Build software to manage microgrids, develop web applications, backend services, financial modeling, optimization models, and data pipelines.
We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry.
This role will report to our Director of Software Engineering and be based in our New York City office (Union Square area).
Key responsibilities will include:
- Front-end development: build web applications with modern, interactive UIs for operators and customers
- Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale
- Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making
- Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning
- Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements
- IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B)
- System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals
- Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments
- Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation
- Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainability
The Ideal Candidate
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred
- 5+ years of experience with Python and JavaScript/TypeScript development
- Energy experience and modeling, optimization
- Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems
- Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK)
- FastAPI and microservices experience
- React for front-end development
- PostgreSQL and relational database design
- Experience with high-volume, time-series data processing
- Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core)
- Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices
- Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850
- Excellent communication and collaboration skills to work across teams with evolving requirements
Scale Microgrids Ridgewood, New Jersey, USA Office
45 N Broad St, 3D, Ridgewood, NJ, United States, 07450
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design and develop AI capabilities for CrowdStrike’s cross-platform endpoint sensor across macOS, Linux, and Windows. Responsibilities include operationalizing machine learning models, building telemetry pipelines for training and inference, integrating features with core OS subsystems, debugging performance and memory issues, and leading architecture, delivery, mentoring, and cross-functional collaboration.
Top Skills:
CC++Data PipelinesEbpfLinuxMachine LearningmacOSOn-Device InferenceSwiftWindowsWindows Driver DevelopmentWindows Os Kernel
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Develop and operate a large-scale internal cloud management platform. Build APIs, UIs, CI/CD pipelines, and developer productivity tools using Go and TypeScript. Maintain Temporal and Argo Workflows pipelines, integrate development tooling, improve SDLC efficiency, support SOC 2 compliance, and collaborate with engineering, security, infrastructure, and SRE teams. Participate in on-call operations and apply AI technologies to improve workflows and decision-making.
Top Skills:
AlertmanagerArgo CdArgo WorkflowsCi/CdDebianDockerGoGoreleaserGrafanaHelmJavaScriptJenkinsKubernetesKustomizeLinuxPrometheusPulumiPypiTemporalTerraformTypescript
Big Data • Information Technology • Software • Analytics • Energy
Develop and maintain C#/.NET software for electric and gas distribution engineering tools. Implement features, fixes, integrations, tests, and CI/CD automation while configuring enterprise systems for customer needs. Collaborate in Scrum, participate in reviews, reduce technical debt, document processes, and mentor teammates. The role may involve GIS or Enterprise Asset Management integrations and requires strong software development experience in utility or energy infrastructure environments.
Top Skills:
.NetArcgisC#Ci/CdCloud ApisGe SmallworldGitIbm MaximoIntergraph G/TechnologySAPVisual Studio
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
