Sr. Software Engineer, Applications
$140,000–$180,000 year
RemoteUnited States
Job Summary
Design and deliver core application components, critical services, and integration layers using Python, Next.js, and modern backend patterns. Shape product capabilities end-to-end by partnering with Product to define features, then establish quality thresholds for correctness, latency, and reliability. Define best practices for AI-assisted development, including prompt strategies for coding agents and guardrails for AI-generated code. Build shared libraries, internal tooling, and scripts that standardize development and automate repetitive tasks. Own technical readiness for production through observability, performance tuning, and incident response preparedness while collaborating with Platform Engineering to ensure CI/CD consistency and secure data handling.
Required Qualifications
- 5+ years of professional software engineering experience
- demonstrated technical leadership
- Strong experience building and operating production distributed systems and backend services
- Strong proficiency in Python
- experience with Next.js/TypeScript for full-stack delivery
- Demonstrated daily-driver fluency with AI coding tools and agents (Claude Code, Cursor, GitHub Copilot, or similar)
- including effective context management, prompt strategies, and critical review of generated code
- Experience building or orchestrating agentic coding workflows (multi-step automation, MCP integrations, CI-integrated agents)
- Strong system design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
- Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
- Strong background in automated testing (unit, integration, e2e) and CI/CD tooling
- Ability to communicate technical concepts clearly to product, design, and executive stakeholders
- Experience in a healthcare SaaS environment
- Familiarity with multi-tenant architectures and enterprise access control models
Desired Qualifications
- demonstrated technical leadership
- experience with Next.js/TypeScript for full-stack delivery
- Demonstrated daily-driver fluency with AI coding tools and agents (Claude Code, Cursor, GitHub Copilot, or similar)
- including effective context management, prompt strategies, and critical review of generated code
- Experience building or orchestrating agentic coding workflows (multi-step automation, MCP integrations, CI-integrated agents) is a strong plus
- Strong system design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
- Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
- Strong background in automated testing (unit, integration, e2e) and CI/CD tooling
- Ability to communicate technical concepts clearly to product, design, and executive stakeholders
- Experience in a healthcare SaaS environment
- Familiarity with multi-tenant architectures and enterprise access control models
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