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Senior software engineer

Nottingham (Nottinghamshire)
Immersum
Software engineer
Posted: 23 May
Offer description

Senior Software Engineer

Tech stack: Python, Cloud Infrastructure, APIs, Kubernetes, AI/ML, CI/CD

Remote - Occasional Client Visits


We’re hiring a Senior Engineer to help build and scale production grade AI infrastructure for enterprise clients.

This is a hands-on engineering role focused on building reliable backend systems, cloud platforms, and deployment infrastructure that takes AI solutions from prototype through to secure, scalable production environments.


The Role:

* Design and build backend systems, APIs, and cloud infrastructure

* Deliver production-ready AI systems with monitoring, scaling, and reliability built in

* Work with AI infrastructure, deployment pipelines, and operational tooling

* Contribute to architecture decisions and platform engineering

* Collaborate with Forward Deployed Engineers and Digital Intelligence Engineers

* Improve observability, testing, security, and production operations

* Mentor mid-level engineers and contribute to engineering standards


What We’re Looking For:

* 5+ years building production backend systems and APIs

* Strong hands-on engineering skills with Python or similar backend technologies

* Experience operating production systems in cloud environments

* Hands-on with containerisation, CI/CD, and infrastructure-as-code

* Strong understanding of databases and system design

* Experience implementing security controls in production environments

* Interest in AI systems and enterprise AI deployment

* Ability to work independently and contribute to technical direction


Nice to Have:

* Experience in regulated industries such as pharma, insurance, or financial services

* Experience with AI infrastructure, model serving, or ML pipelines

* Kubernetes and container orchestration at scale

* Experience with observability and distributed systems


Why Join:

* Work on real enterprise AI deployments

* High ownership across infrastructure and platform engineering

* Collaborative, engineering-led environment

* Opportunity to influence architecture and technical standards

* Build systems that move AI from proof-of-concept into production

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