NexCell Solutions
AI & DevOps Engineer Internship
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DevOps Engineer – FastAPI & Cloud Infrastructure Internship
Remote | Duration: 6 Months | Start Date: ASAP | Commitment: (around) 20 hours per week (flexible) | Eligibility: Students enrolled in a credit-bearing university placement or recent graduates
Application Deadline: Friday 4th September 2026 Unpaid (credit-bearing, contributing towards your degree or a graduate scheme)
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
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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
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Internship Details
- Duration: 6 months
- Hours: Approximately 20 hours per week (flexible around academic commitments)
- Location: Fully remote, but hybrid if preferred by the candidate
- 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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