Senior Backend Platform Engineer

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 DoOwn end-to-end delivery of significant backend platform components, taking work from design through production within an established architectural directionLead implementation in a focused domain such as integrations, messaging infrastructure, data ingestion, or one of the core platform servicesMake 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 callsPartner closely with AI Engineering and Product to translate evolving requirements into reliable, well-tested softwareDrive 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 teamContribute to platform-wide design discussions and influence the standards you operate under What You'll BuildIntegration platform: inbound and outbound data processors, partner APIs, webhook ingestion, CSV bulk imports, sync logic, and resilient retry/backoff patterns for unreliable external systemsMessaging infrastructure: email (AWS SES), SMS (Twilio), and chat (OpenAI Chatkit) delivery pipelines including throughput management, deliverability, suppression, and audit trailsPlatform services: the Campaign, Playbook, Flows, Contact, Knowledge, and Reporting services that compose our domain modelData foundations: Postgres schema design, data models for contacts, conversations, campaigns, and configuration. Storage patterns optimized for both transactional workloads and agent retrievalOrchestration 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 RoleIn your first 6 to 12 months in this role:You own and operate a significant platform domain in production, with the design decisions, code, and operational responsibility sitting with you.You’ve led the delivery of at least one significant platform feature from design through launch, partnering effectively with AI Engineering and Product along the way. You’ve raised the engineering craft on your team through code review, design feedback, and pairing, and the engineers around you are visibly better for it. Qualifications and ExperienceEquivalent of 5+ years of professional software engineering experience, with significant focus on backend platform, integrations, or data infrastructure workTrack record of owning and delivering significant backend features or components in production, from design through operationProven experience deploying and operating production backend systems at scaleStrong proficiency in Python, including production experience with FastAPI, Celery, and similar async/queue-based frameworksDeep experience with Postgres including schema design, query optimization, and operating Postgres in productionExperience working with large datasets and navigating real-world data quality challenges across heterogeneous source systemsExperience 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 Preferred / Nice-to-Have ExperienceExperience working in B2B SaaS environmentsExperience integrating with Marketing Automation Platforms (MAPs), Customer Relationship Management Systems (CRMs), Customer Data Platforms (CDPs), or Dealer Management Systems (DMS)Production experience with Terraform, EKS, Datadog, and GitLabExperience operating messaging infrastructure including SMTP, SMS aggregators, or chat platformsExperience building platforms that AI agents or other automated systems consumeExperience with Redshift, DynamoDB, EventBridge, and Redis What We ValueWe care about what you’ve built and the depth you’ve developed. If you’ve owned and operated significant systems in production, shipped strong software end to end, written code other en