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# Software Engineer, Enterprise

- **Company:** Scale
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Systems, Amazon DynamoDB, Python (Programming Language), PostgreSQL, NoSQL, Systems Integration, TypeScript, Data Processing, Flask (Web Framework), Multi-Cloud, Generative AI, Backend, Fastapi, Kubernetes, Infrastructure Automation Frameworks, Virtual Agents, NestJS, Terraform, Data Pipelines, Docker
- **Published:** September 10, 2026
- **Apply:** https://www.collegerecruiter.com/job/2847390775-software-engineer-enterprise

## About the Role

* 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
 * Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
 * Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
 * Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
 * Hands-on experience with GenAI applications, model integration, or AI agent systems-understanding how to deploy, evaluate, and scale AI workloads in production.
 * Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
 * Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

## Description

* Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale's and customers' infrastructure.
 * Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
 * Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
 * Optimize backend performance for latency, throughput, and cost-ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
 * Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
 * Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
 * Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.


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