Curology
Curology

Senior Software Engineer - Fullstack

engineeringUnited States
SALARY
Not specified
WORK TYPE
remote
JOB TYPE
Full-time
INDUSTRY
healthcare
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About the role

About Curology

Curology’s mission is to make effective, personalized skincare accessible. We were founded by dermatologists who believe everyone should have access to skincare products that actually work. Today, our licensed dermatology providers have helped millions of patients across all 50 states make that mission a reality. We combine expert medical care with personalized prescription formulas and dermatologist-developed skincare essentials to deliver science-backed solutions that meet people where they are. Join us in our mission to transform skin health and enhance lives—one patient at a time.

Mission of the Role

The mission of the Senior Software Engineer is to architect and deliver high-quality, reliable solutions to Curology’s most critical technical challenges—playing a central role in evolving our platform from a monolithic system into a scalable constellation of microservices. Reporting to the Senior Engineering Manager, this role spans both patient-facing applications and internal tools that support business scale. Success requires the judgment to move quickly without sacrificing quality, the rigor to own outcomes end-to-end, and the technical leadership to raise the bar for the engineers around you. The ideal candidate ramps fast, contributes to production code early, and brings deep backend expertise paired with the curiosity to operate across the stack.

Essential Functions and Impact Areas

Platform Migration & Architecture

  • Lead the migration of services from our monolithic codebase to a distributed microservices architecture—designing for scalability, reliability, and long-term maintainability.
  • Design and build microservices that integrate cleanly into our broader distributed system, with strong attention to observability and fault tolerance.
  • Apply sound architectural patterns across APIs, database schemas, and event-driven systems—making decisions that won’t box the team in as we scale.
  • Anticipate where architectural decisions create downstream risk, raise them early, and bring a concrete path forward.

Engineering Execution & Delivery

  • Deliver production-ready code at a high cadence—contributing meaningfully within the first 30 days and sustaining that pace as scope grows.
  • Write advanced, adaptable code that captures the core essence of the solution and holds up as requirements evolve.
  • Identify and resolve production issues—individually or as part of a team—and take technical ownership of the health of systems you touch.
  • Distinguish reversible from irreversible decisions and act accordingly: move fast where it’s safe to, slow down where it matters.

Cross-Functional Partnership

  • Serve as a technical partner in cross-functional settings—representing the engineering perspective to technical and non-technical audiences with clarity.
  • Work collaboratively with product, design, and data science to ship solutions that meet patient and business needs.
  • Communicate progress, blockers, and risks proactively—not at the deadline.

Mentorship & Technical Standards

  • Mentor and coach mid-level and senior engineers—helping them grow their craft through direct feedback, pairing, and code review.
  • Role model high technical, cultural, and process standards: quality is the baseline, not the goal.
  • Continuously build and share domain expertise—turning what you learn into leverage for the team.

AI-Augmented Engineering

  • Actively use AI tools (e.g., ChatGPT, Claude, Gemini) to accelerate design, code generation, debugging, and documentation—with a clear point of view on where AI helps and where human judgment is non-negotiable.
  • Review AI-generated outputs critically before acting on them—take personal accountability for everything you ship, regardless of how it was produced.
  • Share what’s working and what isn’t with your team—AI fluency grows collectively, not just individually.
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