Senior Full Stack Engineer (Python/React)
New
F
ForagerWorkforce data
Mexico City, Mexico City, Mexico. São Paulo, State of São Paulo, Brazil. Buenos Aires, Buenos Aires, Argentina. Antioquia, Colombia. Kyiv, Kyiv city, Ukraine. Warsaw, Masovian Voivodeship, Poland, 4 hour overlap with US Mountain TimeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonDjangoElasticSearchRabbitmqSnowflakeTypeScriptRedisReactCI/CDGitHub Actions
Requirements
- 5+ years building and operating production web applications and APIs
- Strong proficiency in Python / Django and React / TypeScript
- Hands-on experience operating Elasticsearch at scale — schema design, query tuning, cluster management
- Production experience with PostgreSQL, Redis, and async task systems (Celery / RabbitMQ or equivalent)
- Demonstrated track record building and operating ETL pipelines that move significant data volumes reliably
- Comfortable with AWS (ECS, S3, CloudWatch) and CI/CD pipelines (GitHub Actions or equivalent)
- Experience operating services in production — observability, on-call, incident response
- Strong written communication; comfortable owning documentation as a deliverable
- Strong, hands-on fluency with AI coding tools (Claude Code, Cursor, Copilot, or equivalent) used daily for implementation, refactoring, and code review
- Agentic workflows — designing, orchestrating, and debugging multi-step agent pipelines
- Judgment about where AI helps vs. hurts
Responsibilities
- Build and operate the systems that deliver Forager.ai's people and organization data to platform customers at scale
- Build and maintain Forager's customer-facing web app (React, TypeScript, Django/Python)
- Implement and maintain RESTful APIs for integrations, feeds, and platform customer workflows
- Develop scalable backend services — workers, task queues, data pipelines
- Participate actively in product planning; help shape which features have the highest customer impact
- Build and operate Elasticsearch indices for people/company search
- Design and operate ETL applications moving data into searchable stores, feeds, and warehouses (Snowflake, S3)
- Optimize PostgreSQL — query performance, indexing, cache utilization
- Own day-to-day AWS infrastructure (ECS, S3, etc.) alongside DevOps
- Operate CI/CD, observability (Grafana, CloudWatch, Sentry), and on-call response for the surfaces you build
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