Staff Software Engineer, Proactive Communications

Hinge Inc.
San Francisco, CA, United States
4 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Business Logic Automation of Tests Big Data Code Review Continuous Integration Data Integration Distributed Systems Human-Computer Interaction Push Technology Python (Programming Language) Machine Learning
+15 more
Node.Js Performance Tuning Software Engineering Twilio TypeScript Chatbots Large Language Models Reliability of Systems Backend Cloudformation Containerization Low Latency Machine Learning Operations Terraform Microservices

Job description

  • 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.

Requirements

  • A Technical Visionary: You excel at navigating ambiguity and can translate complex business goals into scalable, long-term technical architectures.
  • A β€˜Learn-it-all’: You are passionate about distributed systems and ML integration, constantly seeking new ways to leverage technology (like LLMs) to solve user problems.
  • A Force Multiplier: You don’t just write code; you elevate the entire team through mentorship, code reviews, and by establishing engineering standards that reduce friction and improve quality.
  • A Cross-Functional Partner: You thrive in a multidisciplinary environment, collaborating effectively with Data Science and Product to deliver cohesive solutions., * 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., * 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.

Hybrid Work Model

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.

Benefits & conditions

  • Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
  • Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
  • Modern life stipends: Manage your own learning and development.
  • Ownership: Grow with us through discounted company stock through our ESPP with easy payroll deductions., Compensation Range: $197.6K - $296.4K #J-18808-Ljbffr

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