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Kraken

Senior Software Engineer- Python

London
Posted about 21 hours ago
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Help us use technology to make a big green dent in the universe!

Kraken powers some of the most innovative global developments in energy.

We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.

It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.

Humboldt

Humboldt is a subteam of Flex Trading Enablement (Trading Optimisation). We sit at the intersection of commercial energy trading and the green transition, and we own Asset Backed Trading.

Asset Backed Trading went live in March 2026. It already runs in two countries, with more markets and features on the way. There is a lot of room to shape how it is built.

It models trading, ancillary service allocation, and dispatch for EU portfolios of batteries, solar and wind. We take market and position updates from Flex APIs, allocate energy and services that help stabilise the grid such as FCR and aFRR across the portfolio, and disaggregate those decisions to individual sites. We can both help traders make decisions about how to trade, and disaggregate said trades into per-asset dispatch decisions.

This is production software with genuine commercial and operational impact. It not only supports key traders' workflows, but also drives physical asset dispatch and the delivery of grid services, so we care a lot about getting it right. You will work with data scientists and traders to turn prototypes into reliable, well tested services they can trust.

The Role

We’re looking for a Senior Software Engineer to join Humboldt and help shape Asset Backed Trading as it grows into new countries and capabilities.

You will work in a Python monorepo of serverless services: event driven pipelines that ingest market and asset data, build optimisation problems, call solvers, and write dispatch and trading positions back out. You will also help evolve the interfaces with other Flex services and APIs that Asset Backed Trading depends on.

This Is a Great Role If You Enjoy

  • Owning production systems that have to be correct, not just available
  • Shaping a young service
  • Designing event driven architectures (queues, events, lambdas, APIs) that stay understandable as they grow
  • Turning messy domain rules into clear models, interfaces and tests
  • Working through new problems at the intersection of software architecture and energy systems modelling
  • Pairing with specialists (traders, data scientists, platform) without needing to be an expert in their field on day one
  • Raising the bar across software (typing, testing, observability, tooling, and thoughtful refactors), tooling, and ways of working

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You'll Do

  • Design, build and operate the Python backend services behind Asset Backed Trading
  • Own event driven flows from trigger to dispatch: queues, lambdas, events, and the Flex API integrations around them
  • Productionise new algorithms and market capabilities, working closely with data scientists so prototypes become reliable services
  • Help with team discovery for new epics, spanning software architecture and energy systems modelling
  • Improve reliability, latency, and operability through testing, monitoring, alarms, and careful refactoring
  • Contribute to infrastructure as code (CDK / CloudFormation) and deployment pipelines
  • Take part in architectural decisions as we grow Asset Backed Trading across EU markets and asset types
  • Support teammates through pairing, reviews, and shared problem solving
  • Help keep a high bar for typed, well tested Python in a domain where silent mistakes are expensive

What You'll Bring

We don’t expect everything, but experience in several of these areas will help.

Core skills

  • Strong Python experience
  • Experience building and operating backend services in production
  • Comfort with cloud platforms, ideally AWS (Lambda, API Gateway, SQS, EventBridge, DynamoDB, S3)
  • API design and domain modelling for complex business workflows
  • Writing robust, typed, well tested code (pytest, CI, 100% branch coverage, a real interest in catching bugs before production)
  • Strong communication and collaboration with both engineers and non engineers
  • Judgement in ambiguity: you can make trade offs explicit and keep delivery moving

Nice to have / especially relevant

  • Experience in problem solving, modelling, optimisation.
  • Event driven or serverless architectures at meaningful scale
  • Infrastructure as Code (CDK, CloudFormation, or Terraform)
  • Experience with Pydantic, strict typing, and mypy
  • Observability in production (CloudWatch, Grafana)
  • Exposure to energy, trading, optimisation, or other constraint heavy domains
  • Working in a monorepo with shared libraries and multiple deployable services

You do not need a background in energy or mathematical optimisation. Curiosity about the domain and a willingness to learn from traders and data scientists matters more than arriving with grid expertise.

Our tech stack

Backend and services

  • Python 3.13, uv, Pydantic
  • AWS Lambda, API Gateway, SQS, EventBridge, DynamoDB, S3
  • pytest, mypy, ruff in CI
  • Mixed Integer Linear Programs for expressing energy storage problems (owned with data science; we integrate with the solver)

Infrastructure and tooling

  • AWS CDK (TypeScript) and CloudFormation
  • aws-lambda-powertools for observability
  • CI/CD via AWS CodePipeline
  • Grafana dashboards and CloudWatch alarms

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Product and analysis

  • Databricks SQL, dashboards and notebooks for reporting
  • Jupyter, numpy, pandas, plotly for investigation
  • Cursor, Copilot, and a healthy amount of custom scripting

How We Work

  • Small, highly collaborative team with high trust and high ownership
  • No blame: we learn from mistakes by improving systems and process, not by finding fault
  • Optimise for impact on users
  • Pair when it helps, work independently when it does not
  • Sustainable pace
  • Ship quickly without dropping quality: small PRs, fast iteration, quality built in from the start

Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.*

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Location

London, England, United Kingdom

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