—and to help the organization adopt AI responsibly
• Bachelor's degree in Computer Science or equivalent experience

Healthcare & Domain Experience

• Experience developing software in healthcare or other regulated environments with HIPAA compliance requirements (strongly preferred)
• Direct experience with healthcare interoperability standards such as HL7, FHIR, or experience working with EHR integration middleware
• Experience building clinician- or provider-facing web applications where clarity, trust, and usability directly affect patient care is a significant plus
• Experience presenting and interacting with data pulled from heterogeneous back-end sources in a clear, performant front-end
• Interest in the intersection of AI and clinical decision support — understanding both the potential and the regulatory/safety constraints of applying AI in healthcare contexts.

Additional Qualifications

• Experience in high-growth, fast-paced environments, particularly during periods of organizational scaling
• Customer-centric mindset with ability to balance user needs, business goals, and technical constraints
• Passion for building inclusive, collaborative engineering cultures where diverse perspectives strengthen outcomes