Sr Software Engineer

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)