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Software Engineer

$130k - $170k
Full-time

Deep End Talent Strategies

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: nine specialty labs matched to specific case types, no-cost digital scanning equipment, a portal to track every case and manage every invoice in one place, and a clinical support team on every case. More than 600 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 will contribute to the buildout and scale of the B2B SaaS portal, infrastructure, and data products that are the connective glue for our organization. Jump in on this new and modern codebase to rapidly deliver business 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. In this role, you will have an excellent chance to learn from senior engineers on a modern codebase and immerse yourself in world-class startup agile practices. 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 Build and deploy scalable, secure cloud infrastructure on AWS, leveraging services such as ECS/EKS, Lambda, RDS, S3, and CloudFront as appropriate 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 engineers, and help enforce 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 3+ years of professional software engineering experience, with demonstrated ownership of production systems Experience 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 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: 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 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 $130,000–$170,000 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

Vacancy posted 4 days ago
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