Source description
About the role
Equivalent of 8+ years of professional software engineering experience with significant focus on backend platform, integrations, or data infrastructure - including hands-on responsibility for systems running in production at scale.
Track record of leading cross-team or org-wide technical initiatives from conception through production, including the soft work of building consensus and unblocking other engineers
Proven experience deploying and operating production backend systems at scale
Strong proficiency in Python, including production experience with FastAPI, Celery, and similar async/queue-based frameworks
Deep experience with Postgres including schema design, query optimization, and operating Postgres in production
Experience working with large datasets and navigating real-world data quality challenges across heterogeneous source systems
Experience setting engineering standards (service design, data architecture, operational practices) that other engineers adopted and built on
Experience designing and operating integrations with third-party SaaS systems including handling rate limits, schema drift, and partial failures
Strong background in modern cloud-based architectures, particularly AWS
Active use of modern AI coding tools (Claude Code, OpenAI Codex, Cursor, or similar) as part of your development workflow
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