Axon Labs
Platform Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About the Company
Axon Labs is a next-generation systematic trading and research lab. We combine machine learning, neuroscience-inspired architectures (the Axon Cognitive Architecture), and high-performance engineering to build decision engines that run in live markets, where reliability and precision translate directly into performance. We are backed by Northzone, a16z Speedrun, and Concept Ventures.
Pay range and compensation package
- Competitive salary up to £200,000
- Performance-linked bonus
- Meaningful founding equity
The equity is real, and so is the upside if we get this right.
About the Role
We are already live, with multiple strategies running in production across venues on infrastructure we built ourselves: real-time data ingestion, low-latency messaging, research compute, and monitoring. What we don't yet have is one engineer who owns that platform end to end. That is this role. You will take what works today, make it bulletproof, and scale it into a real infrastructure advantage. This is a founding hire. You will work directly with founders, researchers, and traders, set engineering standards, and have direct influence over architecture from day one.
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.
Responsibilities
- Production infrastructure across multi-region cloud and latency-sensitive environments
- Reliable systems for live trading, multi-venue market data ingestion, and research compute
- Deployment pipelines that ship strategy and model changes quickly and safely
- Observability across data quality, execution, strategy, and infrastructure
- Resilience: failover, disaster recovery, and operational readiness for systems that lose money when they’re down
- The path from research prototype to production service, with real testing and monitoring
- Security architecture: IAM, networking, secrets, access control
- ML-serving infrastructure: low-latency model serving, feature pipelines, and experiment tooling
Qualifications
Likely background: You may come from Jane Street, D. E. Shaw, Two Sigma, Hudson River, Optiver, XTX, Citadel, an exchange or market-infrastructure business, or a top infra team at a serious technology company. You should have built and run production systems where downtime had a real cost, and you have supported researchers or traders.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Required Skills
- Deep Linux and networking fundamentals
- Strong cloud experience, ideally AWS (compute, networking, IAM, storage, observability)
- Strong Python; C++ for latency-critical paths is a plus
- Container orchestration with Kubernetes (or equivalent)
- Infrastructure as code (Terraform or equivalent), CI/CD and release engineering
- Data systems: PostgreSQL / TimescaleDB, Kafka, Redis, low-latency messaging
- Monitoring: Grafana, Prometheus, Loki, or similar
- Security-first mindset
Apply
If you’ve run demanding production systems and want to build the platform behind a next-generation trading and research lab, we’d like to talk. ayush@axonlabs.co
“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
Skills
Location