Senior Backend Engineer

WeDoTech; Camden Town; Hybrid; GBP 125,000 - 145,000; Full time

Benefits offered by this job

Equity

Hybrid role in London

Job summary

WeDoTech is hiring for a senior backend role in London. You will design and build high performance Python services, create scalable distributed systems and APIs, and develop data pipelines for large enterprise datasets.

You will own architecture through production, work with founders and customers, and contribute to AI/LLM infrastructure. Hybrid work with strong ownership and rigorous performance focus.

Qualifications

• 6+ years of software engineering experience.
• Strong commercial Python experience.
• Experience designing and operating distributed systems.
• Experience with high throughput or data intensive applications.
• Strong understanding of performance engineering and scalability.
• Experience identifying and resolving real production bottlenecks.
• Strong API and systems integration experience.
• Experience with Docker and Kubernetes.
• Experience within cloud environments.
• Understanding of asynchronous processing and messaging architectures.
• Strong knowledge of observability, monitoring and SLOs.
• Experience owning systems from initial architecture through to production.
• Strong communication skills and confidence making and defending architectural decisions.
• Experience building backend or platform infrastructure around AI, LLMs, Generative AI or agentic applications would be highly advantageous.

Responsibilities

• Design and build high performance backend services primarily in Python.
• Build scalable distributed systems and APIs.
• Develop pipelines capable of processing large volumes of complex enterprise data.
• Integrate with external APIs and legacy enterprise systems.
• Design asynchronous and event driven architectures.
• Identify and solve performance bottlenecks across production systems.
• Think critically about throughput, latency, computational cost and scalability.
• Build resilient systems capable of handling failures and unreliable dependencies.
• Define and monitor SLOs around performance, reliability and availability.
• Work closely with engineers, founders and customers to turn complex problems into pragmatic technical solutions.
• Own what you build from architecture through to deployment and production.

Skills

Python

Distributed systems

APIs & integration

Docker & Kubernetes

Cloud environments

Observability & SLOs

System architecture

Tools

Docker

Kubernetes

Job description

Salary: £125,000 - 145,000 per year

Requirements

• 6+ years of software engineering experience
• Strong commercial Python experience
• Experience designing and operating distributed systems
• Experience with high throughput or data intensive applications
• Strong understanding of performance engineering and scalability
• Experience identifying and resolving real production bottlenecks
• Strong API and systems integration experience
• Experience with Docker and Kubernetes
• Experience within cloud environments
• Understanding of asynchronous processing and messaging architectures
• Strong knowledge of observability, monitoring and SLOs
• Experience owning systems from initial architecture through to production
• Strong communication skills and confidence making and defending architectural decisions
• Experience building backend or platform infrastructure around AI, LLMs, Generative AI or agentic applications would be highly advantageous.

Responsibilities

• Design and build high performance backend services primarily in Python
• Build scalable distributed systems and APIs
• Develop pipelines capable of processing large volumes of complex enterprise data
• Integrate with external APIs and legacy enterprise systems
• Design asynchronous and event driven architectures
• Identify and solve performance bottlenecks across production systems
• Think critically about throughput, latency, computational cost and scalability
• Build resilient systems capable of handling failures and unreliable dependencies
• Define and monitor SLOs around performance, reliability and availability
• Work closely with engineers, founders and customers to turn complex problems into pragmatic technical solutions
• Own what you build from architecture through to deployment and production

Technologies

• Agentic AI
• AI
• API
• Backend
• Cloud
• Docker
• Kubernetes
• Python

More

WeDo is partnering with a high growth AI startup building an agentic AI platform designed to solve complex, real world problems across global enterprise operations. The business is at an exciting stage of its journey, with foundations already in place, customers using the technology, and the engineering team scaling both the platform and the systems behind it. This is a hybrid role based in Central London, with 3 to 4 days per week onsite, offering up to £145,000 base plus equity. You will join a highly technical engineering team working across AI, distributed systems, enterprise data and performance engineering, with genuine ownership and close involvement in product, customers and technical decisions.

last updated 38 week of 2026