Summary
A lead backend development role building cloud-native services, scalable APIs, AI integrations, and enterprise solutions. The position requires strong architecture skills and experience with modern software delivery practices.
Highlights
Work on advanced AI-driven engineering projects with modern cloud technologies, flexible scheduling, professional growth opportunities, and a collaborative technical team.
Description
We are seeking a Lead Python Developer to drive the development of core backend services powering an innovative, AI-driven platform for industrial automation and enterprise operations.
In this role, you will architect and build scalable APIs, design resilient cloud-native services on Google Cloud Platform, orchestrate AI agents, and integrate with complex enterprise systems.
You will work closely with cross-functional Frontend, AI/ML, UX, and Product teams to deliver a highly reliable, production-grade ecosystem.
Responsibilities
Design, develop, and maintain high-performance backend services using Python and FastAPI.Architect and implement robust RESTful APIs and real-time streaming mechanisms via Server-Sent Events (SSE) for AI recommendations.Build secure, resilient integrations with enterprise systems (e.g., PLM, SFC, Radix) with built-in retries, rate limiting, and fallback logic.Develop data persistence services utilizing Google Cloud Spanner.Orchestrate services connecting frontend applications with AI agents, retrieval systems (RAG), and backend workflows.Lead architecture and code reviews, establish contract testing/automated API validation, and ensure operational readiness in Docker/Kubernetes environments.
Requirements
5+ years of experience in backend software development with strong expertise in Python.Hands-on experience with FastAPI (or similar modern frameworks).Solid experience with Google Cloud Platform (GCP), containerization (Docker, Kubernetes), and CI/CD pipelines (GitHub Actions / Cloud Build).Deep understanding of microservice architecture, asynchronous programming, real-time data streaming (SSE/WebSockets), and REST/OpenAPI standards.Strong SQL skills and experience with relational/cloud databases (e.g., Google Cloud Spanner).Proven background in building secure APIs (AuthN/AuthZ, auditing, rate limiting).
Nice to have
Familiarity with AI orchestration frameworks and tools (Vertex AI, LangGraph, MCP, RAG).Domain experience in manufacturing, industrial automation, electronics repair, or integration with PLM/MES/ERP/Shop Floor systems.
We offer
Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunitiesWell-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services.
Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation.
A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience.
Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
