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Senior Software Engineer - FullstackCurology • United States
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Senior Software Engineer - Fullstack

Curology
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Department: Engineering Level: Senior (IC) Reports To: Senior Engineering Manager Version Date: May 2026 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. Requirements 5–7+ years of experience in a full-stack, frontend, or backend software engineering role delivering production-ready code (majority backend; full-stack a strong plus). Hands-on experience designing, building, and operating microservices in a production distributed system. Hands-on experience with AWS infrastructure and/or DevOps-related tasks. Strong programming skills in TypeScript/Node.js, Python, SQL, JavaScript, and React (or similar modern front-end frameworks). Experience with architectural patterns of large, high-scale applications, including well-designed APIs, database schemas, and event-driven architectures. Working knowledge of both relational (e.g., MySQL/PostgreSQL) and NoSQL databases. Experience working collaboratively with cross-functional teams including design, product, and data science. Proficiency with automated testing, continuous integration, and modern engineering workflow practices. Builder mindset: hands-on, willing to jump in, explore the unknown, and make things happen on ambiguous, fast-moving projects. Demonstrated AI fluency: hands-on experience using enterprise AI tools in your engineering workflow to accelerate design, code generation, code review, debugging, and documentation. Strong judgment in AI-assisted work: a track record of critically reviewing AI-generated outputs before acting on them, and a clear point of view on where AI augments engineering versus where human oversight is non-negotiable.
Preferred: Experience with contract testing (Pact or similar) across service boundaries Experience in HIPAA-regulated environments with PHI handling requirements Familiarity with saga patterns, Step Functions, or orchestration testing Experience with service-oriented or microservices architectures Experience coordinating manual QA, including offshore teams
Nice to have: Familiarity with AWS-native tooling (EventBridge, SQS, Lambda, Step Functions) Experience testing e-commerce platforms. Exposure to testing subscription billing or payment processor integrations. Experience with observability tooling as part of a quality strategy Familiarity with feature flag testing strategies (LaunchDarkly or similar) Exposure to mobile testing surfaces (iOS/Android) in addition to web Location: Remote (Pacific Time Zone preferred) Benefits Competitive compensation and equity package (RSUs) Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k) ‍♀️ Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program Flexible paid time off and holiday policy Paid parental leave (birthing and non-birthing parents) Employee donation matching program ‍ Culture Committee and employee resource groups for virtual and in-person connectivity ✨ Complimentary VIP Subscription to Curology or Agency, plus online retail discount The estimated base salary range for this role is 150-180k plus a competitive equity package and benefits. Actual compensation will be determined based on several factors, including location, skills, experience, and job-related expertise. Our Typical Interview Process*: *Subject to change based on role 30 minute Recruiter screen (phone) 45-60 minute technical assessment (Live or take-home) 30 minute interview focused on values and team collaboration (Google Meet or Zoom) 30-45 minute final round interview with Hiring Manager or Team Leader (Google Meet or Zoom)
  • United States

Compétences linguistiques

  • English
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