Senior Software Engineer
Listed on 2026-05-18
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Software Development
Senior Developer, AI Engineer, Software Engineer, Cloud Engineer - Software
Brief Description
Company:
The mission of Well () is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience and world‑class data and analytics engine that drive engagement and behavior change. Our product — a consumer health engagement platform — integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members.
In addition to our product, we know our team makes us unique. We’re a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee‑ and member‑centric culture with generous benefits, which you can learn more about here:
Senior Software Engineer
Reporting ToEngineering Manager
LocationChapel Hill, NC;
Minneapolis, MN;
Boston, MA (Newton Office);
New York, NY
Senior Software Engineer 4 ($160,000–$180,000) depending on qualifications
Job SummaryUpon joining our team, you’ll help develop the world‑class technology platform at the heart of our engagement and behavior change platform, now enhanced by the power of AI. You’ll work with a diverse group of backend and frontend (mobile and web) developers, data scientists, and product managers to design, implement, and govern product features that reach the hands of millions of members.
In this role, you will be a technical anchor for Team Sirius, responsible for the forensic health of our high‑throughput services and the strategic integration of Large Language Models (LLMs) into our core platform. We are looking for an architectural leader who can navigate complex monorepo migrations and deep security refactorings while pioneering the next generation of intelligent healthcare features.
Key Responsibilities- Lead Architectural Evolution:
Design and implement highly scalable, event‑driven distributed systems and microservices. You will take ownership of long‑term technical health, ensuring our architecture remains performant and maintainable as we scale. - Productionalize AI/LLM Features:
Prototype and deploy LLM‑powered features to enhance the member experience. This includes developing "intelligent" services using Model Context Protocol (MCP) to connect our proprietary data with generative AI tools. - Perform Forensic Remediations:
Conduct deep‑dive technical analysis into legacy systems to identify and remediate architectural debt. You will serve as the lead during complex infrastructure transitions, such as monorepo optimizations and serverless environment migrations. - Identity & Security Stewardship:
Drive the adoption of advanced security protocols, including Multi‑Factor Authentication (MFA) and granular OAuth flows, ensuring member data is protected at the highest standards (e.g., NIST SP863B). - Technical Mentorship:
Act as a force multiplier for the team through rigorous, forensic code reviews and architectural consultations. You will help define the "Well Standard" for code hygiene, testing, and CI/CD excellence. - Scale Infrastructure:
Collaborate with Dev Ops to architect and maintain cloud infrastructure using Terraform, focusing on VPC security, cost‑reduction, and zero‑downtime deployments. - Professional Responsibility:
Take personal and professional responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines.
- Deep Systems Expertise: 7+ years of experience in software engineering with a focus on building and scaling high‑performance backend systems in a modern cloud environment.
- Advanced Type Script/Node.js:
Expert‑level proficiency in Type Script and Node.js, including experience with modern runtimes (Node 22+) and high‑performance tooling (e.g., Oxlint, esbuild). - LLM & Generative AI Proficiency:
Practical experience implementing LLM features in production. Familiarity with prompt engineering, vector databases, and frameworks like Lang Chain or Llama Index is required. - Distributed Systems…
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