Cloud Engineer (Python, AWS)
Cloud Engineer (Python, AWS)

Cloud Engineer (Python, AWS)

City of London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Cloud Engineer, working with Go, AWS, and Kubernetes to build innovative solutions.
  • Company: We are a leading tech firm in London, pushing the boundaries of cloud technology.
  • Benefits: Enjoy flexible working hours, remote options, and a vibrant team culture.
  • Why this job: Be part of a dynamic team that values creativity and innovation in cloud engineering.
  • Qualifications: 7-12 years of experience in Go, AWS, and containerization technologies required.
  • Other info: Opportunity to work on cutting-edge projects and enhance your skills in a supportive environment.

The predicted salary is between 48000 - 72000 £ per year.

Primary Skill: Go, AWS, Git (GitHub, GitLab, BitBucket, SVN), Kubernetes, Docker

Experience: 7-12 years

Location: London, UK

  • Expertise in Go Lang programming concepts
  • Familiarity with Go routines and channels (Concurrency)
  • Proper handling and management of errors in Go
  • Hands-on experience with Packages & Modules plus Go Testing Packages
  • Understanding of Restful APIs, Microservices, and distributed systems
  • AWS Experience using EC2, Lambda, S3, EBS, RDS/DynamoDB, and IAM/KMS
  • Understanding GitLab CI/CD, Git Merging, Rebasing & Conflict Resolution
  • Experience in Containerization (Docker images) and understanding of Container lifecycle
  • Working knowledge of Kubernetes Networking, Storage, and Security
  • Deploying applications to Kubernetes cluster using CI/CD Pipeline

Cloud Engineer (Python, AWS) employer: HCLTech

As a leading technology firm based in London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Cloud Engineers benefit from extensive professional development opportunities, competitive salaries, and a comprehensive benefits package, all while working in a vibrant city known for its tech advancements. Join us to be part of a team that values your expertise and supports your growth in the ever-evolving cloud landscape.
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Contact Detail:

HCLTech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Engineer (Python, AWS)

✨Tip Number 1

Make sure to showcase your hands-on experience with Go and AWS during networking opportunities. Attend meetups or tech conferences where you can connect with professionals in the field, as personal connections can often lead to job referrals.

✨Tip Number 2

Join online communities or forums related to Cloud Engineering, especially those focused on Go and AWS. Engaging in discussions and sharing your knowledge can help you build a reputation and may catch the attention of recruiters looking for candidates.

✨Tip Number 3

Consider contributing to open-source projects that utilise Go and AWS. This not only enhances your skills but also demonstrates your commitment and expertise to potential employers, making you a more attractive candidate.

✨Tip Number 4

Prepare for technical interviews by practising common Cloud Engineer scenarios, particularly those involving Kubernetes and Docker. Familiarise yourself with real-world problems and solutions, as this will help you stand out during the interview process.

We think you need these skills to ace Cloud Engineer (Python, AWS)

Proficiency in Go programming language
Understanding of Go routines and channels for concurrency
Error handling and management in Go
Experience with Go packages and modules
Familiarity with Go testing packages
Knowledge of RESTful APIs and microservices architecture
Experience with AWS services including EC2, Lambda, S3, EBS, RDS/DynamoDB, IAM, and KMS
Proficient in Git and version control systems (GitHub, GitLab, BitBucket, SVN)
Understanding of GitLab CI/CD processes, merging, rebasing, and conflict resolution
Experience in containerization using Docker
Knowledge of Docker image lifecycle and management
Working knowledge of Kubernetes networking, storage, and security
Experience deploying applications to Kubernetes clusters using CI/CD pipelines

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Go, AWS, and containerization technologies like Docker and Kubernetes. Use specific examples to demonstrate your expertise in these areas.

Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about cloud engineering and how your skills align with the job requirements. Mention your familiarity with CI/CD processes and your experience in deploying applications to Kubernetes clusters.

Showcase Relevant Projects: If you have worked on projects involving microservices, RESTful APIs, or distributed systems, be sure to include these in your application. Highlight your role and the technologies used to give a clear picture of your capabilities.

Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Cloud Engineer role.

How to prepare for a job interview at HCLTech

✨Showcase Your Go Expertise

Make sure to highlight your experience with Go Lang during the interview. Be prepared to discuss specific projects where you've implemented Go routines, channels, and error handling, as this will demonstrate your depth of knowledge in the language.

✨Demonstrate AWS Proficiency

Since AWS is a primary requirement, be ready to talk about your hands-on experience with services like EC2, Lambda, and S3. Share examples of how you've used these services in past projects, particularly in relation to deploying applications and managing resources.

✨Discuss CI/CD Practices

Familiarity with GitLab CI/CD is crucial for this role. Prepare to explain your experience with Git merging, rebasing, and conflict resolution. Discuss how you've set up CI/CD pipelines in previous roles and the impact it had on deployment efficiency.

✨Containerisation Knowledge

As containerisation is key, be ready to discuss your experience with Docker and Kubernetes. Talk about how you've managed container lifecycles and deployed applications to Kubernetes clusters, including any challenges you faced and how you overcame them.

Cloud Engineer (Python, AWS)
HCLTech
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