Software Engineering Manager

Overview

We’re advancing the future of renewable energy through intelligent software that optimizes how solar power plants are designed, predicted, and delivered. As Senior Software Engineering Manager, you’ll lead a distributed team driving the evolution of our flagship energy intelligence platforms — PlantPredict and the Pro Apps suite — which empower global solar developers to design, simulate, and deliver optimized renewable energy projects with precision and speed. You’ll drive technical leadership, architectural modernization, and product delivery across these critical applications, ensuring they continue to meet the reliability, scalability, and innovation standards required by our global customers. This role combines hands-on technical guidance, team leadership, and strategic direction in partnership with product, data, and domain experts.

Key Responsibilities

Leadership & Team Development

· Lead and mentor a multidisciplinary team of 5-8 engineers, fostering continuous growth, innovation, and adaptability as the organization embraces AI-driven tools and workflows.

· Oversee recruitment, professional growth, and performance management for team members.

· Enable collaboration across distributed teams and ensure alignment with product priorities.

· Champion agile and DevOps best practices across development and release cycles.

· Guide and mentor engineers in adopting emerging AI technologies and tools, fostering confidence, and ensuring the team remains at the forefront of innovation.

Technical Strategy & Architecture

· Define and execute the technical roadmap for the PlantPredict and Pro App product suite.

· Guide modernization of legacy components toward scalable, cloud-native architectures.

· Own the end-to-end architecture for PlantPredict and Pro Apps, driving modernization toward scalable, cloud-native systems and ensuring seamless interoperability across Azure and AWS environments.

· Oversee adoption of best practices in CI/CD, code quality, observability, and test automation.

· Partner with data and AI teams to integrate predictive modeling and automation capabilities into applications.

· Maintain architectural consistency across applications while enabling flexibility for innovation.

Product Delivery & Operations

· Manage end-to-end product delivery, ensuring reliable, secure, and high-performing releases through disciplined CI/CD, automated testing, and continuous feedback loops.

· Ensure PlantPredict and Pro Apps maintain exceptional uptime, performance, and security.