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Ai & devops engineer internship

Exeter
Internship
NexCell Solutions
Engineer
Posted: 8 January
Offer description

DevOps Engineer – FastAPI & Cloud Infrastructure Internship


Remote | Duration: 6 Months | Start Date: 26 January 2026 | Commitment: ~20 hours per week | Eligibility: Students enrolled in a credit-bearing placement

Application Deadline: Sunday 11 January 2026

Unpaid (credit - bearing, contributing towards your degree)


About the Opportunity


NexCell Solutions is offering a 6-month DevOps internship for students who want hands-on experience supporting the infrastructure behind a high-scale AI platform that manages thousands of real-world WhatsApp conversations daily.


This role is designed for students who want exposure to real production systems rather than simulated coursework. You will contribute to the deployment, stability, and performance of a FastAPI-based backend used by live clients, working in a professional, fully remote engineering environment.


The internship focuses on learning through contribution, understanding how modern cloud infrastructure is designed and operated, and gaining practical experience with DevOps practices used in real AI and SaaS platforms.


What You Will Do


Collaborate with NexCell’s engineering team to deploy and maintain FastAPI-based backend services

Support the setup and management of cloud infrastructure using Docker and Kubernetes

Assist in building and maintaining CI/CD pipelines for testing and deployment

Help configure and manage databases such as PostgreSQL, Redis, and Qdrant

Contribute to monitoring, logging, and alerting for production and staging environments

Support infrastructure security through proper handling of secrets and environment variables

Assist with performance optimisation, reliability improvements, and cost awareness

Participate in regular check-ins and receive guidance and feedback from senior engineers


Who This Is For


* Students currently enrolled in a Bachelor’s or Master’s degree that allows a credit-bearing internship
* Individuals interested in DevOps, cloud infrastructure, backend systems, or platform engineering
* Students who are organised, reliable, and comfortable working remotely
* Those able to balance academic commitments with a structured part-time internship
* Students who can communicate clearly in written English and follow technical guidance


Preferred Background


* Currently studying Computer Science, Software Engineering, Information Systems, or a related field
* Familiarity with one or more of the following is beneficial, but not required:


* Python and backend development concepts
* FastAPI or other Python web frameworks
* Docker and containerisation basics
* Linux fundamentals
* Cloud platforms such as AWS or Google Cloud
* Git, GitHub, and CI/CD concepts
* Databases such as PostgreSQL or Redis
* Willingness to learn, document work, and follow structured engineering practices


Internship Details


Duration: 6 months

Hours: Approximately 20 hours per week (flexible around academic commitments)

Location: Fully remote

Compensation: Unpaid, credit-bearing internship

Academic requirement: Must contribute toward a recognised university placement or internship module


What You Gain


Hands-on experience working on real production infrastructure

Exposure to DevOps and cloud-native engineering practices

Experience supporting an AI-powered SaaS platform

Structured mentorship and technical feedback

Insight into how high-availability systems are operated

Certificate of completion and professional reference upon successful completion


About NexCell Solutions


NexCell Solutions Ltd (London, UK) is a CRM and AI consultancy working with organisations to design and build intelligent digital systems. We specialise in CRM architecture, automation, and AI-enabled workflows used in real business environments.


This internship is suitable for students who want meaningful exposure to real DevOps and infrastructure work and are motivated to learn by contributing to live systems alongside an experienced engineering team.

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