full-stack developer

HireHi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

EPAM is seeking an experienced backend engineer to build AI-driven automation for insurance submissions and document processing. You will design scalable Python services, RESTful APIs, and microservices, leveraging Django, FastAPI or Flask, and modern databases.

The role emphasizes reliability, observability, and efficient cloud deployments using Azure/AWS/GCP. Collaboration in an Agile environment is expected.

Qualifications

• 5+ years of Python development experience
• Commercial experience with Angular
• Experience with Django, FastAPI, and Flask
• Experience with REST APIs and Swagger
• Experience with relational and non-relational databases (PostgreSQL, MongoDB)
• Strong understanding of OOP, design patterns, and clean architecture
• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with Docker and CI/CD pipelines
• Experience with Prompt Engineering, GPT, OCR/Document Intelligence, Azure AI Services, and Vector stores
• Hands-on experience with monitoring and observability tools
• Understanding of SLIs/SLOs, reliability, performance, scalability and availability
• Experience working in Agile environments
• English at Upper-Intermediate level (B2) or higher
• Nice to have: high-load systems, asynchronous programming, Kafka/RabbitMQ, DevOps practices, insurance domain knowledge

Responsibilities

• Design and develop scalable backend applications using Python
• Build and maintain RESTful APIs and microservices
• Architect systems to reduce risks related to availability, latency, and efficiency
• Work with relational and non-relational databases and optimize their performance
• Apply GPT, OCR/Document Intelligence, Azure AI Services, and Vector stores to real-world automation use cases
• Apply Prompt Engineering techniques to build automation solutions for insurance processes
• Contribute to architectural discussions with a focus on scalability and maintainability
• Manage CI/CD pipelines and deployment using Azure DevOps and Docker/Container Apps
• Support production deployments and environment configuration
• Apply SRE best practices and define/monitor SLIs, SLOs, and error budgets
• Implement observability: monitoring, logging, tracing
• Automate operational processes to reduce manual effort and mitigate risks

Job description

The project focuses on AI-driven automation in the insurance domain, specifically building a system for submission processing and document automation. EPAM provides enterprise software products, open-source solutions, and accelerators.

• Design and develop scalable backend applications using Python;
• Build and maintain RESTful APIs and microservices;
• Architect systems to reduce risks related to availability, latency, and efficiency;
• Work with relational and non-relational databases and optimize their performance;
• Apply GPT, OCR / Document Intelligence, Azure AI Services, and Vector stores to real-world automation use cases;
• Apply Prompt Engineering techniques to build solutions for automation of insurance processes;
• Contribute to architectural discussions with a focus on scalability and maintainability;
• Manage CI/CD pipelines and application deployment using Azure DevOps and Docker / Container Apps;
• Support production deployments and environment configuration;
• Apply SRE best practices and define and monitor SLIs, SLOs, and error budgets;
• Implement observability practices, including monitoring, logging, and tracing;
• Automate operational processes to reduce manual effort and mitigate performance and availability risks.
• 5+ Years of Python development experience and commercial experience with Angular;
• Strong knowledge of Python frameworks: Django, FastAPI, and Flask;
• Experience with REST APIs and API documentation tools such as Swagger;
• Experience designing and maintaining production-grade systems;
• Experience with relational and non-relational databases, including PostgreSQL and MongoDB;
• Solid understanding of OOP, design patterns, and clean architecture;
• Experience with cloud platforms such as AWS, Azure, or GCP;
• Familiarity with Docker and CI/CD pipelines;
• Experience with Prompt Engineering, GPT, OCR / Document Intelligence, Azure AI Services, and Vector stores;
• Hands-on experience with monitoring and observability tools;
• Understanding of SLIs/SLOs, reliability principles, system performance, scalability, and availability;
• Experience working in Agile environments;
• English at Upper-Intermediate level (B2) or higher;
• Nice to have: experience with high-load systems, knowledge of asynchronous programming, experience with message brokers such as Kafka and RabbitMQ, understanding of DevOps practice, background in the insurance domain.