Graduate DevOps Engineer

Graduate DevOps Engineer

Edinburgh Entry level 24000 - 36000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Graduate DevOps Engineer to operationalise AI solutions and manage ML workflows.
  • Company: We're an innovative AI company based in Edinburgh, pushing the boundaries of technology.
  • Benefits: Enjoy a competitive salary of up to £30,000 and hands-on experience in cloud technologies.
  • Why this job: This role offers real-world experience in a cutting-edge field with a collaborative culture.
  • Qualifications: Recent graduates in Computer Science, Engineering, or Data Science with Linux and networking knowledge.
  • Other info: Ideal for those eager to learn about AWS, DevOps, and machine learning operations.

The predicted salary is between 24000 - 36000 £ per year.

****Graduate role paying up to £30,000 in Edinburgh**** Graduate within Computer Science/ Engineering/ Data Science KNOWLEDGE OF – Linux, Networking practices, Security, firewalls, IAM, Shell Scripting Any of the following desirable – AWS, DevOps, IaC, CI/CD, An AI company in Edinburgh are looking for a recent graduate within IT to play a key role in operationalising AI solutions to support real-time and batch-based use cases. This role will be similar to that of a DevOps/ SysAdmin role within the Machine Learning domain. You will gain hands-on experience in deploying, monitoring, and optimising ML workflows in the cloud, primarily using AWS services. Requirements: Strong familiarity with Linux operating systems, including shell scripting and basic command-line Understanding of networking best practices, including concepts like VPCs, subnetting, load balancing, and firewalls. Basic knowledge of security and access management principles, such as managing IAM roles, permissions, and security groups in cloud environments. Nice to have (NOT essential at all): Knowledge of AWS services (EC2, S3, Lambda, IAM) and an understanding of DevOps principles. Basic understanding of python and object oriented programming Exposure to CI/CD tools (GitLab CI/CD) Familiarity with containerisation (Docker) and container orchestration (Kub…

Graduate DevOps Engineer employer: TIGER RESOURCING SOLUTIONS LIMITED

Join a forward-thinking AI company in Edinburgh, where you will not only kickstart your career as a Graduate DevOps Engineer but also thrive in a collaborative and innovative work culture. With a competitive salary of up to £30,000, we offer extensive growth opportunities, hands-on experience with cutting-edge technologies, and a supportive environment that encourages continuous learning and development. Embrace the unique advantage of working in a vibrant city known for its tech scene, while contributing to impactful AI solutions that shape the future.
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Contact Detail:

TIGER RESOURCING SOLUTIONS LIMITED Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate DevOps Engineer

Tip Number 1

Familiarize yourself with the specific tools and technologies mentioned in the job description. Spend some time practicing Linux commands, shell scripting, and networking concepts to ensure you can speak confidently about them during your interview.

Tip Number 2

Gain hands-on experience with AWS services, especially EC2, S3, and IAM. You can create a free AWS account and work on small projects to demonstrate your understanding of cloud environments and security practices.

Tip Number 3

Explore online resources or courses related to DevOps principles and CI/CD tools like GitLab. This will not only enhance your knowledge but also show your commitment to learning and growing in this field.

Tip Number 4

Network with professionals in the AI and DevOps community. Attend meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals for the role.

We think you need these skills to ace Graduate DevOps Engineer

Linux Operating Systems
Shell Scripting
Networking Practices
Security Principles
Identity and Access Management (IAM)
Basic Command-Line Proficiency
Understanding of VPCs and Subnetting
Load Balancing Concepts
Firewalls Knowledge
AWS Services (EC2, S3, Lambda, IAM)
DevOps Principles
CI/CD Tools (GitLab CI/CD)
Containerization (Docker)
Container Orchestration (Kubernetes)
Basic Python Programming
Object-Oriented Programming

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to Linux, networking practices, and any knowledge of AWS or DevOps. Use keywords from the job description to catch the employer's attention.

Craft a Strong Cover Letter: Write a cover letter that explains why you are passionate about the role and how your background in Computer Science or Engineering makes you a great fit. Mention any projects or experiences that demonstrate your familiarity with the required technologies.

Showcase Relevant Projects: If you have worked on any projects involving machine learning, cloud services, or DevOps practices, be sure to include them in your application. Describe your role and the technologies you used to give the employer insight into your practical experience.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.

How to prepare for a job interview at TIGER RESOURCING SOLUTIONS LIMITED

Show Your Technical Knowledge

Make sure to brush up on your knowledge of Linux, networking practices, and security principles. Be prepared to discuss how you've used shell scripting in your projects or studies, as this will demonstrate your hands-on experience.

Familiarize Yourself with AWS Services

Even if you don't have extensive experience with AWS, having a basic understanding of services like EC2, S3, and IAM can set you apart. Consider discussing any relevant coursework or personal projects that involved cloud computing.

Understand DevOps Principles

Since the role is related to DevOps, it’s beneficial to understand key concepts such as CI/CD and Infrastructure as Code (IaC). Be ready to explain how these principles can be applied in operationalizing AI solutions.

Prepare for Behavioral Questions

In addition to technical skills, companies often assess cultural fit. Prepare examples from your academic or project experiences that showcase your problem-solving abilities, teamwork, and adaptability in fast-paced environments.

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