Cloud Engineer
2 months ago
We are seeking a highly skilled Cloud Engineer to join our Data and Analytics Technology team. As a Cloud Engineer, you will be responsible for designing, building, and maintaining cloud-based infrastructure and applications.
Key Responsibilities- Design and implement cloud-based infrastructure solutions using GCP services such as Google Cloud Storage, BigQuery, and Vertex AI Notebooks.
- Develop and maintain Release Control Management pipelines using Terraform, Cloud Build, and GitHub Actions.
- Implement CI/CD processes for deploying infrastructure and analytics workloads using Terraform, Docker, Cloud Build, and GitHub Actions.
- Setup and manage secret management using Hashicorp Vault and Secret Manager.
- Lead clients in user acceptance testing for component and base image upgrades.
- Troubleshoot and resolve performance issues to ensure optimal system performance.
- Interact with product vendors and technical support to fine-tune and troubleshoot software components.
- Assist tenants with troubleshooting their issues related to GCP and its services.
- Mentor junior engineers in best practices for building, deploying, testing, and supporting services.
- 5+ years of experience in managing a public cloud platform for an enterprise on GCP, Azure, or AWS.
- 10+ years of IT experience in managing and developing applications or platforms ensuring scalability, reliability, and security.
- 3+ years of experience in using Infrastructure as Code tooling like Terraform to manage large-scale infrastructure platforms.
- 2+ years of experience in public cloud-managed services for Data and Analytics for data warehousing, data lakes, ETL services, machine learning, or data governance and security.
- 5+ years of experience in DevOps, building CI/CD pipelines using GitHub, Artifactory, etc.
- 5+ years of experience in languages like Python, Go, or Java and scripting skills in shell scripting, Python, Perl, Ansible.
- Experience with Docker/Container, including setting up and managing Docker registries and creating Dockerfiles.
- Experience in setting up Kubernetes or similar platforms on-premise/cloud.
- Certification in GCP (GCP Cloud Associate) is desirable.
- Authentic, decisive, resilient, highly collaborative, curious, and results-oriented.
- Superior writing, research, presentation, and project management skills.
- Strong problem solver who supports the team to navigate challenges and/or asks for help from above when needed.
- Superior writing, communication, interpersonal, and project management skills.
- Team player with effective communication skills (verbal and written).
- Able to see tasks through to completion without significant guidance.
- Self-managed and results-oriented with a sense of ownership.
- A university degree in Mathematics, Science, Engineering, Management, or relevant.
- 2 Rounds of interviews:
- 1st round with the Technical team – Video call Ms Teams 1 hour – Talk about work experience and get to know (no technical assessments or business case required)
- 2nd round – Hiring manager and Director – Video call Ms Teams 30 mins – Talk about experience and behavioral questions.
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