Software Engineer

Axle Energy; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A climate-tech company in London is seeking engineers to build impactful software for decarbonizing energy systems. The role requires backend development in Python and involves challenges in energy management and machine learning. Candidates should be motivated by climate change and possess a collaborative spirit. This position allows for a hybrid work model with 2-3 days in the London office.

Qualifications

• Experience with backend development in Python.
• Proficiency in using Docker for reproducibility.
• Ability to collaborate closely with data scientists.

Responsibilities

• Build software infrastructure for the decarbonised energy system.
• Control vehicle charging, heating systems, and home batteries.
• Develop solutions that are impactful for climate change.

Skills

Python

Docker

Figma

Machine learning

Job description

We’re hiring engineers who ship fast, build delightful products, and want to step into the arena in the fight against climate change.

We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (TechCrunch).

We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.

Read more about what we’re buildinghere.

You can expect:

• insane amounts of ownership
• hard technical challenges
• that what you build is commercially and environmentally valuable

In return, we ask for:

• the courage to build new things fast
• a commitment to real world impact over technical perfection
• a desire to help build and lead an exceptional and tight knit team
• deep-seated motivation to combat climate change

You shouldn't apply if:

• uncertainty scares you
• you aren't prepared to try, fail, and try again
• you're looking for a low intensity, low impact role

Interview process

1. Initial interview
2. Take-home exercise
3. Final interview (in-person)
4. Offer, references, and welcome to the team!

Tech stack

We like to build backends in Python, because it allows data scientists and engineers to collaborate closely and move quickly.

We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback.

Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.

️We deploy on GCP

We love the idea of fully remote work but it doesn't… work. For very early stage companies, people learn faster, get on better, and accomplish more when they're spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office.

We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.