Cloud Architect

Cloud Architect

London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and manage scalable GCP environments using IaC and collaborate with teams on AI solutions.
  • Company: Join a cutting-edge tech company focused on innovative cloud solutions and security.
  • Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
  • Why this job: Be at the forefront of cloud technology and AI integration while making a real impact.
  • Qualifications: 12+ years experience required; must have a degree in Computer Science or related field.
  • Other info: GCP certification and experience with Wiz Security Control are highly desirable.

The predicted salary is between 54000 - 84000 £ per year.

Job Description

AWS Cloud Architect

contract role

Hybrid 3 days

Location: 4 John Carpenter St, London EC4Y, United Kingdom

Duration : 6 Months + Extension

Qualifications:

Education & Experience:

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's degree preferred).

10+ years of experience in cloud architecture, with at least 3+ years of hands-on experience with AWS technologies.

Proven experience with AWS environments, including setting up, managing, and optimizing cloud resources.

Skills & Expertise:

In-depth knowledge of AWS core services (EC2, S3, RDS, IAM, VPC, Lambda, CloudFormation, etc.).

Strong understanding of cloud security principles, identity management, and data protection.

Expertise in designing and deploying integration solutions using AWS services (API Gateway, Lambda, SQS, EventBridge, etc.).

Experience with Infrastructure-as-Code (IaC) tools like Terraform or AWS CloudFormation.

Familiarity with containerization (Docker, Kubernetes) and orchestration on AWS (ECS, EKS).

Experience with monitoring, logging, and alerting tools like CloudWatch, ELK stack, or third-party tools.

Certifications (Preferred):

AWS Certified Solutions Architect – Professional.

AWS Certified DevOps Engineer – Professional.

Other relevant cloud or architecture certifications (TOGAF, etc.) are a plus.

Cloud Architect employer: Hellowork Consultants

As a leading employer in the tech industry, we offer Cloud Architects an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and access to cutting-edge technologies, particularly in GCP and AI integration. Located in a vibrant tech hub, our culture emphasizes teamwork, diversity, and a strong focus on security best practices, making it an ideal place for professionals seeking meaningful and rewarding careers.
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Contact Detail:

Hellowork Consultants Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Architect

✨Tip Number 1

Familiarize yourself with the latest GCP services and features. Staying updated on new developments in GCP can give you an edge during discussions and interviews, showcasing your commitment to continuous learning.

✨Tip Number 2

Engage with the GCP community through forums, webinars, and meetups. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for job openings.

✨Tip Number 3

Prepare to discuss real-world scenarios where you've implemented Infrastructure as Code (IaC) using Terraform. Being able to share specific examples will demonstrate your hands-on experience and problem-solving skills.

✨Tip Number 4

Highlight your collaboration skills by preparing examples of how you've worked with cross-functional teams. Emphasizing your ability to communicate effectively with data scientists and security teams can set you apart from other candidates.

We think you need these skills to ace Cloud Architect

GCP
Infrastructure as Code (IaC)
Terraform
BigQuery
Vertex AI
Wiz Security Control
Cloud Storage
Compute Engine
VPC
IAM
Python
Bash
Automation Tools
Security Best Practices
Compliance Standards
Collaboration Skills
Communication Skills
Scalability
Reliability
Data Processing
Machine Learning Pipelines

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your 12+ years of experience in the field, particularly focusing on your expertise with GCP, Infrastructure as Code (IaC) using Terraform, and any relevant projects you've worked on.

Showcase Certifications: Clearly mention your GCP Professional Cloud Architect certification or any similar certifications. This will demonstrate your qualifications and commitment to the role.

Detail Your Technical Skills: Provide specific examples of your hands-on experience with Vertex AI, BigQuery, and Wiz Security Control. Mention any automation tools and scripting languages you are proficient in, such as Python or Bash.

Emphasize Collaboration Abilities: Since the role requires collaboration with cross-functional teams, highlight your communication skills and any previous experiences where you successfully worked in a team-oriented environment.

How to prepare for a job interview at Hellowork Consultants

✨Showcase Your GCP Expertise

Make sure to highlight your experience with Google Cloud Platform during the interview. Be prepared to discuss specific projects where you've utilized GCP services like Compute Engine, Cloud Storage, and VPC, as well as how you implemented Infrastructure as Code using Terraform.

✨Demonstrate Your Security Knowledge

Since Wiz Security Control is a key requirement, be ready to explain how you've integrated security monitoring in GCP environments. Discuss any security assessments or audits you've conducted and how you ensure compliance with best practices.

✨Discuss Collaboration Experiences

Collaboration is crucial for this role. Share examples of how you've worked with cross-functional teams, especially data scientists and AI specialists, to deliver scalable infrastructure solutions. Highlight your communication skills and teamwork experiences.

✨Prepare for Technical Questions

Expect technical questions related to Vertex AI and BigQuery. Be ready to explain how you've designed and optimized data storage solutions and integrated machine learning pipelines. Familiarize yourself with common challenges and solutions in these areas.

Cloud Architect
Hellowork Consultants
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