Permutable
Senior Software Engineer - Backend & Distributed Systems Engineer

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About Permutable
At Permutable, we build real-time AI systems that transform large volumes of global news, market, and proprietary data into market intelligence for financial institutions.
We are moving towards a more real-time, event-driven, and agent-driven architecture. We are looking for a Senior Software Engineer to help design and build the backend services, distributed systems, and cloud infrastructure behind it.
This is a hands-on software engineering role with end-to-end production ownership. You will work directly with our founder and engineering team and have significant influence over how our next generation of technology is designed and built.
What You’ll Do
- Build Production Backend Systems: Design, build, and maintain reliable Python services, APIs, and data-intensive applications operating at scale.
- Develop Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real-time services using messaging, queues, asynchronous processing, and distributed workflows.
- Build Systems for AI Agents: Develop the production software required to run increasingly agent-driven AI workflows, including state management, task execution, model routing, retries, and observability.
- Scale our Cloud Platform: Build and evolve highly available production systems across AWS, Kubernetes/EKS, ECS, Docker, RDS/PostgreSQL, and S3.
- Productionise AI Workloads: Work closely with our AI engineers to deploy and operate NLP, LLM, and quantitative-model workloads, including workloads using our in-house GPU infrastructure.
- Own Software Through to Production: Take responsibility for testing, deployment, performance, monitoring, and reliability rather than handing code over to a separate operations team.
- Automate Delivery and Infrastructure: Manage infrastructure using Pulumi or Terraform and improve automated testing and deployment through GitHub Actions.
- Improve Reliability and Observability: Build effective monitoring, logging, tracing, and alerting across our data, service, model, and agent infrastructure.
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.
What We’re Looking For
- 7+ years of professional experience in software engineering, backend engineering, distributed systems, platform engineering, or a closely related role.
- Strong Python experience, including building and maintaining production software, services, or APIs.
- Deep AWS experience, ideally including EKS or ECS, RDS/PostgreSQL, S3, and Lambda.
- Distributed Systems Experience: A strong understanding of event-driven architectures, messaging, asynchronous processing, and distributed workflows.
- Strong Engineering Fundamentals: A good understanding of software architecture, Linux, networking, databases, and cloud infrastructure.
- Production Ownership: Experience taking systems from design and implementation through to deployment, monitoring, and ongoing operation.
- Infrastructure-as-Code: Experience with Pulumi, Terraform, or an equivalent framework.
- CI/CD and Automated Testing: Experience with GitHub Actions or similar tooling, automated testing, and reliable deployment processes.
- Startup Mindset: Proactive, resourceful, and comfortable taking responsibility in a small, fast-moving engineering team.


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Bonus Experience:
- Experience with Apache Airflow, Kubernetes, real-time data platforms, AI/ML infrastructure, LLM agents, GPU infrastructure, or financial-market systems would be useful, but is not essential.
Why Permutable?
- Real Ownership: Take responsibility for important production systems and influence how they develop.
- Technically Demanding Work: Build across backend software, distributed computing, cloud infrastructure, and production AI.
- Direct Influence: Work closely with our founder and have a meaningful voice in architecture and technology decisions.
- Real Production Impact: Your work will quickly reach production and support leading financial institutions.
- Build the Next Generation: Help shape our move towards a real-time, event-driven, and agent-driven architecture.
- Hybrid Flexibility: Spend at least three days a week in our Vauxhall hub.
“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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