Senior Modelling Software Engineer - Chronos
✨ AI Summary
Aurora Energy Research, working in the energy and decarbonization sector, is hiring a Senior Modelling Software Engineer for its Chronos battery storage product in Oxford. The role involves leading feature development and mentoring juniors in a small team, with a tech stack centered on Python, TDD, CI/CD, containers, and agentic-first practices. Requires 6+ years of professional Python experience, plus skills in architecture, DevOps, and mentoring. Hybrid work and visa sponsorship are available, with perks including private medical and dental insurance.
We’re looking for a Senior Software Engineer to help us build and maintain the Python codebase behind Aurora’s Chronos battery storage modelling product. You’ll work within a small team (4-6 people) in a collaborative engineering environment, leading feature development and improving code quality, maintainability, and developer experience in the model stack used across our business.
You’ll thrive here if you enjoy architecting and developing clean, maintainable Python, shaping libraries and packages that other teams rely on, while raising engineering standards across the organisation and empowering your junior colleagues to do their best work through coaching and mentoring.
The position suits an individual with 6+ years of experience in Python software engineering who is interested in applying software engineering techniques to modelling software solutions.
- Manage on-time delivery of robust and scalable model features.
- Coach, mentor and line manage junior colleagues, supporting their development and engagement.
- Design, implement, and maintain Python modules/packages in the modelling codebase.
- Innovate in wider software architecture and data orchestration to improve scalability and developer experience.
- Improve code quality and developer experience by refactoring for clarity, strengthening interfaces and simplifying implementations.
- Champion automated testing and TDD; driving the adoption of modern, agentic-first software engineering practices in the model development team.
- Lead constructive and empathetic code reviews and technical design discussions.
- Professional Python experience (6+ years) in a team‑based software environment, delivering components used by other teams, user groups or customers.
- Experience managing and mentoring junior colleagues.
- Demonstrable experience in applied software architecture and design patterns.
- Disciplined experience of Test Driven Development and Continuous Delivery.
- Experience in DevOps/Infrastructure development including containers and CI/CD.
- Experience stewarding internal libraries, packaging and dependency management at scale.
- Experience in effective and efficient agentic-first development.
- An interest in working in the energy/decarbonization sector.
- Experience engaging with internal stakeholders and colleagues in other teams.
- Experience developing software for modelling, simulation or mathematical optimisation.
- Private Medical Insurance
- Dental Insurance
- Parental Support
- Salary-Exchange Pension
- Employee Assistance Programme (EAP)
- Local Oxford Discounts
- Cycle-to-work Scheme
- Flu Jabs
Unfortunately, we are unable to accept applications via email, telephone, or social media platforms. To be considered for this position, please submit your application using the link provided. Applications submitted through any other channel will not be reviewed.
About the Company
Aurora Energy Research is a company with a dedicated team of over 800 professionals representing more than 60 nationalities. Auroreans serve some of the world's most influential participants in the energy sector, including utilities, investors, and governments. Their extensive global presence spans EMEA, APAC, NORAM, and LATAM, driving innovation and excellence worldwide. They aim to lead the way in enabling the global energy transition, shaping the narrative around renewable energy. With their ESG strategy, their aim is to reinforce commitments that reflect in their business, global operations, and company culture.
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