Owen Thomas | B Corp™
Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid

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Product-Focused Full Stack Engineer (Python, Django) | Go, GraphQL, Flutter | High Ownership, End to end | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid
Product-Focused Full Stack Engineer (Python, Django)
| Go, GraphQL, Flutter | High Ownership, End-to-End | AI Infrastructure Scale-Up | £60-120k + Equity | London Hybrid
The Company – Building Intelligent Software for Operational Efficiency at Scale
We’re a fast-growing technology company using AI and automation to transform daily operations for businesses. Our platform combines real-time data, automation, and modern software tooling to help organisations make faster, smarter decisions and streamline workflows.
With strong validation, revenue growth, and expansion plans, we’re entering a critical innovation phase where engineering drives product enhancements and long-term growth.
This is an opportunity to work at the heart of tech-driven product innovation—with influence, visibility, and tangible impact.
The Role
You’ll join a cross-functional product team responsible for building, scaling, and evolving core system capabilities in an end-to-end full-stack capacity.
This role demands someone who thrives on ownership, enjoys fast iteration, and relishes working across backend services, APIs, and frontend systems. Expect to collaborate closely with data scientists, product managers, and designers to solve complex real-world challenges.
Responsibilities
- Building and shipping end-to-end product features across backend and frontend architectures
- Developing and scaling data-driven backend services in Python (Django), contributing to Go microservices, and maintaining accuracy and performance
- Designing and evolving APIs, data pipelines, and system integrations with GraphQL and distributed architectures
- Developing modern frontend experiences using Flutter, ensuring seamless user flows and scalable interactions
- Collaborating with product and design teams to tackle impactful, high-ROI technical challenges
- Monitoring, optimising, and securing live systems for resilience, performance, and reliability
- **Shaping technical practices, architectural choices, and engineering roadmaps—helping refine systems for long-term scale
- Fostering engineering excellence with code reviews, mentorship, and design systems
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
Technical Stack
Backend
- Python (Django) – Core framework for critical business logic
- Go – Microservices, real-time data processing, third-party integrations
- Kubernetes & cloud-native infrastructure – Scalability and operational automation
- Monitoring and observability – Suppression of outages, metrics-driven debugging
Frontend
- Flutter – Modern, high-performance cross-platform applications
- GraphQL – Data queries, real-time updates, and API-first development
DevOps & Systems
- CI/CD pipelines – Rapid, reliable deployments
- Modern integration tooling – eventing, async workflows, and automation
Requirements
Essential Technical Knowledge & Experience
- 3+ years (dsult leadership experience preferred) in software engineering
- Thorough Python/Django expertise – building and maintaining resilient backend systems
- Experience with Go (or strong potential to build proficiency)
- Frontend fluency (Flutter, React, etc.) – cross-platform application logic
- Solid grasp of distributed systems, APIs, and scalable architectures
- Code craftmanship – writing clean, pragmatic, distaster-resistant solutions
- Scalable database design – optimising data flow and response times


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Personality & Collaborative Fit
- Shaping complex systems end-to-end with high ownership
- Self-starter mindset – thriving in fast-paced, evolving environments
- Strong communicator – bridging gaps between engineering, product, and design
- Curious developments – staying ahead of technical trends and debates
- Startup grower – loves being part of transformative tech and business outcomes
Startup or scale-up experience is a plus, but a robust engineering foundation matters most.
Interview Process
- Introductory chat – sync on motivations, goals, and fit
- Technical discussion – peer jamming with the team
- Practical technical or systems interview – assessing creativity, problem-solving, and craft
- Cultural & growth conversation – clarifying priorities, vision, and team dynamics
Why Join Us?
- High-impact platform engineering – shaping an AI-powered system from the ground up
- Full-stack ownership – from Python microservices to Flutter UI to cloud-native deployments
- Equity opportunity – early shares in a high-future-value business
- Outcome-driven culture – deliver real value, grow comprehensively
- Hybrid setup – office-based in London with flexibility and team bonds
£60-120,000 base salary + performance-equity packages.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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