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Sr Software Engineer

Scale Microgrids

New York, NY · Posted May 14, 2026

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This listing does not state pay. Across 50 open sr. software engineer listings that state pay, the middle half runs $160,500 to $192,000 and the median is $169,500.

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About the job

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