Sr Software Engineer

Scale
New York, New York, United StatesFull-timePosted Aug 29, 2026

About the role

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Responsibilities

  • Build web applications with modern, interactive UIs for operators and customers
  • Architect and maintain high-performance backend services and APIs to support real-time microgrid operations
  • Develop and enhance financial modeling features and reliable calculation engines
  • Design and validate mathematical optimization models for generator dispatch and fleet-level maintenance scheduling
  • Build and extend simulation infrastructure to validate optimization outputs
  • Design and maintain scalable data ingestion, transformation, and event-driven pipelines
  • Collaborate with product management and design to deliver robust software products
  • Implement logging, monitoring, and alerting for high availability microgrid software deployments

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred
  • 5+ years of experience with Python and JavaScript/TypeScript development
  • Experience with complex algorithm-driven problems and statistical modelling
  • Experience with FastAPI and microservices
  • Experience with PostgreSQL and relational database design
  • Experience with high-volume, time-series data processing
  • Excellent communication and collaboration skills

Skills mentioned

PythonTypeScriptFastAPIReactPostgreSQLMicroservicesEvent-Driven ArchitectureApache SparkSystem DesignAWS

About Scale

Scale is a vertically integrated provider of advanced energy solutions for data centers and large commercial and industrial facilities. By combining project design, engineering, and operational expertise with robust financing solutions, Scale provides customers with turnkey systems that optimize multiple on-site resources to deliver ultra-reliable performance, faster speed-to-power, lower energy costs, and reduced carbon footprints. Learn more at www.scalemicrogrids.com

Electric Power Generation51-200 employeesRidgewood, New Jersey