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Senior Backend Engineer (Node.js)

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Senior Backend Engineer (Node.js)
Senior Software Engineer
About The Company
Emma is the app to manage all things money.
Our mission is to empower millions of people to live a better and more fulfilling financial life.
About Our Roots
- Founded by engineers who prioritise coding, product, and data
- Three core pillars for our tech culture: innovation, scalability, and financial empowerment
Raised over $8m+ from:
- Connect Ventures (investors in Curve, TrueLayer, CityMapper)
- Kima Ventures (exclusive early Transferwise investor)
- Aglaé Ventures (early investor in Netflix, Airbnb)
With support from elite angel investors who’ve built and scaled top-tier companies.
Who We Are
Our culture is defined by:
- Bold decisions
- Determined execution
- Focused energy
- Autonomous mindset
"We run Emma like a professional sports team. You move fast, own your work, and hold yourself (and others) to gold standards. If that’s not you, this isn’t the place for you."
Key Responsibilities
Core Impacts
You’ll work directly with our CTO across core backend challenges:
- Scaling infrastructure (handling millions of users)
- Optimising data processing pipelines
- Shipping new features + critical integrations at pace
- Embedding automation to accelerate our hyper-growth
Daily Focus Areas
🔹 Infrastructure & Scaling
- Design, build, and maintain resilient systems
- Deploy high-performance databases (Vitess, MySQL, CockroachDB, BigQuery)
- Optimise for latency atop Redux, gRPC, and cloud-native microservices
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.
Start with a chat, not a search bar
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.
🔹 Complex Product Engineering
- Week after week, we launch a feature—- practical examples: user-facing moneyflow analytics, proactive overdraft alerts
🔹 Cutting-Edge Data & ML
- Tackle clustering, prediction, fraud detection with high-cardinality GPU-accelerated techniques
- Leverage tech stack: TensorFlow (assuming common frameworks apply), Vitess SQL layers, and KO פרס. :scalar optimisation using massively parallel data management
Key ML/Analytics Challenges Today
📊 subtly cluster subscriptions ⭐ predict late payments/
card blocksfor smarter proactive UI nudges
Tech Stack snap Languages: TypeScript / JavaScript Frontend: React Native & Next.Js Libraries & Protos: gRPC Data & Oh-scales: Vitess→Kubernetes [[and Cockroachdb]] Orchestration: Terraform / k8s assertions Monitoring: Speedy Observability + Grafana + Prometheus Observation via Alerting: alerts defined by Sentry, Key CD scopes, Metabase.
Requirements
✅ Senior dev (5+ years building under heavy hardship: scale) ✅ Excited by the puzzle of everyday financial data bringing value ✅ Leverage this: autonomy + high ownership ✅ Drive continual excellence, both in yourself but usually measured against peers than reqs ✅ Prove you:
- “Just say yes to individual pieces of sparkling complexity.”
- Solve by minimizing iteration friction through tooling or process
- “Carpe momentum”: upgrade own knowledge,—dub aid pull off emergencies with grace
preferred soft skills are your humble opinionality.
How We Collectively Wear the Competition


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- Results-oriented, **scale avoiding appeasing decking randomness
- (Mock press quote: *"TWENTY EIGHTY-DAY PRA-CTICE episodes hacked at turn projections that Fort Knox is: it takes two years to add transfer feature.” More abbreviated.)
Interview Process
- Technical Test: Pull request–style project; not the pen-n-paper grind.
- Pair: Internal Recruiter has your CV sausage [token async].
- CTO Call: [jargon like] baseline *s practice with SRE + pinning trade-offs.
- Technical CEO Lab: Vis-a-vis enterprise domain.
Perks
yours for the taking (corporate gymlink)
💰 Full paid sick leave 💰 Employer matches Employee Pension (35+ UK standard, 5% set)
💻 MacBook straight as an instrument. 🌐 Lifetime access to Emma Pro Premium Subscription Package.
💽 Growth & Recognition
- Pass-it-on: a flat roaring referral scheme = £1000 for your vein friends.
- Isa strat Annual performance review -> salary escalation step-mob walker.
🏔️ Work life: headquarters Model No WFH option. Mon-Fri office daily deal.
Graduation from senior status: One month sabbatical every 5 years.
Outstanding 1-year+1 host with direct boss-driven steering (“fail-fatter” endured), SLOs **0 Tram” controlled through tech-debt beds and team complicity.
🚀 Prepare: fintech grinds: “think like Bolt: unwilling suspension casualty.”
Ready to join? Completing application = adopt ice sugars from data pm forgiveness.
👩🏽💻
The Vermont Building, 1st Floor / 18 Brunswick Place
London N1 6DZ
“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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