Responsibilities
- Design, build, and own backend services and APIs that power the core product.
- Model data and design systems that stay reliable, fast, and cost-efficient as usage grows.
- Set technical direction for major backend areas; raise the bar on quality, observability, and operational health.
- Partner with client, ML, and product to deliver features end to end.
- Mentor other engineers and improve how the team builds.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of software engineering experience, with significant time building backend/server systems
- Strong grasp of distributed systems, data modeling, APIs, and service reliability
- Track record of designing and shipping backend systems at scale
- Experience leading the technical direction of a project and working independently with limited guidance
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience taking a new product backend from 0→1
- Experience with high-throughput, low-latency systems or social/consumer-scale data
- Experience partnering closely with ML/recsys systems
$219,000/year to $301,000/year + bonus + equity + benefits
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