Lead Python Backend Developer

Software Engineer (Python/FastAPI) — AI ApplicationsRole: Build, operate, and scale Python APIs and backend services that integrate AI capabilities (e.g., Google Gemini via Vertex AI) to power internal and external applications. You will not build models; you’ll productionize integrations, orchestrations, and data flows around them. Required Qualifications6–8+ years software engineering (mid–senior); strong Python 3.x.+Production FastAPI (or Flask) delivering secure, versioned APIs.Cloud experience on GCP or AWS, Azure (e.g., Cloud Run/GKE/Pub/Sub or Lambda/EKS/API Gateway/SQS).Datastores: Postgres/MySQL and one of Redis/ElastiCache/Memorystore; migrations and schema design.CI/CD (GitHub Actions/Cloud Build), containerization (Docker), IaC familiarity (Terraform helpful).Testing culture (unit/integration/contract), API specs (OpenAPI), and observability.Strong grasp of resiliency patterns and performance tuning in distributed systems. Preferred QualificationsExperience integrating AI services (Vertex AI/Gemini, AWS Bedrock, OpenAI) and prompt/response handling.Intermediate data engineering skills with Python/SQLSecurity: OAuth/OIDC, JWT, service-to-service auth, KMS/Secrets Manager.Data pipelines basics (e.g., batch to feature/API), and schema evolution practices.Front end experience with React is a big plus (this would ultimately mean a full stack candidate). What You’ll DoDesign, implement, and document FastAPI services and SDKs for AI features.Integrate third-party AI providers (Gemini, Bedrock, OpenAI) 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).