Senior Cloud Engineer

2 weeks ago

Hyderabad, Telangana, India Soothsayer Analytics Full time
Job Description

Working Hours : Full Time

Locations : Hyderabad

Experience : 810 years

apply now

apply now

About The Role

Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning & GenAI solutionsspanning predictive analytics, optimization, NLP, and AI-driven platformsthat help leading enterprises forecast, automate, and gain a competitive edge.

Behind these innovations lies robust, secure, and scalable cloud infrastructure. As part of our Cloud Engineering team, youll help design and operate next-gen cloud systems that power cutting-edge AI solutions.

Job Overview

We seek a Senior Cloud Engineer to design, build, and optimize scalable, secure, and cost-efficient cloud environments. Youll collaborate with AI/ML teams to deliver production-grade systems, automate deployments, and ensure resilience of data pipelines, APIs, and AI services across AWS, Azure, and GCP. This is a hands-on role where cloud architecture meets engineering excellence.

Key Responsibilities

Cloud Architecture & Infrastructure

- Design and implement cloud-native solutions on AWS, Azure, or GCP.
- Build secure, highly available, and cost-optimized cloud infrastructure.
- Implement networking, IAM, security, and compliance best practices.

Automation & DevOps

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

Containerization & Orchestration

- Manage Kubernetes clusters and containerized workloads (Docker, EKS/AKS/GKE).
- Optimize workloads for scalability, performance, and cost efficiency.

Collaboration & Support

- Partner with Data & AI teams to ensure cloud infra supports ML/LLM workloads (e.g., GPU provisioning, vector DB hosting).
- Troubleshoot complex production issues and optimize cloud operations.
- Mentor junior engineers on cloud best practices.

Required Skills & Qualifications

Education:Bachelors/Masters in Computer Science, Cloud Computing, or related fields.

Experience:610 years in cloud engineering/DevOps with expertise in:

- Cloud Platforms: AWS, Azure, or GCP (multi-cloud experience preferred).
- Infrastructure as Code: Terraform, CloudFormation, Pulumi.
- Containers & Orchestration: Docker, Kubernetes, Helm
- CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
- Networking & Security: VPCs, IAM, firewalls, VPN, secrets management.
- Observability: Prometheus, Grafana, ELK, or cloud-native monitoring tools.
- AI/ML Enablement (preferred): GPU provisioning, supporting MLOps pipelines.

Skills Matrix

Candidates must submit a detailed resume and fill out the following matrix:

Skill

Details

Skills Last Used

Experience (months)

Self-Rating (010)

AWS / Azure / GCP

Terraform / IaC

Docker / Kubernetes

CI/CD (Jenkins, GitHub Actions, etc.)

Networking & Security

Monitoring & Logging

GPU / AI Workload Support

Gen AI Deployments

Instructions For Candidates

- Provide a detailed resume highlighting cloud projects (infrastructure automation, containerization, multi-cloud deployments, AI/ML workload support).
- Fill out the above skills matrix with accurate dates, duration, and self-ratings.

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