Power Factors
Head Of Software Architecture
Boston, Massachusetts, United States · Principal
Sponsorship not specified$15k-$20kDetected 9 days ago
Distributed SystemsCode ReviewAWSGCPCloud PlatformsMachine LearningData ScienceLLMsMLOpsCybersecurityPerformance ManagementCAMControlsUnityLeadershipCommunicationCollaborationRenewable EnergySCADA
About the role
- ABOUT POWER FACTORS Power Factors is a software and solutions provider leading the next generation of clean energy with Unity, one of the most extensive and widely deployed renewable energy management suites (REMS) in the market.
- The Head of Software Architecture exists to close that gap.
- This role combines the strategic scope of an enterprise architect with the credibility of a builder who still writes code, reviews pull requests, and is comfortable being the most technical person in the room.
Responsibilities
- Adoption rate of architectural standards and reference designs across engineering teams
- The company's suite of open, data-driven applications empowers renewable energy stakeholders to collaborate, automate critical workflows, and make more informed decisions to maximize asset returns.
- Energy stakeholders receive end-to-end support, including solutions for SCADA & PPC, centralized monitoring, performance management, commercial asset management, and field service management.
- With deep domain expertise, AI-powered insights are delivered at scale so businesses can optimize assets, unlock growth, and make smarter decisions as the world rapidly transitions to clean energy.
Requirements
- AI-first thinking applied responsibly, with attention to data quality, safety, and reliability Skills & Profile Required Experience
- 15-20 years of progressive experience in software engineering, with significant time spent in architecture and technical leadership roles
- experience with systems that ingest and process high-volume telemetry from distributed physical assets
- familiarity with edge computing architectures and industrial control systems
- hands-on experience with Model Context Protocol, development LLMs, and building LLM-based product features
- deep experience with GCP and/or AWS at an architectural level
Nice to have
- ideally direct experience in renewable energy or broader energy sector software (strongly preferred, not required)
Skills
- Evaluate and select development LLMs and AI platforms appropriate for embedding into commercial products
- Stay close enough to the codebase to make credible, current architectural judgments rather than relying on secondhand reporting
- Define architectural standards for mobile app development where products extend to field and operations use cases
- Identify, evaluate, and roll out AI development tools that enable a 3-4x productivity improvement across engineering teams
- Define best practices for AI-assisted coding, testing, and code review, balancing speed with quality and security
- experience selecting and rolling out AI dev tools that meaningfully increase engineering team productivity
Compensation
- Number of AI-based product capabilities architected and shipped to production per year
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