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Spring Health
San Francisco, CA (Hybrid)
Source: Spring Health careers · View original posting
From Spring Health's posting. “We” and “our” refer to the employer.
Our mission: e liminating every barrier to mental health.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.
Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.
Reporting to the Engineering Manager - Search & Matching, this Senior Software Engineer II will be responsible for enhancing and optimizing the search and matching experience within Spring Health’s Alma product. As part of the Alma Search & Matching pod, you will help clients find the right provider and begin their care journey as quickly and seamlessly as possible. This role is - is instrumental in eliminating barriers to mental health care by building high-quality, scalable experiences that connect clients with the right care.
Please note that this is a hybrid role based in San Francisco
, with an expectation to be in the office 2–3 days per week at our 44 Montgomery Street location. Candidates must be based in the San Francisco metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites.
Technical Excellence –
Your architecture solutions are exemplary in terms of efficiency, stability, extensibility, and ability to evolve. Your software is robust in the presence of failures, scalable, and cost-effective.
AI-Augmented Engineering –
You actively integrate AI into your workflow and your team’s—evaluating tools, establishing quality standards, and helping teammates use AI effectively and responsibly.
Cross-Team Impact –
You solve complicated problems across service domains, coordinate with other teams as needed, and routinely reduce complexity for the engineers around you.
Project Leadership –
You drive and complete large, complex projects end-to-end with high stakeholder satisfaction—sometimes leading more than one initiative at a time.
Engineering Excellence –
Your code reviews make the overall codebase better. You proactively simplify, refactor, and improve—accounting for the full project lifecycle including continuous improvement.
Mentorship & Org Health –
You make your superpod more effective through significant contributions to individuals’ growth and engineering efficiency. Junior and mid-level engineers seek you out for guidance.
Operational Leadership –
You lead investigations calmly under pressure, with clear direction and communication to stakeholders throughout.
The target base salary range for this position is
$207,000 - $233,000
, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using
Radford Global Compensation Database at minimum to ensure competitive and fair pay.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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