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Backend Engineer

Mem0 - San Francisco Bay Area | OnSite

Posted Jun 10, 2026

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
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Backend Engineer San Francisco Bay Area | OnSite Role Summary: Own the backend that powers Mem0's memory platform. You'll design clean REST APIs, model data across relational and graph stores, and operate services in production. When customers hit issues, you'll chase them down to root cause, ship fixes, and harden the system-while collaborating tightly with frontend and research to deliver fast, reliable features. What You'll Do: - Design & ship REST APIs: Define contracts, versioning, auth, rate limits; write migrations and docs. - Model data & schemas: Relational (Postgres) and graph (e.g., Neo4j); enforce integrity and performance. - Debug customer issues end-to-end: Trace with logs/metrics/traces, reproduce, fix, and write preventative guardrails. - Optimize performance: Tune slow SQL with EXPLAIN/ANALYZE, indexes, partitioning, pagination, and caching (e.g., Redis). - Build services in Python: Async where it helps (FastAPI/Starlette, Django/DRF, Flask), background jobs, queues, schedulers. - Operate in the cloud: Containerize with Docker, deploy on Kubernetes (EKS), and use AWS primitives (EC2, RDS/Aurora, S3, IAM). - Instrument everything: Custom metrics, structured logging, tracing; set SLOs and alerts (CloudWatch/Prometheus/OpenTelemetry). - Collaborate & ship: Work with frontend and research to scope APIs and deliver features to production. Minimum Qualifications - 3+ years building backend systems and shipping REST APIs to production. - Strong Python fundamentals; experience with async programming and a major web framework (FastAPI/Django/Flask). - Solid data modeling and SQL skills; hands-on with query tuning and performance debugging in Postgres/MySQL. - Experience with graph databases (e.g., Neo4j or Amazon Neptune) and appropriate data modeling

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