At a Glance
- Tasks: Design and manage cloud architecture using Azure and AWS for innovative projects.
- Company: Join a high-performing consultancy known for impactful solutions and a collaborative culture.
- Benefits: Enjoy remote work, flexible hours, and opportunities for professional growth.
- Other info: Dynamic, agile environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the tech world while working with cutting-edge cloud technologies.
- Qualifications: 5+ years in network engineering, with strong cloud expertise and relevant certifications.
The predicted salary is between 60000 - 80000 € per year.
ebp Global is a high-performing boutique consultancy firm best known for delivering tailored, impactful solutions to our clients’ most complex problems, from conceptualisation to implementation. Our expertise covers a wide range of value chain activities from strategy, organisational design and operating models, through operations and business process optimisation, to information flows and analytics.
We are seeking a highly skilled and experienced Cloud Platform Engineer with expertise in Azure and AWS to join our dynamic IT team. The ideal candidate will be responsible for designing, implementing, and managing our cloud architecture and infrastructure, ensuring the highest levels of availability, performance, and security. Critical and conceptual thinking and problem-solving skills are essential alongside a passion for networking.
- Design and implement scalable and secure network architectures in both Azure and AWS environments.
- Plan and execute cloud migration strategies, including hybrid cloud solutions.
- Design infrastructure for AI/ML workloads including GPU/TPU compute clusters, high-throughput storage, and low-latency networking between nodes.
- Architect MLOps pipelines integrating model training, versioning, and deployment workflows on cloud platforms (e.g., Azure ML, AWS SageMaker).
- Deploy and manage virtual networks, subnets, route tables, and network gateways.
- Implement and manage VPN connections, Direct Connect (AWS), and ExpressRoute (Azure).
- Deploy and manage AI-specific services such as AWS SageMaker, Azure Machine Learning, and GPU-enabled VM fleets.
- Set up and manage vector databases.
- Configure and manage API Gateways (AWS API Gateway, Azure API Management) for routing, throttling, and versioning.
- Ensure cloud infrastructure adheres to industry standards and regulatory requirements.
- Implement data governance and access controls for sensitive training datasets and model artifacts.
- Ensure compliance with AI-specific regulations and responsible AI frameworks (e.g., EU AI Act considerations).
- Monitor network performance and implement tuning measures to optimize throughput and latency.
- Troubleshoot and resolve network-related issues promptly.
- Conduct capacity planning and scaling to accommodate growing workloads.
- Automate deployment, configuration, and management tasks using scripting languages such as Python, PowerShell, or Bash.
- Build and maintain CI/CD pipelines for model deployment using tools like MLflow, Kubeflow, or Azure DevOps.
- Automate model retraining triggers, A/B deployment rollouts, and blue/green model switches.
- Experience deploying Python-based REST APIs using frameworks such as FastAPI or Flask.
- Build CI/CD pipelines for automated testing, containerization, and deployment of Python APIs to cloud environments.
- Support LLM and generative AI deployments including API gateway configuration for models like Azure OpenAI or AWS Bedrock.
- Manage prompt caching layers, rate limiting, and cost monitoring for AI API consumption.
- Collaborate with data science and AI teams to translate model requirements into scalable cloud infrastructure.
- Provide technical guidance and support to junior network engineers and other team members.
- Design, deploy, and manage RESTful APIs built in Python (FastAPI, Flask, or Django REST Framework).
- Monitor API performance, uptime, and error rates using tools like CloudWatch, Azure Monitor, or Datadog.
- Manage API monetization or access tiers where applicable, using gateway-level policies.
Key Skills for a Cloud Platform Engineer:
- Minimum of 5 years of experience in network engineering, with at least 3 years focused on cloud environments.
- Proven experience designing and managing network infrastructure in both Azure and AWS.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- AWS Certified Solutions Architect – Professional or AWS Certified Advanced Networking – Specialty.
- AWS Certified Machine Learning – Specialty.
- Microsoft Certified: Azure AI Engineer Associate.
- Relevant network certifications (e.g., Cisco CCNA/CCNP).
- Proficiency with Python REST API development and deployment (FastAPI, Flask).
- Hands-on experience with AWS API Gateway or Azure API Management (APIM).
- Ability to learn and upgrade technical skills in the fast-paced data analysis field.
- Ability to work in a dynamic, agile environment within a geographically distributed team.
Remote, flexible working environment.
Please apply by sending your CV (in English) to info@ebp-global. Personal data collected will be used for recruitment purposes only.
Cloud Engineer - Platform and Engineering Service employer: ebp Global
At ebp Global, we pride ourselves on being a high-performing boutique consultancy that fosters a collaborative and innovative work culture. As a Cloud Engineer, you will benefit from a remote and flexible working environment, alongside opportunities for professional growth through hands-on projects with renowned clients. Our commitment to employee development and a supportive team atmosphere makes us an exceptional employer for those seeking meaningful and rewarding careers in cloud technology.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Engineer - Platform and Engineering Service
✨Tip Number 1
Network, network, network! Get out there and connect with people in the industry. Attend meetups, webinars, or even online forums. You never know who might have a lead on your dream Cloud Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud projects, especially those involving Azure and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each job. Research the company and mention specific projects or values that resonate with you in your conversations. It shows you're genuinely interested and not just sending out mass applications.
✨Tip Number 4
Use our website to apply! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Cloud Engineer - Platform and Engineering Service
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Cloud Platform Engineer role. Highlight your expertise in Azure and AWS, and don’t forget to mention any relevant certifications!
Showcase Your Projects:Include specific examples of cloud architecture projects you've worked on. We love seeing how you've tackled complex problems and implemented solutions, especially in AI/ML workloads.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for easy reading and make sure to highlight your key achievements in network engineering and cloud environments.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at ebp Global
✨Know Your Cloud Stuff
Make sure you brush up on your Azure and AWS knowledge. Be ready to discuss specific projects where you've designed or managed cloud architectures. Highlight your experience with AI/ML workloads and any relevant certifications, as these will show you're the right fit for the role.
✨Showcase Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about times when you had to optimise network performance or troubleshoot issues. This will demonstrate your critical thinking and problem-solving abilities, which are key for this position.
✨Get Familiar with the Company
Do a bit of homework on ebp Global. Understand their approach to consultancy and the types of clients they work with. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Practice Your Technical Skills
Since the role involves deploying and managing APIs, make sure you can talk through your experience with Python REST API development. You might even want to prepare a mini demo or example project to showcase your skills during the interview.
