About Modo Energy
The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build benchmarking, forecasting, and valuation tools that the worlds most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, theres a good chance Modo data was in the room. Founded in 2019, were 75+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment its scaling globally.
Python Engineer
At Modo Energy we’re building an AI platform for energy markets — combining LLM agents, retrieval pipelines, and real-time market data to create an AI analyst that can reason about complex energy systems. We’re an AI-native engineering team — everyone uses AI coding tools and many of the systems we build are designed to be consumed by AI agents as much as humans.
The role
We are hiring a Python Engineer to join our Terminal team responsible for the backend platform & infrastructure. The Modo Terminal is our core product - a data and research platform that energy market professionals use every day to make better decisions. It serves real-time and historical data, proprietary research, and analytical tools across Global energy storage markets. Youll own the backend systems that make the Terminal reliable, fast, and easy to build on: APIs, databases, deployment infrastructure, and developer tooling. As the team grows and the product becomes more ambitious - the platform needs to grow with it. Youll work in a small cross-functional team with a lot of autonomy. We value engineers who take ownership of problems end-to-end, care about the quality of what ships, and arent afraid to challenge how things are done.
Responsibilities
* Build and maintain the backend services and APIs that power the Modo Terminal, running on Django and Python.
* Design and improve data pipelines that ingest, transform, and serve energy market data - ensuring reliability, correctness, and performance at scale.
* Own AWS infrastructure and deployment end-to-end. We use Terraform, and youll be involved in the full lifecycle from local development to production.
* Build monitoring, observability, and alerting infrastructure - so we catch problems before our customers do.
* Design internal tools (CLIs, APIs, developer utilities) that make the team faster and reduce friction in day-to-day workflows.
* Work directly with domain experts (energy analysts, data scientists) to make sure the platform serves data that is accurate, timely, and useful.
* Contribute to the infrastructure that supports our LLM-powered AI Analyst - retrieval pipelines, tool design, and systems that let models work with energy market data effectively.
About You
* 5+ years of Python experience. Strong backend fundamentals - you write clean, well-structured code and youre comfortable owning services end-to-end, from API design through to deployment and monitoring.
* Real experience with AWS and infrastructure-as-code (Terraform). Youve deployed and maintained production services, not just experimented in a sandbox.
* Proficiency with Django, FastAPI or similar async Python frameworks.
* Hands-on experience with data pipelines, relational databases (PostgreSQL), and building systems that serve data reliably at scale.
* Familiarity with LLM-powered applications is a strong plus - whether thats RAG pipelines, tool-calling architectures, or agentic systems. You dont need to be an ML engineer, but you should be curious and ready to build the infrastructure these systems run on.
* Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). We write a lot of code with these tools and expect you to be fluent - knowing when to trust them, when to intervene, and how to get the most out of them.
* Good taste and judgment. Youll make constant decisions about system design, data modelling, and whats good enough to ship versus what needs more work. We want someone who cares about the end result, not just getting it to compile.
* Comfort working in a small, fast-moving team where youll be expected to figure things out, make tradeoffs, and ship.
* You have full lifecycle experience, owning projects end-to-end from design and development, through testing into deployment in a live production environment.
Nice to have
* Experience with energy markets.
The Company
* At Modo Energy, were on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero.
* Were a dedicated and passionate team building a category-defining business, working on one of the worlds most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.
* Hybrid Work Environment: This role is hybrid, with time split between working from home and our London office (Euston Square), with in-office days from Tuesday through Thursday.
Salary & Benefits
* Competitive market rate – we want the best engineers!
* Employee Equity Scheme.
* Private Top-Tier Healthcare and Dental coverage with Bupa, Salary sacrifice Pension with 3% employer contribution; 25 days annual leave (excluding bank holidays), plus 5 flexible days to be taken on a Monday or a Friday. And lots of snacks and drinks – obviously!
What You Can Expect From Us
At Modo Energy, we believe that exceptional work deserves exceptional reward. Were a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what were trying to build. Youll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company thats defining a new category in the global energy market. Were hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. Were looking for people who want to do the best work of their careers. If thats you, we want to talk.
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