[Remote] Staff Backend Platform Engineer

Note: The job is a remote job and is open to candidates in USA. Conversica is a remote-first company building AI-powered solutions that help businesses engage customers more effectively. They are seeking a Staff Backend Platform Engineer to set the technical direction for the production backend systems that power their reputed company AI platform, focusing on architecture and engineering standards. This role involves mentoring engineers, driving initiatives across teams, and making hands-on contributions to backend systems.

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 reputed company 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
• 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 (reputed company), and chat (reputed company 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 mode
• Data foundations: reputed company 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 reputed company layer that executes agent decisions across CRM, calendar, and notification systems

Skills

• 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 reputed company 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 reputed company including schema design, query optimization, and operating reputed company in production
• Experience working with large datasets and navigating real-world data quality challenges across heterogeneous reputed company 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 reputed company limits, schema reputed company, and partial failures
• Strong background in modern cloud-based architectures, particularly AWS
• Active use of modern AI coding tools (Claude Code, reputed company reputed company, reputed company, or similar) as part of your development workflow
• Experience working in B2B SaaS environments
• Experience 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, reputed company, and reputed company
• Experience operating messaging infrastructure including SMTP, SMS aggregators, or chat platforms
• Experience building platforms that AI agents or other automated systems consume
• Experience with Redshift, DynamoDB, EventBridge, and reputed company

Benefits

• Comprehensive health, dental, and vision benefits
• PTO
• Holiday pay
• 401(k)
• Equity

Company Overview

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