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Important information
Contract type:
Permanent
Salary:
$12,000 – $18,000 / year
Location:
Metro Manila, Philippines
Work mode:
Remote
Published on:
10 September 2026
What they need
About the role
Mission
Turn 10xSearch from a large AI-built platform into a coherent, secure, economical white-label product that can be operated reliably and scaled through measured fleet trials.
Key responsibilities
- Establish the canonical production architecture, repository, data model, and release path
- Freeze and harden the three highest-value end-to-end client workflows
- Close gaps in tenant isolation, integrations, testing, recovery, security, and capacity
- Consolidate or retire duplicate queues, surfaces, scripts, and pipelines
- Own production releases, canaries, rollbacks, migrations, incident response, and disaster recovery
- Enforce provider quotas, cost budgets, idempotency, backpressure, and operational telemetry
- Direct AI coding agents through bounded tickets and rigorously review their output
- Translate product and content requirements into executable acceptance contracts
- Produce an evidence-backed assessment of 1,000-client capacity and unit economics
- Create a technical roadmap that clearly separates platform hardening from new feature development
About you
- Eight or more years building production software, including senior, staff, or principal-level responsibility
- Personally shipped and operated a multi-tenant B2B SaaS product
- Strong TypeScript, Next.js, Python, FastAPI, Postgres, SQL, and row-level security experience
- Proven judgment in multi-tenant architecture, tenant isolation, secrets management, least privilege, security, and auditability
- Deep experience with durable queues, leases, retries, idempotency, dead-letter handling, backpressure, and ambiguous-write recovery
- Experience managing external-provider quotas, throttling, failures, and cost controls
- Disciplined ownership of database migrations, production observability, incident response, rollback, and disaster recovery
- Hands-on experience with load, soak, integration, and end-to-end testing
- Effective use of AI coding agents without lowering engineering or review standards
- Demonstrated willingness to simplify inherited systems and remove unnecessary duplication
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