Senior Python Engineer for AI Apps & Cloud APIs

Insight Global; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global is seeking a mid-senior software engineer with 4-8+ years of experience and strong Python 3.x. You will design FastAPI services, integrate AI providers, and build scalable backends with secure, observable patterns.

You will work on latency and cost optimizations, implement caching, and ensure robust testing, security, and privacy across distributed systems. This is a full-time on-site opportunity in the United States.

Qualifications

• 4-8+ years software engineering (mid-senior)
• Cloud experience on GCP or AWS
• Datastores: Postgres/MySQL and Redis/ElastiCache/Memorystore; migrations and schema design
• CI/CD with GitHub Actions/Cloud Build; Docker; Terraform helpful
• Testing culture (unit/integration/contract), OpenAPI specs, observability
• Resiliency patterns and performance tuning in distributed systems

Responsibilities

• Design, implement, and document FastAPI services and SDKs for AI features
• Integrate third-party AI providers with secure, observable patterns
• Build event-driven and synchronous backends (REST/webhooks/queues) with robust error handling
• Optimize latency, throughput, and cost; add caching, rate limiting, and retries/circuit breakers
• Ship high-quality code with tests, CI/CD
• Instrument services (structured logs, metrics, traces) and own production readiness/runbooks
• Collaborate with product, data, and ML teams to translate requirements into APIs and workflows
• Uphold security, privacy, and compliance (secrets, OAuth/OIDC, PII handling)

Skills

Python

Distributed systems

Testing culture

OpenAI integration

Tools

GitHub Actions

Cloud Build

Docker

Terraform

OpenAPI

REST APIs

Job description

Insight Global is seeking a mid-senior software engineer with 4-8+ years of experience and strong Python 3.x. You will design FastAPI services, integrate AI providers, and build scalable backends with secure, observable patterns.

You will work on latency and cost optimizations, implement caching, and ensure robust testing, security, and privacy across distributed systems. This is a full-time on-site opportunity in the United States.