The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it.
We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room.
Founded in 2019, we're 80+ 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 it's scaling globally.
Modo Energy's engineering team builds the systems behind the Modo Terminal, the data, research, and agentic platform that energy market professionals rely on every day. We're growing fast, and our ambitions are growing faster: from serving data and research to letting users (and their AI agents) query, forecast, and act on it directly.
We're hiring backend Python engineers to join one of our product teams: Terminal, Data, Ko (our AI Analyst), or Modelling. Each team owns a business capability end-to-end, including its own APIs, data pipelines, AWS infrastructure, and developer tooling. Wherever you land, you'll be building production systems from day one, with ownership over what you ship and how.
We're looking for engineers who learn fast and go wide. You won't be boxed into a single layer of the stack; the best people on our teams move fluidly between building a feature, hardening a pipeline, fixing an infra issue, and automating away the next one. If you're the kind of engineer who picks up a new tool, library, or part of the codebase without needing much of a runway, this is built for you.
What You'll Do- Build and maintain backend services and APIs, on Django, FastAPI, or similar, that power a live product used daily by energy market professionals.
- Design and operate data pipelines that ingest, transform, and serve energy market data reliably and at scale.
- Own AWS infrastructure and deployment end-to-end using Terraform, from local development through to production.
- Build the monitoring, observability, and alerting that let your team catch problems before customers do.
- Split your time between shipping new features and keeping the platform healthy. Maintenance, performance, and production issues are a normal, expected part of the job, not an interruption to it.
- Design internal tools such as CLIs, APIs, and MCP servers that make your team and others faster, and that let both humans and AI agents work with our data safely and effectively.
- Work directly with the people who understand the domain (energy analysts, data scientists, modellers) to make sure what you build is accurate and actually useful.
- Contribute to the infrastructure behind our LLM-powered AI Analyst as needed: retrieval pipelines, tool-calling, and the plumbing that lets models work with real energy market data.
- Cross into the parts of the stack outside your core comfort zone when the team needs it, whether that's a bit of frontend or a bit of deeper infra, and pick up what you don't already know.
The Essentials
- 3+ years of professional Python experience, with strong backend fundamentals. You write clean, well-structured code and are comfortable owning something end-to-end, from design through deployment and monitoring.
- Real, hands-on experience with AWS and infrastructure-as-code (Terraform). You've run production infrastructure, not just experimented with it.
- Proficiency with Django, FastAPI, or a comparable async Python framework.
- Experience with data pipelines and relational databases (PostgreSQL), and building systems that serve data reliably at scale.
- Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). You know when to trust them, when to intervene, and how to get real leverage from them. We write a lot of code this way.
- A fast learner with good judgement, comfortable making calls on system design and what's good enough to ship, and genuinely energized by picking up unfamiliar tools, stacks, or problem areas rather than staying in one lane.
- Comfortable in a small, fast-moving team where you're expected to figure things out, make trade-offs, and ship, with real autonomy over how.
Nice to have
- Experience with LLM-powered applications: RAG pipelines, tool-calling architectures, or agentic systems.
- Experience designing external-facing APIs, including versioning, backwards compatibility, and OpenAPI/REST standards.
- Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka.
- Experience with energy markets.
Modo Energy is an equal opportunity employer. Employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate on the basis of race, colour, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by law.
If you require assistance or a reasonable accommodation during the application or interview process, please contact us at [email protected].
At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build.
You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're 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.
We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
Skills Required
- 3+ years professional Python experience
- Hands-on experience with AWS
- Experience with infrastructure-as-code (Terraform)
- Proficiency with Django, FastAPI, or comparable async Python framework
- Experience designing and operating data pipelines and relational databases (PostgreSQL)
- Experience running production infrastructure, deployment, monitoring and observability
- Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar)
- Experience with LLM-powered applications (RAG pipelines, tool-calling, agentic systems)
- Experience designing external-facing APIs, including versioning and OpenAPI/REST standards
- Familiarity with data infrastructure such as Airflow, Spark, Iceberg, or Kafka
- Experience with energy markets
What We Do
Modo Energy is the all-in-one platform for battery energy storage analysts. Started in 2020 by co-founders Q and Tim, Modo Energy has become one of the most trusted voices in the ever-expanding battery energy storage market. Through an integrated mix of price forecasts, revenue benchmarking, in-depth research, educational materials, real-time market screens, and downloadable data - Modo users have all the tools at their fingertips to finance, build, and operate the energy system of the future. Modo Energy’s most recognizable products include: - Benchmarking Pro, which tracks the most valuable revenue streams for individual storage sites and compares performance across leaderboards. - Forecast Pro, a 2050 projection built for energy storage and used to finance future battery projects. - The Energy Academy, a series of educational videos explaining the mechanics of the electricity market. - Modo: The Podcast, on which some of the most respected doers, disruptors, and thought-leaders in the industry share their experiences and insights with a global audience. - And much, much more. Head to the platform to explore Modo's products for yourself - sign-up is free. Want to find out how Modo Energy can help you navigate the evolving battery energy storage landscape? Get in touch with a member of the team today. Our platform includes specialist data, organised so that our users can intuitively navigate the wider market. We also provide written and video insights that cut through the complexity of the industry. Here at Modo, we build connections. We stand by our core company values of inclusivity, transparency, impartiality. We work closely with others throughout the energy industry to deliver the information and insights people need in ways that make sense. To learn more about Modo, visit modo.energy
