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.
What You'll Do
- Own end-to-end delivery of significant backend platform components, taking work from design through production within an established architectural direction
- Lead implementation in a focused domain such as integrations, messaging infrastructure, data ingestion, or one of the core platform services
- Make day-to-day technical decisions within your domain on data modeling, API design, error handling, and operational concerns, partnering with the Staff Engineer and tech leads on broader architectural calls
- Partner closely with AI Engineering and Product to translate evolving requirements into reliable, well-tested software
- Drive reliability, performance, and observability improvements in the systems you own; respond to production issues and lead the fix
- Mentor mid-level and junior engineers on your team through code review, pairing, and design feedback; raise the bar on engineering craft within the team
- Contribute to platform-wide design discussions and influence the standards you operate under
What You'll Build
- Integration platform: inbound and outbound data processors, partner APIs, webhook ingestion, CSV bulk imports, sync logic, and resilient retry/backoff patterns for unreliable external systems
- Messaging infrastructure: email (AWS SES), SMS (Twilio), and chat (OpenAI Chatkit) delivery pipelines including throughput management, deliverability, suppression, and audit trails
- Platform services: the Campaign, Playbook, Flows, Contact, Knowledge, and Reporting services that compose our domain model
- Data foundations: Postgres schema design, data models for contacts, conversations, campaigns, and configuration. Storage patterns optimized for both transactional workloads and agent retrieval
- Orchestration and event flows: FastAPI services, Celery workflows, EventBridge-driven event handling, queue management, and the action dispatch layer that executes agent decisions across CRM, calendar, and notification systems
Success in this Role
In your first 6 to 12 months in this role:
- You own and operate a significant platform domain in production, with the design decisions, co