Sr Software Development Eng

NextEra Energy•Saint Paul, MN

About The Position

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. We are seeking a high-caliber Senior Software Development Engineer to join a team building customer-centric solutions for the business. This role is designed for a top-tier engineer who combines deep technical expertise with strong product intuition and business acumen. You will tackle ambiguous challenges, rapidly prototype solutions directly with stakeholders, and architect scalable, secure systems. You operate with high autonomy, acting as the critical technical bridge that turns business objectives into high-performing software.

Requirements

High-caliber Senior Software Development Engineer
Deep technical expertise
Strong product intuition
Business acumen
Ability to tackle ambiguous challenges
Ability to rapidly prototype solutions directly with stakeholders
Ability to architect scalable, secure systems
High autonomy
Ability to act as a critical technical bridge
Ability to turn business objectives into high-performing software
Use agentic AI tools throughout the SDLC
Maintain full accountability for code quality, correctness, and security
Design quality gates, spec-driven workflows, and deterministic checks
Evaluate AI tools and patterns critically
Embed security and compliance into the core of the development lifecycle
Proactively mitigate vulnerabilities through secure design
Build well-tested, maintainable software
Implement CI/CD pipelines
Build observability, alerting, runbooks, and recovery paths into systems

Responsibilities

Architect in Ambiguity: Translate loosely defined business problems into clean, robust architectures while anticipating edge cases.
Rapid Prototyping: Where applicable, build functional prototypes with stakeholders to validate ideas instantly and accelerate the feedback loop.
Full-Stack Delivery: Own features end-to-end across services, data, and UI, making pragmatic technology choices and avoiding unnecessary complexity.
AI-Assisted Development: Use agentic AI tools throughout the SDLC to move faster, while maintaining full accountability for code quality, correctness, and security.
Feedback Loops for Coding Agents: Design quality gates, spec-driven workflows, and deterministic checks that catch agent errors before humans do.
Critical Adoption: Evaluate AI tools and patterns critically, adopting what improves the team's output and discarding what doesn't.
Security-First Mindset: Embed security and compliance into the core of the development lifecycle, proactively mitigating vulnerabilities through secure design.
Production Standards: Build well-tested, maintainable software. Implement CI/CD pipelines to ensure systems are resilient, scalable, and optimized for an exceptional end-user experience.
Operational Readiness: Make production behavior measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery paths into systems from the start.
Drive Outcomes: Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early.
Technical Translation: Partner closely with Product Managers and business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome-oriented terms.
Partnering Across Functions: Engage security, risk, compliance, and platform teams early, communicate technical tradeoffs clearly, and make the case when a project calls for a different approach.