Prin Software Development Eng

Requisition ID:   95188     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  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, business acumen, and an ownership mindset. You thrive in ambiguity, partnering directly with business leaders to understand problems before designing solutions. You rapidly translate ideas into working software, validate assumptions through iteration, and evolve prototypes into scalable production systems. You act as the technical bridge between business strategy and engineering execution, ensuring technology investments deliver measurable customer and business value.   Key Responsibilities & Expectations   1. Execution & Business Ownership

Drive Outcomes:  Take ownership of delivering meaningful business results, managing scope responsibly, and communicating technical risks early. Technical Translation:  Partner closely with business leaders. Articulate complex architectural decisions and tradeoffs in clear, outcome oriented terms. Cross Functional Partnership:  Engage security, risk, compliance, and platform teams early, communicate technical tradeoffs clearly, and advocate for alternative approaches when a project requires them. Strategic Technology Advisor:  Build trusted relationships with business leaders by translating technical possibilities into business capabilities and clearly communicating tradeoffs, risks, and investment decisions.

2. Engineering & System Design

Solve Business Problems:  Work directly with business stakeholders to understand operational challenges, identify root causes, and design software that creates measurable business impact. Architect in Ambiguity:  Translate loosely defined business problems into clean, robust architectures while anticipating edge cases. Rapid Delivery:  Where appropriate, deliver products quickly to stakeholders to validate ideas, gather feedback, and accelerate iteration. Full Stack Delivery:  Own features end to end across services, data, and user interfaces, making pragmatic technology choices while avoiding unnecessary complexity.

3. Engineering Productivity with AI

AI Assisted Development:  Use agentic AI tools throughout the software development lifecycle (SDLC) to accelerate delivery while maintaining full accountability for code quality, correctness, and security. Feedback Loops for Coding Agents:  Design quality gates, specification driven workflows, and deterministic checks that identify agent errors before they reach human review. Evaluate Emerging Technology:  Continuously assess AI capabilities and engineering practices, adopting approaches that measurably improve delivery speed, software quality, and developer experience.

4. Reliability & DevSecOps

Security First Mindset:  Embed security and compliance into every stage 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 systems measurable, debuggable, and recoverable by building observability, alerting, runbooks, and recovery mechanisms from the outset.

5. Culture

Customer