[Hiring] Senior Full Stack Engineer @Forager

Role Description

We’re seeking a Senior Full Stack Engineer to help drive the evolution of our platform—building robust web applications, APIs, and data systems that power our products. This role is a global opportunity that requires a 4 hour overlap with US Mountain Time.

What You'll Build:

• Build and operate the systems that deliver Forager.ai's people and organization data to platform customers at scale.
• Real-time enrichment APIs — person/org lookup, contact data, reverse search for waterfall platforms.
• Bulk data feed delivery — maintain the Snowflake service delivering billions of data points daily to Data Feed customers.
• Elasticsearch search infrastructure — indexing, query design, relevance tuning, and cluster scaling for person/company search and filtering APIs.
• ETL pipelines — workers, task queues, and transformations moving data into APIs and feed exports.
• Customer-facing web app and developer experience — React/TypeScript app, docs, onboarding flows, and self-serve surfaces.
• Compliance and observability — data-sourcing proofs, GDPR/PII handling, and scoreboard metrics for each Data Quality dimension.

Qualifications

• 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.

Requirements

• 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 — knowing when to delegate to an agent, when to write the code yourself, and how to keep an agent on rails for production work.

Nice to Have

• Experience with Snowflake or other data warehouses.
• Background in B2B data products — enrichment, contact data, company data, search/discovery.
• Experience with web crawling, data sourcing, or large-scale ingestion systems.
• Open-source contributions or public technical writing.

Benefits

• Remote first culture.
• Unlimited PTO.
• Competitive salary and benefits package.
• Work in a fast-paced, collaborative, and supportive environment.
• Opportunity to grow and advance your career.
• Opportunity to be on the ground floor of a fast-growing startup.