Senior Software Engineer, Quantile Energy

Algorithmic Energy Trading

£70-90k

Everyone on the team is expected to receive share options through our Employee Share Option Plan (ESOP) upon successfully completing their probation, giving you a stake in the long-term success you help create.

Kubernetes

Python

Mid and Senior level

Oxford

3-5 days a week in office (Central Oxford)

Data-driven energy trading company

Posted today

Data-driven energy trading company

1-20 employees

EnergyAnalyticsTradingSaaSAutomation

Posted today

£70-90k

Kubernetes

Python

Mid and Senior level

Oxford

3-5 days a week in office (Central Oxford)

1-20 employees

EnergyAnalyticsTradingSaaSAutomation

Company mission

Reinventing systematic energy trading with code, not gut feel.

Job

Company

Role

Who you are

Software Engineering Experience: Proven track record of building and operating production-grade systems
Python: With a focus on writing clear, maintainable, and tested code - this is where most of your day-to-day work will be
Databases: Practical experience designing and evolving database schemas, including managing migrations with tools like Alembic
Monitoring & Reliability: Experience with observability, production monitoring, debugging live issues, and designing systems that fail safely
Ownership & Collaboration: A proactive, collaborative working style, comfortable partnering closely with both traders and engineers, and taking full ownership of the systems you build

Desirable

Systems Engineering Language: Proficiency with systems-level programming languages e.g. Rust
Data Streaming: Experience working with high-throughput data streaming systems e.g. rabbitmq/NATS
High-Performance Systems: Experience building real-time, latency-sensitive platforms, such as exchange connectivity or streaming data pipelines
Observability Stack: Familiarity with modern observability stacks and tracing eg OTEL

What the job involves

Build reliable, production-grade systems in Python-our primary language across the stack, from data and strategy code to operational tooling
Contribute to our low-latency trading engine, written in Rust. Order management, exchange connectivity, market data handling, and risk controls.
Develop and maintain real-time data pipelines (RabbitMQ, PostgreSQL, DuckDB), infrastructure (including Kubernetes and ArgoCD), and cloud deployment tooling
Collaborate with Quant Traders to turn strategy ideas into robust, deployed systems

Application process

1. A 30-minute video call on Google Meet to get to know our Founding Software Engineer, Max, or CTO & Co-Founder, Michael
2. A 40-minute video call with our tech team, starting with a 10-minute presentation on a project you’ve worked on, either professionally or in your free time. We’ll ask you to walk us through what you built, your role in the project, and some of the technical decisions you made
3. A 90-minute technical interview with our tech team. You’ll work through a coding and architecture problem during a 60-minute session, with your camera off so you can focus on the task. We encourage you to ask questions, clarify requirements, and discuss your thinking or seek guidance as you work through the problem
4. An in-person opportunity to get to know members of our trading, quant, and tech teams, and for us to get to know you

Our take

As energy trading becomes more complex, traditional methods of building and implementing strategies are failing to keep up with the market. Quantile Energy exists to combat this, bringing automation and data-driven decision making to the forefront of this space.

At Quantile Energy, every strategy is written as code. Traders and developers work together to design and deploy these strategies, which rely on every decision being logged and every outcome being analysed. This robust approach means everything is traceable, which importantly centres both accountability and precision in the process.

As a young company, Quantile Energy still has much to build, and a strong team will be central to achieving its vision. We look forward to watching the company develop as it brings to life an exciting solution that has every chance to upheave the realm of energy trading.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Jun 2025

$1.5m

Early VC

Total funding: $1.5m

Company benefits

Participation in Employee equity programme
Vitality Health Insurance
Additional day of annual leave for your birthday
Free lunch Friday and fully stocked fridge
Competitive salary with regular reviews + Pension Plan contributions
Regular company funded socials

Company values

Fully Systematic & Accountable - We run 100% systematic strategies, where every decision is logged and every outcome analyzed. Precision and accountability drive everything we do
One Team, One Flow - Our Quant Traders and Quant Developers work as a single unit; designing, coding, and deploying together for maximum efficiency and insight
At Quantile Energy, every trading strategy is written as code, making each decision transparent and traceable so every step can be understood and verified.
Optimized for Focus - We automate repetitive workflows and operations so our team can concentrate on high-impact strategy development and smarter forecasting

Company HQ

City Centre, Oxford, UK

Articles

The Risks You Can’t See: Why Short-Term Energy Trading Needs a New Playbook

Leadership

Matthew Bird

(Co-Founder & CEO)

Previously co-founded and was Head of Trading at Pure Power Trading. Was also Head of Short Term Trading at Habitat Energy, UK Power and Gas Trader at ENGIE, and Commercial Manager at Peak Gen Power.

Rasmus H. Millfors

(Co-Founder & COO)

Prior to his career in energy, Rasmus built and scaled complex businesses across multiple sectors, including co-founding Pure Power Trading. He now leads our HR, Finance and Operations functions.

Michael

(Co-Founder and CTO)

People progressing

Max Herbert

Joined Quantile Energy as its first hire. Promoted to Founding Engineer & Partner within a year, now leading the real-time trading platform and infrastructure across multiple domains.

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