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Senior Cloud Engineer

ConfidentialHyderabad / Secunderabad, Telangana, India

9 days ago

Job description

Working Hours : Full Time

Locations : Hyderabad

Experience : 8–10 years

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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 solutions—spanning predictive analytics, optimization, NLP, and AI-driven platforms—that 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, you'll 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. You'll 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 : Bachelor's / Master's in Computer Science, Cloud Computing, or related fields.

Experience : 6–10 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 (0–10)

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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Skills Required

Elk, Cloudformation, Prometheus, Grafana, Pulumi, Firewalls, Jenkins, Gcp, Vpn, Terraform, Docker, Iam, Azure, Helm, Kubernetes, Azure Devops, Aws

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Senior Cloud Engineer • Hyderabad / Secunderabad, Telangana, India