Staff Software Engineer, Proactive Communications

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.

Who You Are

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 TypeScript/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.

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 CloudFormation.
• Regulated Industry Knowledge: Experience working within healthcare (HIPAA) or other highly regulated environments involving sensitive member data.