Senior Cloud Infrastructure Engineer

2 weeks ago

Hyderabad, Telangana, India Egen (Formerly SpringML) Full time ₹ 8,00,000 - ₹ 24,00,000 per year

We are seeking a highly skilled and experienced Senior Cloud Infrastructure Engineer -GCP to join our dynamic team. The ideal candidate will be passionate about building and maintaining complex systems, with a holistic approach to architecture. You will play a key role in designing, implementing, and managing cloud infrastructure, ensuring scalability, availability, security, and optimal performance. You will also provide mentorship to other engineers, and engage with clients to understand their needs and deliver effective solutions.

  • Responsibilities:

  • Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily on Google Cloud Platform (GCP).

  • Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale deployments.
  • Utilize Kubernetes deployment tools such as Helm or Kustomize for container orchestration and management.
  • Design and implement CI/CD pipelines using platforms like GitHub, GitLab, Bitbucket, Cloud Build, Harness, etc., with a focus on rolling deployments, canaries, and blue/green deployments.
  • Troubleshoot and resolve complex infrastructure issues.

  • Provide technical mentorship, and training to engineering staff.

  • Qualifications:

  • 5-10 years of experience in Infrastructure Engineering or similar role.

  • Extensive experience with Google Cloud Platform (GCP)
  • Knowledge of Infrastructure as Code (IaC) with Terraform.
  • Experience with Kubernetes and related tools.
  • Understanding of CI/CD pipelines and deployment strategies.
  • Problem-solving and analytical skills.
  • Strong communication and interpersonal skills, with the ability to engage with both technical and non-technical stakeholders.

Certifications:

  • Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud Architect, etc.).
  • Software development experience (e.g., Terraform, Python).
  • Experience/Exposure with machine learning infrastructure.

Education:

  • Bachelor's degree in Computer Science, a related field, or equivalent experience.

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