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- Tasks: Design and maintain cutting-edge Kubernetes infrastructure for an AI-driven cybersecurity platform.
- Company: Join a well-funded startup at the forefront of AI and Cybersecurity.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Shape the future of security while working with innovative technologies.
- Qualifications: 5+ years in DevOps with expertise in Kubernetes, AWS, and coding in Python.
- Other info: Dynamic startup environment with a focus on collaboration and innovation.
The predicted salary is between 72000 - 96000 ÂŁ per year.
Building Security teams to shape and protect the future.
Location - Remote
Salary - ÂŁ90,000 to ÂŁ120,000pa
Type - Permanent
Our client is seeking a highly skilled Infra/DevOps Engineer to serve as the architect and owner of their core infrastructure. This role is a unique opportunity to join an early‑stage, well‑funded startup building at the intersection of AI and Cybersecurity. The successful candidate will take full ownership of designing, coding, and maintaining a complex, multi‑account Kubernetes infrastructure that powers the AI‑driven cybersecurity platform. This includes managing segregated AWS accounts, each with dedicated Kubernetes clusters, to ensure complete data isolation for security‑conscious enterprise customers.
Key Responsibilities
- Architect Multi‑Cluster Infrastructure: Design and implement the infrastructure‑as‑code for the complex Kubernetes setup, ensuring isolation and operational efficiency across numerous AWS accounts.
- Scale Operations with Modern Tooling: Manage and optimize dozens of Kubernetes clusters using Karpenter for auto‑scaling, Flux for GitOps, and Kustomize for configuration management.
- Develop Production Automation: Write robust, maintainable code using Python and Terraform/CloudFormation for CI/CD pipelines, custom tooling, and automated deployment scripts.
- Ensure Enterprise Security: Implement and maintain high‑security standards, firewalls, encryption, and network segregation across the multi‑account AWS architecture.
- Enable Velocity: Build self‑service infrastructure capabilities for engineering teams, fostering independent resource provisioning and scaling.
Required Experience
- 5+ years of infrastructure/DevOps experience with deep, hands‑on expertise managing complex, multi‑cluster Kubernetes deployments.
- Proven production experience with Karpenter, Flux, and Kustomize.
- Expert knowledge of AWS and managing complex multi‑account architectures for security and scalability.
- Strong coding skills in Python for automation and tooling, alongside extensive use of Terraform or CloudFormation.
- A demonstrated ability to build simple, elegant solutions to complex distributed systems challenges.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
DevOps Engineer employer: Intaso
Contact Detail:
Intaso Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes and AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and challenges. Practice explaining your thought process and solutions clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DevOps Engineer role. Highlight your experience with Kubernetes, AWS, and any relevant tools like Karpenter and Flux. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and cybersecurity, and explain why you’re excited about this opportunity. Let us know how you can contribute to shaping the future of security.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Intaso
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes, AWS, and the tools mentioned in the job description like Karpenter, Flux, and Kustomize. Brush up on your coding skills in Python and Terraform, as you might be asked to solve technical problems or discuss your past projects in detail.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to multi-cluster deployments or security measures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you built elegant solutions to complex issues.
✨Understand the Company’s Mission
Research the startup's focus on AI and Cybersecurity. Be ready to explain how your skills can contribute to their mission of building secure infrastructures. This shows that you’re not just looking for any job, but are genuinely interested in what they do.
✨Ask Insightful Questions
Prepare thoughtful questions about their current infrastructure challenges, team dynamics, or future projects. This not only demonstrates your interest but also gives you a chance to assess if the company aligns with your career goals and values.
