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# Senior Software Engineer - Backend & Distributed Systems Engineer

- **Company:** Permutable
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Cloud Computing, Databases, Continuous Integration, Linux, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Software Architecture, Software Engineering, Data Logging, Pulumi, Cloud Platform System, Large Language Models, Backend, Event Driven Architecture, Kubernetes, Real Time Data, Machine Learning Operations, Hardware Infrastructure, Functional Programming, Terraform, Automation Anywhere, Docker
- **Published:** September 5, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-software-engineer-backend-distributed-systems-engineer/46327095

## About the Role

infrastructure. 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. 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. #J-18808-Ljbffr

## Description

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


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