Senior Software Engineer

Our client, Incisive, is growing again! About Incisive Incisive is a dental lab network built for restorative and surgical practices. We give practices access to nine curated specialty labs — covering crown & bridge, implants, full arch, ortho, removable, and elite esthetics — alongside no-cost digital scanning equipment, a single software platform, and a clinical support team that sits between the practice and every lab. Practices get the quality of multiple vetted labs with the simplicity of one partnership, one invoice, and one team accountable for every case. We're PE-backed (Lock 8 Partners), trusted by 600+ doctors nationwide, and growing fast — with a 95%+ annual retention rate that reflects the outcomes we deliver. 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