Über
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. 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. 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. 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. 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 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
Sprachkenntnisse
- English
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