Staff Backend Platform Engineer

Requirements

• 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

Additional Information

Conversica is seeking a Senior Backend Platform Engineer to design, build, and operate the production backend systems that power our next-generation AI platform. This is an experienced individual contributor role focused on owning and delivering meaningful pieces of the platform layer: integrations, data ingestion, messaging infrastructure, orchestration, and the data foundations our agents depend on. This role operates with strong autonomy within a clear technical direction. You will lead the implementation of significant platform components, make day-to-day technical decisions within your domain, and partner with Staff Engineers and tech leads on broader architectural calls. Use of AI in the Hiring Process As an AI company, we recognize that candidates may use AI tools to research, prepare, and improve application materials. However, we expect all application materials, assessments, and interview responses to accurately reflect your own experience, skills, and work. Authenticity, transparency, and professional integrity are important parts of our hiring process.

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