Backend Engineer (Python, GCP) for AI-Driven Automation

Insaito Software; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Insaito Software is seeking a backend engineer to design, develop, and maintain scalable backend services in Python. You will collaborate with data scientists and product teams to deliver robust APIs and cloud-native components.

You will work with Google Cloud Platform services such as Firestore, Datastore, Pub/Sub, Cloud Run, and Redis to enable AI-powered automation and reliable integrations. The role emphasizes clean architecture, testing, observability, and high performance in production.

Qualifications

• 1 to 3 years backend software engineering experience, with a strong focus on Python.
• Deep expertise with GCP services, especially Firestore, Datastore, Pub/Sub, Cloud Run, Task Queues, Redis.
• Proven experience building and scaling automation platforms that interface with machine learning or AI models.
• Strong understanding of distributed systems and asynchronous processing.
• Solid knowledge of testing, observability, and performance optimization in cloud environments.
• Passion for clean architecture, well-documented APIs, and a dev-first culture.

Responsibilities

• Design, develop, and maintain scalable backend services in Python.
• Architect and optimize cloud-native systems using Google Cloud Platform (GCP).
• Work extensively with Firestore, Datastore, Pub/Sub, Cloud Run, Task Queues, Redis caching.
• Build high-throughput, fault-tolerant automation systems powered by AI models.
• Collaborate with data scientists, frontend engineers, and product stakeholders to ship end-to-end solutions.
• Write clean, maintainable, and testable code and own the performance of your services in production.

Skills

Python

GCP

Firestore

Datastore

Pub/Sub

Cloud Run

Task Queues

Redis caching

Automation platforms

AI models

Distributed systems

Asynchronous processing

Testing & observability

APIs

Job description

Insaito Software is seeking a backend engineer to design, develop, and maintain scalable backend services in Python. You will collaborate with data scientists and product teams to deliver robust APIs and cloud-native components.

You will work with Google Cloud Platform services such as Firestore, Datastore, Pub/Sub, Cloud Run, and Redis to enable AI-powered automation and reliable integrations. The role emphasizes clean architecture, testing, observability, and high performance in production.