Software Engineer: Backend & Infrastructure

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer: Backend & Infrastructure San Francisco Office ABOUT THE ROLE Your role, should you choose to join us, will be as an Infrastructure / Backend Engineer on our founding team. You're the right person for this role if you're excited to build not just robust systems, but help shape the technical backbone of a category-defining company from day one. You're a great fit if you're known for making infrastructure elegant, reliable, and secure - even under demanding workloads. You find energy in scaling systems that power intelligent agents, and you take pride in building foundations others can depend on. Your responsibilities will include: - Designing and maintaining secure, scalable infrastructure for AI-powered agents in production - Deploying and optimizing AI-heavy services with high availability and performance requirements - Managing infrastructure as code, cloud environments, and CI/CD pipelines - Implementing monitoring, observability, and alerting to ensure system reliability - Contributing to infrastructure security and best practices You likely have: - Experience deploying and productionizing ML or AI-heavy workloads - Expertise in building secure, scalable systems on platforms like AWS, Azure, or GCP - Deep knowledge of backend systems, networking, and container orchestration (e.g., Kubernetes) - Familiarity with infrastructure security principles and compliance (e.g., SOC2) - The mindset of an owner: proactive, hands-on, and driven to solve problems end-to-end COMPENSATION - The rare opportunity to join a formidable team to build an enduring company, in person, as a first 20 employee - Competitive compensation - Significant equity upside - Medical /

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