Software Engineer (LP) – Remote

Switchdin

9h•Remote

About The Position

At SwitchDin, we’re building the software powering the energy transition. Our platform enables utilities, commercial energy users and technology partners to integrate and manage renewable energy, battery storage, electric vehicles and distributed energy resources at scale. From virtual power plants to microgrids, our technology helps create a cleaner, smarter and more resilient energy system. We’re an Australian technology company with a growing international presence across Europe and North America, and we’re looking for a highly organised Product Operations Manager to help our Product team operate at its best. About the role We build the optimisation engine that decides how distributed energy resources – batteries, solar and controllable loads – are dispatched across customer sites to minimise energy costs and maximise value. We’re looking for an optimisation engineer to own and advance that engine: the mathematical models, the market and forecasting inputs that feed them, and the data pipeline and reporting that prove the value delivered. This is a hands-on role for someone who’s equally comfortable formulating a linear program and shipping the code that runs it against live sites.

Requirements

Strong grounding in mathematical optimisation – linear/mixed-integer programming and solver experience
Proficiency in Python for both modelling and production code
Solid data engineering skills – working with large time-series/telemetry datasets, cloud data stores, and query layers
Comfort with forecasting / time-series modelling
An empirical, experiment-driven mindset with the discipline to validate results against real data
Clear communication – able to translate model behaviour and results for non-specialist stakeholders

Nice To Haves

Experience in energy, DER, batteries, VPPs, or electricity markets (AEMO/NEM familiarity a strong plus)
Exposure to AWS data services (DynamoDB, S3, IoT Core) or similar
Experience building analytics dashboards / reporting for end customers
Background bridging research-style modelling and production software delivery

Responsibilities

Develop and improve our optimisation algorithms – linear/mixed-integer programming for battery dispatch, demand-charge management, and grid import/export constraints (global and rolling-horizon formulations)
Model energy-market and tariff structures (wholesale/spot, retail tariffs, demand charges) and integrate market data feeds (e.g. AEMO dispatch/pre-dispatch)
Build and refine forecasting inputs, particularly PV generation and load forecasts, and wire them into the optimiser
Run site simulations and evaluations to validate performance, investigate anomalies, and quantify realised savings
Support the data pipeline behind the optimiser – data-lake queries, telemetry stores, and cloud data services
Roll out the optimiser to new and existing customer sites, and build the reporting/visualisations that communicate cost savings and ROI to stakeholders
Experiment rigorously – prototype, measure, and know when to discard an approach