Senior Cloud Engineer

Overview

About the job:

Key Responsibilities:

A. Cloud architecture & infrastructure:
1. Design and implement cloud-native solutions on AWS, Azure, or GCP.
2. Build secure, highly available, and cost-optimized cloud infrastructure.
3. Implement networking, IAM, security, and compliance best practices.

B. Automation & DevOps:
1. Develop Infrastructure as Code (IaC) using Terraform/CloudFormation.
2. Implement CI/CD pipelines to automate deployments for AI/ML and data platforms.
3. Enable monitoring, logging, and alerting using cloud-native or third-party tools.

C. Containerization & orchestration:
1. Manage Kubernetes clusters and containerized workloads (Docker, EKS/AKS/GKE).
2. Optimize workloads for scalability, performance, and cost efficiency.

D. Collaboration & support:
1. Partner with data & AI teams to ensure cloud infra supports ML/LLM workloads (e.g., GPU provisioning, vector DB hosting).
2. Troubleshoot complex production issues and optimize cloud operations.
3. Mentor junior engineers on cloud best practices.

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience
2. are from Hyderabad only
3. are Computer Science Engineering students

Salary:

₹ 4,00,000 - 5,00,000 /year

Experience:

1 year(s)

Deadline:

2025-10-19 23:59:59

Skills required:

Docker, GitHub, Microsoft Azure, VPN, Amazon Web Services (AWS), DevOps, Jenkins, Kubernetes, Google Cloud Platforms (GCP), Terraform, Gitlab, Machine Learning Operations (MLOps), Grafana, VPC, Prometheus, IAM, AWS CloudFormation and Firewall Configuration

Other Requirements:

1. Education: Bachelor’s/Master’s in computer science, cloud computing, or related fields.

2. Experience: 0–1 years in cloud engineering/DevOps with expertise in:

3. Cloud platforms: AWS, Azure, or GCP (multi-cloud experience preferred).

4. Infrastructure as Code: Terraform, CloudFormation, Pulumi.

5. Containers & Orchestration: Docker, Kubernetes, Helm.

6. CI/CD tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.

7. Networking & Security: VPCs, IAM, firewalls, VPN, secrets management.

8. Observability: Prometheus, Grafana, ELK, or cloud-native monitoring tools.

9. AI/ML enablement (preferred): GPU provisioning, supporting MLOps pipelines.

About Company:

Soothsayer Analytics is a company that provides AI solutions for various industries. They have worked on projects such as vehicle scheduling and route optimization, vision-based quality inspection for a leading appliance manufacturer, and cognitive automation of resume assessment.