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# Backend Engineering and Architecture Lead

- **Company:** eonnext
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Software Quality, Continuous Integration, DevOps, Distributed Systems, Django Web Framework, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Redis, Software Engineering, Cloud Platform System, Flask (Web Framework), Technical Debt, Backend, Fastapi, Event Driven Architecture, Pytest, Kubernetes, Sentry, Graphql, Cloudwatch, Restful APIs, Terraform, New Relic (SaaS), Data Pipelines, Docker, Microservices
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3a6c54f961afd528

## About the Role

* You have significant software engineering experience, including a strong track record of leading engineering leaders and scaling high-performing teams of 30 or more engineers.
 * You have deep, hands-on expertise in backend engineering, distributed systems, microservices and cloud infrastructure, ideally with Python, FastAPI and AWS.
 * You're experienced in setting technical strategy, developing multi-year roadmaps and making architectural decisions that balance innovation, scalability and long-term platform health.
 * You're a confident and influential leader who can move seamlessly between executive-level discussions and detailed technical problem-solving with engineering teams. You understand modern software engineering practices, including DevOps, platform engineering and CI/CD, and have the commercial awareness to manage budgets and align technical investment with business priorities.
*

It would be great if you had

 * Experience working with technologies such as Django, Flask, PostgreSQL, DynamoDB, Redis, Docker, Kubernetes and Terraform.
 * Experience with event-driven architecture, REST and GraphQL APIs, messaging services and cloud-native infrastructure.
 * A background in observability, automated testing and incident management, using tools such as PyTest, CloudWatch, New Relic or Sentry.
 * Experience introducing AI and machine learning capabilities into backend services, alongside a passion for exploring emerging technologies. A track record of leading organisational change, building diverse talent pipelines and creating an inclusive engineering culture where people feel empowered to learn and do their best work.
*

## Description

* Lead, coach and develop our Engineering Managers and Staff Engineers, building a high-performing engineering community with a strong focus on career development, inclusion and collaboration.
 * Set the technical vision and long-term roadmap for backend engineering, shaping the architecture of our services, APIs, data pipelines and cloud infrastructure.
 * Stay hands-on with engineering, working alongside teams on complex technical challenges, production incidents, troubleshooting and proof of concepts.
 * Drive engineering excellence by championing technical standards, code quality, DevOps practices and continuous improvement across our backend services.
 * Partner with Product and Technology leaders to balance delivery priorities, technical debt, platform reliability and capacity, ensuring we build solutions that work for the long term. Influence at executive level, shaping technology strategy, managing engineering budgets and driving innovation through emerging technologies, including AI and machine learning.
*