This fast-growing UK technology company specializes in Enterprise Delivery, Cloud Engineering, AI-powered applications, and scalable infrastructure solutions.

The organization partners with global enterprises to deliver:

- Enterprise Cloud Solutions

- AI-driven Applications

- Modern Web Platforms

- Infrastructure Automation

- DevOps Engineering

- Cloud-native Systems

The engineering teams design, build, operate, and manage:

- Public Cloud Infrastructure

- AI/LLM-integrated Applications

- Self-hosted Open-source Platforms

- Internal Automation Systems

- Scalable Production Environments

Founded in 2016, the company is now entering an exciting growth phase, offering graduates and early-career engineers exposure to modern cloud engineering, DevOps automation, infrastructure security, Kubernetes, AI tooling, and enterprise-scale systems.

---

Role Overview

The company is hiring a Junior Cloud & AI Engineer for its Bedford, UK hybrid engineering team.

This is an excellent opportunity for:

- Graduates

- Junior Engineers

- Early-career DevOps Engineers

- Cloud Engineers

- Infrastructure Engineers

- AI Infrastructure Engineers

Candidates will gain hands-on exposure to:

- Cloud Platforms

- Linux Infrastructure

- Kubernetes & Containers

- CI/CD Pipelines

- Infrastructure Automation

- AI/LLM Integrations

- Networking & Security

- Self-hosted Platforms

- Production Operations

This is not a support-only role. Engineers will work directly on real production systems, modern cloud infrastructure, AI-integrated tooling, and business-critical platforms.

---

Key Responsibilities

Cloud Infrastructure Engineering

- Operate and improve workloads on public cloud platforms

- Manage compute, networking, object storage, IAM, and managed databases

- Support scalable and resilient cloud systems

Linux & Infrastructure Operations

- Manage Linux servers and containerized workloads

- Configure reverse proxies, VPNs, and TLS certificates

- Troubleshoot infrastructure and networking issues

CI/CD & DevOps Automation

- Build and maintain CI/CD deployment pipelines

- Use Git-based workflows for infrastructure and application delivery

- Automate operational workflows and deployment tasks

Containerization & Orchestration

- Work with Kubernetes and container-management platforms

- Support orchestration and environment automation

- Deploy and manage scalable application environments

Identity & Security

- Manage secrets and identity providers

- Configure SSO integrations and authentication systems

- Support secure infrastructure practices

AI & LLM Integration

- Work with AI APIs and self-hosted AI platforms

- Support AI-assisted productivity systems

- Contribute to AI-integrated business applications and automation tools

Documentation & Operational Excellence

- Maintain source-controlled infrastructure documentation

- Create operational runbooks and recovery procedures

- Participate in disaster recovery planning and testing

---

Required Skills

- Linux Administration

- Cloud Infrastructure

- Networking Fundamentals

- CI/CD Pipelines

- Git & Version Control

- Python

- JavaScript / TypeScript

- Go Programming

- Containerization

- Infrastructure Troubleshooting

- Automation

- DNS & HTTP

- TCP/IP

- TLS & Security Basics

---

Preferred Skills

- Kubernetes

- Docker

- Terraform

- Cloud Platforms (AWS, Azure, GCP)

- Reverse Proxies

- SQL & Databases

- Open-source Platforms

- AI APIs

- LLM Integrations

- Workflow Automation

- Infrastructure as Code (IaC)

---

AI & LLM Concepts Mentioned

Candidates interested in:

- Tokenization

- Transformer Attention

- Embeddings

- Retrieval-Augmented Generation (RAG)

- AI Automation

- LLM Infrastructure

- AI Productivity Tools

will gain valuable real-world exposure.

---

Required Qualifications

- Graduate or early-career engineer

- STEM or Computer Science background preferred

- Self-taught engineers with strong portfolios can apply

- Strong curiosity and willingness to learn

- Ability to solve technical problems independently

- Understanding of Linux, networking, and programming fundamentals

---

Recently Asked DevOps & Cloud Interview Questions With Answers

1. What is Kubernetes?

Answer: Kubernetes is a container orchestration platform used to deploy, manage, and scale applications automatically.

2. What is CI/CD?

Answer: CI/CD automates application integration, testing, deployment, and release workflows.

3. What is Infrastructure as Code (IaC)?

Answer: IaC automates infrastructure provisioning using tools like Terraform or CloudFormation.

4. What is DNS?

Answer: DNS translates domain names into IP addresses so systems can communicate over networks.

5. What is TLS?

Answer: TLS secures communication between systems using encryption and authentication.

6. What is Docker?

Answer: Docker packages applications and dependencies into portable containers.

7. What is Retrieval-Augmented Generation (RAG)?

Answer: RAG combines AI language models with external data retrieval for more accurate responses.

---

Recommended Certifications

- AWS Certified Cloud Practitioner

- Microsoft Azure Fundamentals

- Google Associate Cloud Engineer

- Certified Kubernetes Administrator (CKA)

- Docker Certified Associate

- Linux Foundation Certified SysAdmin

- Terraform Associate

---

Career Opportunities

Candidates can grow into:

- DevOps Engineer

- Cloud Engineer

- Platform Engineer

- Site Reliability Engineer (SRE)

- AI Infrastructure Engineer

- Kubernetes Engineer

- Cloud Security Engineer

- Infrastructure Automation Engineer

- AI Platform Engineer

- Cloud Architect

---

Junior Cloud Engineer Jobs UK, AI Engineer Graduate Jobs, DevOps Engineer Careers UK, Kubernetes Engineer Jobs, AWS Graduate Engineer, Cloud Infrastructure Jobs, Linux DevOps Engineer, AI Infrastructure Engineer, CI/CD Engineer Careers, Terraform Engineer Jobs, Cloud Automation Engineer, Site Reliability Engineer UK, LLM Engineer Careers, Platform Engineer Jobs UK, Graduate DevOps Engineer

---

Top Hiring Countries For Cloud & AI Engineers

- United Kingdom

- United States

- Canada

- Germany

- Netherlands

- Ireland

- Singapore

- Australia

- India

---

Why Join This Company?

- Real production engineering exposure

- Work on cloud infrastructure and AI systems

- Hands-on mentorship from experienced engineering leaders

- Opportunity to own production services early

- Exposure to modern AI APIs and LLM tooling

- Hybrid working environment

- Strong career growth opportunities

---

Job Details

Role

Junior Cloud & AI Engineer