Open
Senior Full-Stack Engineer

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About Open
At Open, we believe insurance does not have to be complicated or costly. We're an AI-powered platform transforming insurance globally — making it more transparent, cost-effective, and customer friendly. Since launching in 2016, we've grown into a certified B Corporation, operating across ANZ and the UK.
Engineering is how we earn the trust of our partners and customers.
The UK is where our next chapter happens, and this role sits at the centre of it: you'll be the senior engineer our UK partners deal with, turning their requirements into live integrations and keeping the platform they depend on running.
What you'll do
You'll work on Open Embedded, our flagship product. It lets brands offer car, home, travel, landlord and purchase-protection insurance inside their own customer journeys, configured no-code by our partners, and run end to end by us from quote through to claim.
Where this role sits
Core feature development and major platform uplifts are owned by our engineering team in Australia. Your remit is the UK end: partner requirements and integrations, configuring and extending the platform to meet them, and keeping it running in region. You'll be hands-on in the same codebase — shipping changes yourself.
Responsibilities
- Reporting to the Senior Engineering Manager, you'll work with our partner-facing colleagues, Product, TechOps and Solution Architecture, and day to day with the AU engineering team.
- You'll also help build out UK engineering as we grow — starting with a mid-level full-stack engineer joining under you.
- This is a hands-on role: writing production code across the stack, working through integration problems with a partner's engineers, and on incident calls for what runs in the UK.
- You'll be measured on three things:
Partner delivery
- Own UK partner integrations end to end — from the first technical conversation through to a live, reliable embedded journey.
- Get into partner requirements early: work out what they actually need, what our platform already does, and what needs building.
- Turn that into work that ships — configuration and extension where our platform allows it, a clear case into the AU team where it doesn't.
- Cut the time from partner signature to live journey, quarter on quarter.
- Give Product and partner-facing colleagues an early, unvarnished read on sequencing, risk and trade-offs.
- Help us hire well, then set direction for the engineers who join you.
AI-native ways of working
- Work paired with agents across your workflow — design, code, review, test, ops and integration debugging — and set the bar for how fast a small team can ship.
- Use agents to take the repetitive weight out of partner support: triage, log analysis, first-line diagnosis and reporting.
- With Product and the AU team, bring Open's agentic capability for sales, claims and support to UK partners.
- Build with the evaluations, guardrails and human-in-the-loop patterns that let us deploy GenAI safely in a regulated industry.
- Hold a view on which problems an agent should own end to end versus assist on, backed by evidence from your own work.
Platform resilience
- Be the UK's technical line of defence for the platform: own availability, incident response and engineering health in region.
- Join the on-call rotation. Debug production across a partner boundary you don't control, then write the honest post-incident note.
- Write code others can change without fear: tested where it counts, observable in production, documented where the reasoning isn't obvious.
- Make sound design calls within your remit, and know which to escalate to the AU team or our solution architects.
- Work with TechOps, Solution Architecture and InfoSec on reliability, security and governance — including UK and EU data-residency considerations.
- Feed what you learn from partners and incidents back into the AU roadmap.
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.
Who this role isn't for
This is a broad, hands-on senior engineering role in a lean, high-trust environment. It rewards people energised by ownership, breadth and agentic leverage — not those looking for a defined lane or a large organisation.
Specifically, it's probably not the right fit if:
- You want to own the core product roadmap — that sits with our engineering team in Australia.
- You need greenfield to do your best work. Most of what you build extends a substantial existing platform.
- You want a fully specified ticket queue. Partner requirements arrive ambiguous and commercially loaded.
- You want to stop writing code. Most of your week is building, and we expect that to stay true as the team grows.
- You want to stay in one layer of the stack — in a lean team you'll be across the customer journey, the services behind it, and occasionally the infrastructure.
- You see AI as autocomplete, rather than something you've already restructured your work around.
- You want a purely advisory remit. This role owns delivery outcomes, not just recommendations.
What you'll bring
Required
- 5+ years building and operating production software — shipped, maintained and run by real users.
- Full-stack range — strong on one side and genuinely competent on the other.
- Comfortable in someone else's codebase — you can read a large system, find the right seam, and extend it safely.
- Integration instinct — you've debugged failures across a boundary you don't control: someone else's API, payload, or timeout. You reason about contracts, retries and idempotency by reflex.
- Credible with a partner's engineers — you can run a technical conversation with an external team and come out with a shared plan.
- Strong technical credibility in Python and modern AWS — you've owned services in production, including what happens when they break at 3am.
- Modern frontend — TypeScript and a component framework, with real care for the customer experience.
- Genuinely AI-native — you use AI agents daily, you've shipped something agentic to production, and can say what changed as a result.
- End-to-end ownership — something you designed, built, shipped, ran on-call and then improved.
- Some experience leading engineers, formally or informally — setting direction, giving hard feedback, helping someone level up.
- Modern delivery practices — trunk-based with strong CI/CD, and why that matters culturally.
- Confident communicator — design docs, pull requests and incident notes get written without being chased.
- Judgment about scope — ship the small useful thing now, keep the big rewrite in your back pocket.
- Bias for action — you spot issues early, fix root causes and push for simpler, faster, safer ways of working.


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Preferred
- Exposure to insurance, fintech, or regulated financial services.
- Experience in a partner-facing, solutions or integration engineering role alongside a core product team.
- Experience with configurable or no-code product platforms (embedded insurance, white-label sales flows).
- Having worked alongside — or led — engineers building AI or ML systems in production.
- Comfort with cloud-native data warehousing (Snowflake or comparable).
- Experience in a distributed team where the core engineering team is in another region.
- Familiarity with AI safety practices — evaluations, red-teaming, guardrails, human-in-the-loop.
- Degree in Computer Science, Software Engineering or related field, or equivalent experience.
Role location
Based in London, hybrid — three days a week in the office, a rhythm that supports collaboration and the fast, high-trust culture we've built. Flexibility on the other two days.
You'll work closely with colleagues in Sydney, including the engineering team that owns the core platform — writing decisions down properly and an early call once or twice a week, not a permanently shifted working day.
You'll need the right to work in the United Kingdom.
Why Open?
Open is on a mission to make it easy for everyone to get the most from their insurance. Insurance is one of the world's least digitally mature industries — confusing, paper-based and heavily intermediated. We launched in 2016 to digitise the entire insurance process, making it transparent, less costly and more reliable.
It's an exciting time to join Open and be part of a tech scale-up. We provide our team with:
- Highly competitive compensation, including share options — everyone shares in our success.
- High levels of autonomy and trust so you can do your best work.
- Growth opportunities internally — as you grow, your role can too.
- Flexible working — we are about impact, not time at your desk, including working from anywhere.
- Paid company parental leave, supporting all parents.
- Personal development allowance for learning and growth.
More about us
We're proud to be an equal opportunity employer that celebrates diversity and is committed to an inclusive environment for all employees. If you need any adjustments to take part in our process fairly, tell us and we'll make them — you don't need to explain why.
Open is a high-performing team that strives to achieve brilliant things every day, and we encourage you to apply even if your experience doesn't exactly match the job description. We're looking for people who are intellectually curious, courageous, innovative and passionate. Our culture is truly open: we're continuously challenging each other to live our values — Always open, Play to win, Be a force for good, No excuses. Most importantly, Open is for those that want to create change and have an impact. If that sounds like you, apply for this role and let's build the future of insurance together.
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