Prin Software Development Eng
NextEra Energy
- Location
- St. Paul, MN, US, 55107
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 25, 2026
Skills
About this role
Requisition ID: 96946 NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry. Position Specific Description We are seeking a high-caliber Principal Software Development Engineer to help build customer-centric software solutions that drive business impact. This role is designed for an exceptional engineer who combines deep technical expertise with strong product intuition and business acumen. As a Principal Software Development Engineer, you will thrive in ambiguous environments, rapidly prototype solutions with stakeholders, and design scalable, secure, and resilient systems. You will operate with a high degree of autonomy, serving as the technical bridge between business objectives and software delivery while mentoring engineering teams and raising technical standards across the organization. Key Responsibilities Engineering & System Design
Architect scalable, maintainable solutions for complex and loosely defined business problems while proactively identifying edge cases and technical risks. Partner directly with stakeholders to rapidly prototype and validate ideas, accelerating product discovery and feedback. Own the full software development lifecycle across backend services, APIs, data platforms, and user interfaces. Make pragmatic technology decisions that balance speed, quality, maintainability, and long-term scalability. Champion modern software architecture patterns and engineering best practices.
AI-Enabled Engineering Productivity
Leverage agentic AI tools throughout the software development lifecycle to improve engineering velocity while maintaining full ownership of code quality, correctness, and security. Design specification-driven workflows, automated quality gates, and deterministic validation processes that improve AI-assisted software development. Evaluate emerging AI technologies and development practices, adopting solutions that improve team productivity and engineering outcomes. Promote responsible AI usage by establishing standards for reliability, maintainability, and governance.
Reliability, Security & DevSecOps
Embed security, compliance, and privacy considerations into every stage of software development. Build highly reliable, scalable, and maintainable applications supported by comprehensive automated testing. Design and maintain modern CI/CD pipelines that enable safe, repeatable, and efficient software delivery. Build observability into applications through logging, metrics, monitoring, alerting, dashboards, and recovery strategies. Ensure production systems are measurable, debuggable, resilient, and operationally ready.
Technical Leadership & Business Ownership
Take ownership of delivering high-impact business outcomes while proactively managing scope, priorities, dependencies, and technical risks. Partner closely with Product Managers, architects, and business leaders to translate business needs into scalable technical solutions. Clearly communicate architectural decisions, tradeoffs, and technical recommendations to both technical and non-technical audiences. Collaborate early with Security, Risk, Compliance, Infrastructure, and Platform Engineering teams to deliver secure and sustainable solutions. Influence engineering direction through technical leadership, mentorship, and continuous improvement initiatives.
Team & Culture
Foster a culture of technical excellence, continuous learning, and collaborative problem-solving. Lead by example through strong ownership,