Senior Backend Platform Engineer

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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

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

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.

Equivalent of 5+ years of professional software engineering experience, with significant focus on backend platform, integrations, or data infrastructure work
Track record of owning and delivering significant backend features or components in production, from design through operation
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 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

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, Datadog, and GitLab
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 Redis