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Software Engineer, Cloud Engineer - Software, AI Engineer

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Hinge Health
Part Time, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer

About The Role

Hinge Health is a digital health company focused on providing innovative, evidence-based solutions for musculoskeletal (MSK) pain. Through a combination of personalized exercise therapy and virtual care, Hinge Health helps individuals manage and reduce chronic pain, improving their quality of life while lowering healthcare costs. The company partners with employers and health plans to offer these solutions at scale, improving overall employee health and productivity.

Our Proactive Communications initiatives focus on building the intelligence and infrastructure to connect with our members at the right time, with the right message, through the right channel. This position is mission‑critical for driving member engagement and health outcomes, moving beyond generic notifications to create delightful interactions that guide members through their recovery journey.

What You’ll Accomplish
  • Architect the Communications Engine:
    Lead the design and scaling of a unified communications platform that orchestrates member outreach across multiple channels (SMS, email, push, in‑app) with high throughput and low latency.
  • Drive Technical Strategy:
    Define and guide the long‑term technical roadmap for proactive outreach in partnership with product and engineering leadership, balancing immediate delivery with the flexibility to support future capabilities like Conversational AI.
  • Integrate Intelligent Interventions:
    Partner with ML scientists to architect systems that integrate proprietary models into communication workflows, ensuring outreach is triggered by predictive member behaviors and needs rather than static rules.
  • Ensure System Reliability & Scale:
    Optimize system performance to ensure the reliability and deliverability of member‑facing messages, maintaining high standards for observability, error handling, and member privacy.
  • Elevate Engineering Practices:
    Establish and evolve best practices for CI/CD, automated testing, and monitoring for both software services and ML model performance in production.
  • Mentorship &

    Collaboration:

    Mentor senior and intermediate engineers, fostering a culture of technical excellence. Build strong cross‑functional partnerships across Product, Design, Marketing, and Data Science to translate engagement goals into scalable technical solutions.
Hinge Health Hybrid Model

We believe that remote work and in‑person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog‑friendly workplace program.

Basic

Qualifications
  • 8+ years of non‑internship full‑time professional software engineering experience, with at least 2 years working on high‑scale distributed systems or communication platforms
  • 2+ years of experience in Python (backend/data integration) and Type Script/Node.js (services)
  • 2+ years of experience with cloud platforms (AWS preferred) and containerization tools
  • 2+ years of experience working in distributed systems, microservices architectures, and large‑scale data processing
  • 2+ years of experience in mentoring and leading junior team members, collaborating effectively with cross‑functional teams, and contributing to project planning and decision‑making
Preferred Qualifications
  • Communication Systems Expertise:
    Experience building or maintaining member‑facing communication platforms (SMS, Push Notifications, Email) and familiarity with tools like Twilio, Braze, or internal notification engines
  • ML Integration:
    Experience building systems that deploy or consume ML models in production environments to drive business logic or user engagement
  • Conversational AI:
    Interest in or experience with Large Language Models (LLMs) or conversational agents as a channel for user interaction
  • Infrastructure as Code:
    Knowledge of tools like Terraform or Cloud Formation
  • Regulated Industry Knowledge:
    Experience working within healthcare (HIPAA) or other highly regulated environments involving sensitive member data
  • Excellent communication skills, both written and verbal, with the ability to…
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