Senior Software Engineer for Energy Grid and Optimization

Scale; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Scale is seeking a full-stack software engineer to build software that efficiently manages microgrids and distributed energy resources. You’ll report to the Director of Software Engineering and work a hybrid schedule in our New York City office (Union Square).

Responsibilities include front-end UIs, high-performance backend services, financial modeling features, and optimization of MILP/LP problems with Pyomo and solvers.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred.
• Experience with energy modeling and optimization.
• Experience with convex/constraint-based optimization problems and statistical modelling.
• Constraint modeling frameworks (Pyomo) and 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) and deployment of edge devices.
• Experience with SCADA/energy protocols (Modbus, DNP3, OpenADR, IEEE 61850).
• Excellent communication and collaboration skills.

Responsibilities

• Front-end development: 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, 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 solvers for generator dispatch and fleet-level maintenance scheduling.
• Build and extend simulation infrastructure (rolling dispatch, Monte Carlo) to validate optimization outputs and tune models.
• IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines.
• System design: collaborate with product management and design to deliver robust software products.
• Reliability & observability: implement logging, monitoring, and alerting for high availability 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 and maintainability.

Skills

React

FastAPI

PostgreSQL

Time-series data processing

Distributed energy resources modeling

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or related field

Tools

Pyomo

HiGHS

Gurobi

GLPK

SCADA platforms (Ignition)

Edge devices management

MQTT

Sparkplug B

AWS IoT Core

Job description

Scale is seeking a full-stack software engineer to build software that efficiently manages microgrids and distributed energy resources. You’ll report to the Director of Software Engineering and work a hybrid schedule in our New York City office (Union Square).

Responsibilities include front-end UIs, high-performance backend services, financial modeling features, and optimization of MILP/LP problems with Pyomo and solvers.