职位描述
From a distributed energy resources (DER) and grid edge perspective, Bidgely is advancing smart meter innovation with data-driven solutions for solar PVs, electric vehicle (EV) detection, EV behavioral load shifting and managed charging, energy theft, short-term load forecasting, grid analytics and time of use (TOU) rate designs. Bidgely's UtilityAITM energy analytics provides deep visibility into generation and consumption for better peak load shaping and grid planning and delivers targeted recommendations for new value-added products and services.
For more information, please visit-
Website: www.bidgely.com
Blog: bidgely.com/blog
Role Summary
Bidgely is seeking an outstanding and deeply technical Principal Engineer / Sr. Principal Engineer / Architect to lead the architecture and evolution of our next-generation data and platform infrastructure. This is a senior IC role for someone who loves solving complex problems at scale, thrives in high-ownership environments, and influences engineering direction across teams. You will be instrumental in designing scalable and resilient platform components that can handle trillions of data points, integrate machine learning pipelines, and support advanced energy analytics. As we evolve our systems for the future of clean energy, you will play a critical role in shaping the platform that powers all Bidgely products.
Responsibilities
- Architect & Design: Lead the end-to-end architecture of core platform components - from ingestion pipelines to ML orchestration and serving layers. Architect for scale (200Bn+ daily data points), performance, and flexibility.
- Technical Leadership: Act as a thought leader and trusted advisor for engineering teams.
- Review designs, guide critical decisions, and set high standards for software engineering excellence.
- Platform Evolution: Define and evolve the platform's vision, making key choices in data processing, storage, orchestration, and cloud-native patterns.
- Mentorship: Coach senior engineers and staff on architecture, engineering best practices, and system thinking.
- Foster a culture of engineering excellence and continuous improvement.
- Innovation & Research: Evaluate and experiment with emerging technologies (e.g., event-driven architectures, AI infrastructure, new cloud-native tools) to stay ahead of the curve.
- Cross-functional Collaboration: Partner with Engineering Managers, Product Managers, and Data Scientists to align platform capabilities with product needs.
- Non-functional Leadership: Ensure systems are secure, observable, resilient, performant, and cost-efficient. Drive excellence in areas like compliance, DevSecOps, and cloud cost optimization.
Requirements
- 9+ years of experience in backend/platform architecture roles, ideally with experience at scale.
- Deep expertise in distributed systems, data engineering stacks (Kafka, Spark, HDFS, NoSQL DBs like Cassandra/ElasticSearch), and cloud-native infrastructure (AWS, GCP , or Azure).
- Proven ability to architect high-throughput, low-latency systems with batch + real-time processing.
- Experience designing and implementing DAG-based data processing and orchestration systems.
- Proficient in Java (Spring Boot, REST), and comfortable with infrastructure-as-code and CI/CD practices.
- Strong understanding of non-functional areas: security, scalability, observability, and compliance.
- Exceptional problem-solving skills and a data-driven approach to decision-making.
- Excellent communication and collaboration skills with the ability to influence at all levels.
- Prior experience working in a SaaS environment is a strong plus.
About You
We're looking for candidates with a proven ability to work effectively with all levels within the organization, a strong aptitude for idea generation and the ability to work with the subtleties of experience design, analytics, and data-driven iteration. Passionate about a clean energy future Enjoy Ambiguity - You thrive in an environment that is fast-paced, challenging, and has many unknowns Innovative - You challenge the status quo to drive impact Results driven - Be dedicated to delivering stellar outcomes, and accept nothing less. Know your goals, chart your path, and execute with precision and passion. Quality Focused - Quality is at the heart of everything you do. You take great pride in your work and are a trusted resource.
Equal Opportunity Statement
Bidgely is an equal-opportunity employer. We are serious about and embrace diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills to build a better future and a better workforce.
职位详情
关于 Bidgely
公司概况
业务介绍
Bidgely专注于基于人工智能的能源分析软件,利用公用事业智能电表数据,为公用事业公司和消费者提供设备级洞察和客户互动工具(来源:bidgely.com)。其旗舰产品UtilityAI平台将能源使用数据、人口统计信息和客户互动转化为可操作的智能,支持负载管理、电网分析、电动汽车(EV)智能及需求响应应用(来源:businesswire.com)。公司技术聚焦于能耗分解和机器学习,能够推断设备级用电情况,无需客户安装传感器,帮助公用事业提升客户互动门户、优化电网运营及设计分时电价(来源:smartenergycc.org)。Bidgely服务全球公用事业和能源供应商市场,合同覆盖超过1500万户家庭,强调其专利的AI驱动解决方案,将客户体验与电网侧分析紧密结合(来源:linkedin.com)。
项目与业绩
Bidgely的影响力体现在其广泛的公用事业部署和产品推广上,而非传统基础设施项目。到2025年,其AI驱动的解决方案已节省超过1.5太瓦时的能源,相当于避免了超过100万吨的二氧化碳排放(来源:bidgely.com)。UtilityAI平台支持多种应用,包括电动汽车检测、智能充电管理、短期负载预测、盗电检测和需求响应,均基于其专利的能耗分解技术(来源:bidgely.com)。其客户涵盖Ameren、Itron、NV Energy、Nova Scotia Power、PNM和Luma等主要公用事业公司,显示出其在北美及其他地区的广泛采用(来源:bidgely.com)。2025年,Bidgely通过收购AI预测分析公司Grid4C,增强了其故障检测、诊断及分布式能源资源负载预测能力(来源:bidgely.com)。
最新动态
2024年,Bidgely报告其AI驱动的电动汽车智能及电网解决方案收入增长了四倍,显示出市场对这些产品的快速接受(来源:bidgely.com)。公司在2025年获得多项奖项,包括经济时报人力资源员工体验奖、Guidehouse Research的家庭能源管理领导者奖,以及Environment+Energy Leader的年度最佳电动汽车智能产品奖(来源:bidgely.com)。Bidgely还将其AI技术从传统机器学习升级到生成式AI和智能代理AI,推出了UtilityAI Pro,作为专为AWS、Snowflake和Databricks等公用事业数据环境设计的垂直AI平台(来源:businesswire.com)。这些进展彰显了Bidgely在能源AI领域的创新与领导力承诺。
工作环境
Bidgely招聘涵盖人工智能与数据科学、软件工程、销售、市场营销及面向公用事业的产品管理等多个岗位,体现其在能源分析领域的多学科融合(来源:site.bidgely.com)。公司强调以创新为驱动的文化,聚焦AI技术、稳固的公用事业合作关系及可衡量的客户影响。近期获奖情况凸显其以人为本的工作环境,注重员工体验与参与,营造了一个支持热衷于能源与AI专业人士发展的良好氛围(来源:bidgely.com)。
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