Staff Engineer, Revenue Cycle - sondermind

At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises.

Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram https://www.instagram.com/sondermind/?hl=en, Linkedin https://www.linkedin.com/company/sondermind/, and Twitter https://twitter.com/SonderMind?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor.

Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.

ABOUT THE ROLE

As a Staff Engineer, you’ll own end-to-end features across one or more of our backend services, agentic frameworks, AI Pipelines and front end. You’ll work under minimal supervision, troubleshoot complex problems, come up with innovative designs and optimizations and help shape our microservices architecture while collaborating closely with product, design, and QA.

You will work with high performance, mission critical tools and services. You do not need to have experience training or developing ML models/algorithms, but experience with them is a plus.

WHAT YOU’LL DO

• Design, build, and maintain scalable Ruby/Rails, TypeScript/Node, and Python services and RESTful or gRPC APIs that integrate with agentic GenAI systems
• Optimize MongoDB and PostgreSQL queries and service performance
• Collaborate with cross-functional squads to define

requirements

and deliver features

• You will work on AI Agents, MCP servers and various other AI enabled tools and frameworks and so must be comfortable working with ambiguity and rapidly evolving technologies
• Identify and drive process, architecture, and toolchain improvements
• Mentor junior engineers (code reviews, pair-programming etc)
• Serve as a technical lead for complex projects, balancing scope, risk, and not compromising deliverable quality.

WHAT DOES SUCCESS LOOK LIKE?

• 30 days: Ship a backend feature and demo it to the team