Staff Software Engineer, Proactive Communications

Ovii's Interpretation of the Role

As a Staff Software Engineer on the Proactive Communications team, you will design and scale a unified messaging platform that delivers timely, personalized outreach to members. You’ll partner with ML scientists, product, and design to embed predictive models, ensure high‑throughput reliability, and raise engineering standards across the stack.

Role Snapshot

• Lead architecture of a unified communications engine
• Integrate ML models into outreach workflows
• Define long‑term technical roadmap for proactive messaging
• Ensure high‑throughput, low‑latency delivery and observability
• Establish CI/CD, testing, and monitoring best practices
• Mentor senior and intermediate engineers
• Collaborate cross‑functionally with product, design, data science, and marketing

Must-Have Requirements

• Python
• TypeScript/Node.js
• AWS
• Containerization (Docker/Kubernetes)
• Distributed systems / microservices
• software engineering
• backend development
• distributed systems

Nice-to-Have Signals

• Twilio/Braze notification platforms
• ML model integration
• Infrastructure as Code (Terraform/CloudFormation)
• LLM or conversational AI experience
• HIPAA / regulated healthcare knowledge
• communication platform development
• ML model deployment
• regulated healthcare
• healthcare

Work Setup

• Location: San Francisco, USA
• Work mode: HYBRID
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Architect and scale a unified communications platform across SMS, email, push, and in‑app channels
• Define and drive the technical roadmap for proactive outreach, balancing delivery speed with future capabilities
• Partner with ML scientists to embed predictive models into messaging workflows
• Optimize system performance for reliability, observability, error handling, and privacy compliance
• Set up and evolve CI/CD pipelines, automated testing, and production monitoring
• Mentor engineers, conduct code reviews, and champion engineering standards
• Work closely with product, design, marketing, and data science to deliver cohesive solutions

Good Fit If You Have

• Interest or experience with Large Language Models or conversational AI
• Background building member‑facing communication platforms (SMS, push, email)
• Familiarity with regulated healthcare environments (HIPAA)
• Passion for distributed systems and scaling microservice architectures
• Experience collaborating with data science and product teams