Senior Fullstack Developer

Brooksource is seeking a Senior Full-Stack Developer to support the Modern Sales initiative at one of our largest Fortune 200 energy clients. Modern Sales is a strategic transformation program focused on modernizing the energy sales process through advanced analytics, data-driven decisioning, and AI-enabled technology. The platform enables sales teams to leverage customer, market, and operational data to improve decision-making, identify opportunities, and deliver more effective customer interactions.

As the Modern Sales platform continues to scale across markets, the Senior Full-Stack Developer will play a key role in the development, technical governance, enhancement, and production support of the applications that power the Modern Sales ecosystem
. This individual will work across the full technology stack and partner closely with data scientists, data engineers, product teams, and business stakeholders to deliver scalable, reliable, and intuitive solutions.

This is a hands-on senior engineering role requiring strong expertise in React.js, Python, FastAPI, SQL Server, Microsoft Azure, and CI/CD practices
. The ideal candidate will be comfortable owning solutions throughout the software development lifecycle and helping establish development standards that ensure the Modern Sales platform can scale effectively as new capabilities, users, and markets are introduced.

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Information Systems, Engineering, or a related field; OR equivalent professional experience
• 5+ years of professional software development experience with significant experience building enterprise web applications
• Strong hands-on experience with React.js and modern front-end development
• Strong experience developing backend services and RESTful APIs using Python and FastAPI
• Solid understanding of backend architecture, API design, integration patterns, and application security
• Hands-on experience with SQL Server, including database design, query development, data access, and performance optimization
• Experience working with Microsoft Azure, including cloud-based application environments and services
• Experience establishing and maintaining CI/CD pipelines, preferably within Azure Dev Ops
• Strong understanding of YAML-based build and deployment configurations
• Experience with Git-based development, including branching, pull requests, code reviews, merge strategies, and conflict resolution
• Experience writing and executing unit, integration, and automated tests across front-end and backend components
• Experience building and supporting applications in production environments
• Understanding of application logging, monitoring, observability, error handling, and production troubleshooting
• Experience integrating applications with internal APIs, external APIs, data platforms, and enterprise services
• Strong understanding of software development lifecycle, Agile development practices, and enterprise engineering standards

• Experience integrating applications with Databricks, data science models, machine learning solutions, or AI-enabled services
• Experience supporting applications incorporating Generative AI, LLMs, or Agentic AI capabilities
• Experience with Azure App Services, Azure SQL Database, Azure Dev Ops, and related Azure technologies
• Experience supporting sales platforms, CRM capabilities, customer-facing applications, or data-intensive enterprise applications
• Familiarity with secure coding practices, identity and access management, and enterprise application security
• Experience with in the energy, utilities, retail energy, or another highly regulated industry
• Experience mentoring junior developers or serving as a technical lead within an Agile development team

• Design, develop, enhance, and maintain full-stack applications supporting the Modern Sales platform.
• Design and develop backend services and RESTful APIs using Python and FastAPI.
• Develop and optimize application data models, queries, and integrations utilizing SQL Server.
• Integrate Modern Sales applications with data platforms, analytical models, AI capabilities, internal enterprise services, and third-party APIs.
• Partner closely with data scientists and data engineers to expose analytical models, recommendations, scoring, and decisioning capabilities through user-facing applications.
• Build modular, reusable application components that can scale as Modern Sales capabilities expand across…