Staff Backend Platform Engineer
Posted 4hrs ago
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Job Description
Senior Backend Platform Engineer designing and operating production backend systems powering Conversica's next-gen AI platform, focusing on integrations, data ingestion, and messaging infrastructure.
Responsibilities:
- Set the technical direction for Conversica's backend platform, owning architecture decisions that span integrations, data, messaging, and orchestration across the entire system
- Drive cross-functional initiatives that touch multiple engineering teams, partnering with AI Engineering, Product, and Integrations leadership to shape platform strategy and roadmap
- Define and evolve org-wide engineering standards for backend service design, data modeling, integration patterns, observability, and operational excellence
- Identify systemic reliability, scalability, and performance risks across the platform and lead the engineering response
- Mentor senior and mid-level engineers across the backend organization, raising the technical bar through design reviews, written technical guidance, and pairing on hard problems
- Represent the backend platform in technical strategy discussions with executive leadership and contribute to multi-quarter roadmap planning
- Build and ship production code yourself; this is a hands-on individual contributor role, not a pure architect role
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
Benefits:
- Health, dental, and vision benefits
- PTO
- Holiday pay
- 401(k)
- Equity

















