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Company Overview :
Our client is a U.S.-based SaaS company operating a production platform used daily by field teams to capture and sync inspection data. The product is established, actively scaling, and continues to evolve while supporting customers who depend on it in real-world conditions.
Your Role :
You’ll own backend systems that handle data, background processing, and integrations inside a live SaaS platform. New features still need to be built, but they must land safely inside workflows customers already rely on - often under unreliable connectivity and operational constraints.
You’ll take work from idea to production : clarifying requirements, designing backend systems, building them, and deploying safely. Some systems are new. Others exist but can’t support what the product needs next. Your job is to grow the platform without making it fragile.
This is a backend-first role. You’ll occasionally touch frontend or mobile code to support end-to-end workflows, but your core responsibility is backend reliability and system evolution.
You Bring :
5+ years owning production SaaS backend systems
Strong experience building backend services in Python
Hands-on experience with Celery + RabbitMQ in real systems
Solid relational data modeling using SQLAlchemy
Experience deploying and operating services on AWS (ECS required)
Comfortable owning production issues end-to-end
Nice-to-Have
Experience with React / Next.js or React Native
Use of feature flags and staged rollouts
Experience with third-party REST integrations
Familiarity with production monitoring tools (e.g., Bugsnag)
You’ve owned API integrations from design through deployment and monitoring
Comfortable supporting AI-powered workflows
What’s Offered :
Monthly compensation in USD , contractor model. Rate based on experience, scope of ownership, and location (U.S., Canada, or Latin America).
Flexible paid time off , plus your local holidays.
Fully remote , async-first culture with meaningful overlap across the Americas.
Senior, hands-on peers who share responsibility for architecture and product decisions.
Long-term opportunity at a profitable, stable company focused on product quality and steady growth.
Interview Process
1️⃣ Intro Chat (30 min) — Meet and ask questions
2️⃣ Technical Interview (60 min) — Focused on past systems and integrations
3️⃣ System Design Session (60 min) — Explore a real backend architecture problem
4️⃣ Final Call with CEO (30 min) — Culture fit and offer
Senior Software Engineer Python Remote US AI SaaS • Miami, Florida, .US