Senior Software Engineer

Our client, Incisive, is growing again!

About Incisive

Incisive is building a better model for restorative dentistry. Independent practices are under pressure: lab consolidation is accelerating, digital dentistry has arrived but most practices are only halfway there, and building a complete workflow alone is expensive, slow, and isolating.

We solve that through one partnership: curated labs matched to specific case types, no-cost digital equipment, a portal to track every case and manage every invoice in one place, and a clinical support team to help. More than 650 doctors nationwide trust us, we retain over 95% of them year over year, and we're growing fast. If you have high standards and want to do work that compounds, you'll fit right in.

The Opportunity

We're hiring a builder, not a maintainer. You'll design and scale the B2B SaaS portal, infrastructure, and data products that are the connective glue for our organization. Jump in on this new and modern code base to rapidly deliver business and value.

This role is AI-native. Our team heavily adopts AI across all product development disciplines to deepen our impact and drive aggressive growth. Our tech stack is six months old and well-architected, with test coverage, observability, and CI/CD to allow for rapid onboarding and reduce developer time-to-value.

What You'll Do

Design, build, and maintain full-stack applications using React on the frontend and Python on the backend, with PostgreSQL as the primary data store

Architect and deploy scalable, secure cloud infrastructure on AWS, leveraging services such as ECS/EKS, Lambda, RDS, S3, and CloudFront as appropriate

Define and maintain Infrastructure as Code (IaC) using tools like Terraform to ensure reproducible, version-controlled environments across dev, staging, and production

Build and maintain CI/CD pipelines with GitHub Actions to automate testing, builds, and deployments

Practice Test-Driven Development (TDD), writing unit, integration, and end-to-end tests before or alongside implementation to ensure high code quality and confidence in releases

Apply Spec-Driven AI Development practices — writing clear, structured specifications that guide AI coding assistants (e.g., Claude Code) to accelerate implementation while maintaining code quality and architectural consistency

Collaborate with product managers, designers, and other engineers to translate business requirements into well-scoped technical specs

Conduct code reviews, mentor junior and mid-level engineers, and help establish engineering best practices

Monitor application performance and reliability in production, using observability tools to proactively identify and resolve issues

Participate in architectural decisions, balancing scalability, maintainability, and delivery speed

Design and implement systems that handle Protected Health Information (PHI) and Personally Identifiable Information (PII) in full compliance with HIPAA and other applicable data privacy regulations, incorporating encryption at rest and in transit, access controls, and audit logging by default

What You'll Bring

7+ years of professional software engineering experience, with demonstrated ownership of production systems

Strong proficiency in React (hooks, state management, component architecture) and Python (e.g., FastAPI, Django, or Flask)

Solid experience with PostgreSQL, including schema design, query optimization, and migrations

Hands-on experience with AWS cloud services and cloud architecture best practices

Proven experience with Infrastructure as Code tools (Terraform, CDK, CloudFormation, or similar)

Experience building and maintaining CI/CD pipelines

Demonstrated experience building and maintaining applications that securely handle PHI and/or PII, with working knowledge of HIPAA, SOC 2, or similar compliance frameworks and how they shape architecture, data storage, and access decisions

Strong understanding of and commitment to Test-Driven Development and automated testing practices

Experience using AI coding tools within a spec-driven workflow, with an ability to write precise, unambiguous technical specifications

Excellent written communication skills — critical for a remote, distributed team

Comfortable working independently and asynchronously in a fully remote environment

Bachelor's degree in Computer Science or equivalent practical experience

Bonus if you have

• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with security best practices for cloud-native applications
• Experience with observability/monitoring stacks (Datadog, CloudWatch, Grafana)
• Prior experience in a fully remote, async-first engineering culture

What We Offer

• $160,000–$200,000 base salary, commensurate with experience
• 20% target bonus
• Meaningful equity participation in a PE-backed growth story
• Fully remote within the United States

Unlimited PTO

• Medical, dental, vision benefits
• 401k with company match