Lead Software Developer (AI Energy)

Responsibilities:

Frontend Engineering (React): Develop responsive, high-performance UI components using React, TypeScript, Hooks, and Context/Redux. Integrate front-end applications with backend APIs. Maintain high code quality through unit testing.

Backend Engineering: Develop and maintain server-side logic using Node.js or similar frameworks. Design and optimize REST APIs and microservices. Work with relational and/or NoSQL databases.

DevOps & Cloud: Deploy services in cloud environments. Implement CI/CD. Ensure system reliability, security, scalability, and observability (logging, monitoring, metrics).

Collaboration & Delivery:Partner with product managers and designers to refine requirements and deliver high-impact features. Participate in code reviews, architectural discussions, and technical design sessions. Contribute to engineering best practices, documentation, and process improvements.

What Were Looking For:

Basic Qualifications:

• Bachelors/masters degree in computer science, Information Systems, or equivalent.
• 6+ years experience in application development (including application architecture)
• Demonstrates leadership in building relationships with business partners and/or clients
• Strong experience in
• oReact, TypeScript, JavaScript (ES6+)
• oNode.js or equivalent backend framework
• oREST/GraphQL APIs
• oSQL & NoSQL databases
• oGit, CI/CD pipelines, cloud deployments
• Experience integrating APIs, third-party services, and modern frameworks.
• Strong Java/C# and SQL skills
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
• Demonstrates a thorough understanding of information systems, business processes, the key drivers, and measures of success while choosing the proper methodologies and policies to support broad business goals
• Experience working in cloud computing environments such as AWS, Azure, or GCP
• Experience in Snowflake, Databricks, and Google BigQuery
• Experience in the Energy Transition domain is a plus.

Preferred Qualifications:

• Familiarity and/or enthusiasm with Data Science / Machine Learning is a plus.