Engineer- Full Stack

Job Description

First Solar reserves the right to offer you a role most applicable to your experience and skillset.

• Design, develop, and maintain full stack AI-powered web applications that support the organization’s digital transformation and product engineering initiatives.
• Build and deploy production-grade applications using React/Type Script frontends and Python/FastAPI backends on Azure cloud infrastructure.
• Architect scalable, containerized solutions and establish reusable design patterns across multiple AI product work streams spanning analytics, reliability engineering, technical sales, and field operations.
• Collaborate with data scientists and cross-functional stakeholders to integrate large language models (LLMs), AI agents, and machine learning models into bespoke business applications.
• Design and implement data engineering pipelines to ingest, transform, and serve data from heterogeneous sources including SQL databases and third-party APIs.
• Oversee architectural decisions, CI/CD pipelines, and infrastructure-as-code to ensure reliability, security, and maintainability across the software development lifecycle.
• Provide technical leadership by researching and adopting industry-standard best practices, setting engineering standards, and mentoring team members on software engineering principles.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field is required.
• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related discipline is preferred.
• Minimum of 5 years of professional experience in full stack software development with modern web frameworks and cloud-native architectures is required.
• Experience with AI/ML integration, LLM-based application development, Azure cloud services, and Dev Ops practices is highly preferred.
• Experience designing and building ETL/ELT data pipelines, data ingestion workflows, or data platform architectures is preferred.

• Strong proficiency in React with Type Script and modern frontend tooling (Vite, Tailwind CSS).
• Advanced backend development skills in Python (FastAPI), with the ability to design and build RESTful APIs and asynchronous services.
• Hands-on experience with Azure cloud services including Container Apps, Blob Storage, Cognitive Search, Key Vault, Azure AI Foundry, Azure OpenAI, Azure Identity, and Azure Data Factory or equivalent data integration services.
• Proficiency in containerization and orchestration with Docker and Kubernetes, and experience building CI/CD pipelines with Azure Dev Ops or Azure Pipelines.
• Experience with Infrastructure as Code (Terraform) for provisioning and managing cloud resources.
• Strong knowledge of SQL databases (Microsoft SQL Server preferred), ORM frameworks (SQL Alchemy), and database migration tools (Alembic).
• Data engineering skills including designing ETL/ELT pipelines, data modeling, data ingestion from heterogeneous sources (SQL, Excel, flat files, APIs), and data quality validation.
• Demonstrated experience integrating AI/ML models and large language models (LLMs) into production-grade applications.
• Solid understanding of application security best practices including OWASP principles, input validation, secrets management, and RBAC/OAuth/OIDC authentication and authorization patterns.
• Experience with testing frameworks and methodologies including unit testing, integration testing, and test automation (Pytest, Jest, React Testing Library).
• Knowledge of caching strategies (Redis), query optimization, and application performance tuning for high-availability systems.
• Experience with monitoring and observability tools such as Azure Monitor, Application Insights, structured logging, and alerting frameworks.
• Familiarity with event-driven and message-driven architectures (Azure Service Bus, Event Grid) for asynchronous processing and agent-based workloads.
• Solid understanding of software development lifecycle (SDLC) best practices, version control (Git), and agile methodologies.
• Ability to make sound architectural decisions, establish coding standards, and create reusable design patterns for scalable systems.
• Experience with data visualization libraries (Recharts, Plotly, Matplotlib) and data processing frameworks (Pandas, Num Py).
• Strong written and verbal communication skills with the ability to collaborate effectively across cross-functional teams and translate business requirements from non-technical stakeholders into technical solutions.
• Demonstrated technical leadership skills with the ability to research, evaluate, and adopt industry-standard engineering practices and mentor peers in their application.
• Proficient use of all Microsoft Office suite programs.

• Design, develop, test, and maintain full stack web applications using React/Type Script frontends and Python/FastAPI backends to deliver AI-powered tools for internal business units.
• Architect and implement scalable,…