Senior Cloud Engineer

2 days ago

Hyderabad, Telangana, India Soothsayer Analytics Full time

Job Title: Senior Cloud Engineer

Location: Hyderabad

Experience: 8–10 years

Job Type: Full-time

About Us

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.

Please submit skills matrix in tabular format having the following columns:

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:

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

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