Senior Backend Engineer (Staff)
SafetyKit - San Francisco | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Early From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Backend Engineer (Staff) San Francisco | OnSite We're building the future of enterprise B2B SaaS with AI agents. We operate at the scale of our customers with 1% of the resources. That requires precision, good judgement, and a sense of daring. We care as much about model productivity as we do human productivity. As a software architect, you're responsible for both. We work exclusively with AWS Serverless products (Lambda, Step Functions, RDS Aurora). We're obsessed with scaling without toil. We love AWS CDK. We really, really love it. We work in Typescript and a tiny amount of Python, but we try not to be precious about these things. Responsibilities - Design and build scalable, high-performance infrastructure. - Design architectures that allow both engineers and language models to quickly create, test, and deploy application code. - Create reliable monitoring, logging, and alerting systems to ensure platform stability and performance - Mentor teammates and lead technical decision-making across the organization - Collaborate with AI and product teams to translate complex requirements into elegant technical solutions - Drive engineering best practices, including code reviews, testing strategies, and documentation - Use codegen models to move 10x faster than you did two years ago About you - You love language models. - You have the patience to be rigorous. - You act like an owner in everything you do. - People tell you you pick things up unusually quickly. - You love the weird little details of life in our customer's companies. - You
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