Engineer- Full Stack USA

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

About the role

Design, develop, and maintain full stack AI-powered web applications that support the organization’s digital transformation and product engineering initiatives. Collaborate with data scientists and cross-functional stakeholders to integrate large language models (LLMs), AI agents, and machine learning models into bespoke business applications across analytics, reliability engineering, technical sales, and field operations.

Responsibilities

• Design, develop, test, and maintain full stack web applications using React/TypeScript frontends and Python/FastAPI backends to deliver AI-powered tools for internal business units.
• Architect and implement scalable, cloud-native solutions on Azure including Container Apps, Kubernetes, Virtual Networks, Azure Container Registry, and Private Endpoints.
• Integrate large language models (LLMs), AI agents, and machine learning models into production applications to support business analytics, predictive modeling, and automated decision-making.
• Design, build, and maintain ETL/ELT data pipelines to ingest, transform, and serve data from heterogeneous sources including SQL databases and external APIs.
• Build and maintain CI/CD pipelines using Azure DevOps for automated testing, container image builds, and deployment workflows.
• Develop and manage Infrastructure as Code (IaC) using Terraform to provision, configure, and maintain Azure cloud resources.
• Create data-driven dashboards, visualization tools, and analytics platforms for performance prediction, quality engineering, and field operations use cases.
• Implement application security best practices including secure coding standards, vulnerability remediation, secrets management, and access control design across all applications.
• Establish and enforce coding standards, reusable component libraries, and architectural best practices across all product engineering projects.
• Implement monitoring, observability, and alerting solutions using Azure Monitor and Application Insights to ensure production reliability and performance.
• Collaborate with data scientists to operationalize machine learning models, integrate data pipelines, and translate analytical prototypes into production-ready applications.
• Engage directly with non-technical business stakeholders across Performance and Prediction Analytics, Quality and Reliability Engineering, Global Quality, Technical Sales, Environment Health and Safety, Recycling, and Warranty and Post Sales to gather requirements and deliver tailored solutions.
• Provide technical leadership and mentorship to team members including data scientists and future engineering hires, setting industry-standard best practices for code quality, architecture, testing, and DevOps.
• Participate in code reviews, technical design discussions, and documentation to promote knowledge sharing and engineering excellence.
• Manage the full software development lifecycle from requirements gathering and technical design through development, testing, deployment, and ongoing maintenance.
• Other duties as assigned.

Requirements

• 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 DevOps practices is highly preferred.
• Experience designing and building ETL/ELT data pipelines, data ingestion workflows, or data platform architectures is preferred.

Skills

• Strong proficiency in React with TypeScript 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 DevOps 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 (SQLAlchemy), 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, NumPy).
• 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.

Reporting Relationships

This position reports to the Head of AI Transformation. While this role does not have direct reports, it is expected to serve as a technical leader, setting engineering standards and mentoring data scientists and future team members on software development best practices.

Travel

0% - 5% (on occasion/as needed for training, etc.)

Pay

Estimated salary range: $150,880.00 - $215,050.00 annually (US).

Physical Requirements

Office-based role requiring interaction with people and technology while either standing or sitting. Must be able to communicate face-to-face and on the phone with or without reasonable accommodation.