Job Title: Software Engineer – £200k Base + Bonus + Benefits
Client: Scale up Tech firm
Experience Level: 5+ years
Salary: Up to £200k + Bonus + Package
Location: London (Hybrid)
About the Client
Our client is an ambitious, venture-backed technology scale-up building the next generation of distributed compute infrastructure for data-intensive applications. They’re tackling some of the hardest problems in modern software engineering—creating a platform capable of orchestrating, processing, and distributing massive workloads across globally distributed systems with exceptional speed, resilience, and scale.
Their technology sits beneath mission-critical platforms where performance isn’t a nice-to-have—it’s the product. Every day, their infrastructure processes billions of events, coordinates thousands of distributed workloads, and enables customers to build applications that simply wouldn’t be possible using traditional architectures.
This is a company built by engineers, for engineers. The culture is deeply technical, with a relentless focus on clean architecture, distributed systems, performance optimisation, and solving genuinely difficult problems. You’ll work alongside people who love debating system design, experimenting with new technologies, and squeezing every last drop of performance from complex software.
As they continue to scale rapidly, they’re investing heavily in building a world-class engineering team to create infrastructure that will power the next generation of cloud-native applications. If you enjoy designing systems that operate at serious scale and solving problems that few engineers ever get the opportunity to tackle, you’ll feel right at home here.
The Role
They’re looking for a talented Python Software Engineer to help build the core platform powering their highly distributed compute infrastructure.
You’ll be working on the engine room of the business—designing and developing the distributed services responsible for workload scheduling, compute orchestration, resource allocation, and large-scale data processing across cloud-native environments.
This is far more than backend API development. You’ll tackle complex engineering challenges around distributed systems, fault tolerance, concurrency, observability, and large-scale infrastructure, helping to build software that remains reliable even as workloads grow exponentially.
Working closely with experienced platform engineers, infrastructure specialists, and product teams, you’ll contribute to the design of systems that process enormous volumes of data while maintaining exceptional performance, resilience, and efficiency.
The engineering team embraces modern software practices including clean architecture, automated testing, continuous deployment, and a strong culture of ownership. Engineers are trusted to make technical decisions, experiment with new ideas, and influence the long-term direction of the platform.
If you love solving distributed systems problems, thinking about scale, and building infrastructure that other engineers rely on every day, this is the kind of role you’ll genuinely enjoy.
Required Skills & Experience
- Experience building robust, scalable backend applications and services
- Strong understanding of software engineering principles and clean code practices
- Experience working with data-intensive applications or distributed systems
- A passion for performance, reliability, and building production-grade software
- Degree in Computer Science, Engineering, Mathematics, Physics, or another STEM discipline
- Excellent communication skills and a collaborative approach to problem solving
Nice to Have
- Experience with distributed compute frameworks or large-scale data platforms
- Exposure to Kubernetes, Docker, or container orchestration
- Knowledge of messaging technologies such as Kafka, RabbitMQ, or NATS
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with infrastructure as code and CI/CD pipelines
- Experience with observability tooling such as Prometheus, Grafana, or OpenTelemetry
- Background in high-performance computing, distributed databases, or platform engineering
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