Senior Cloud Engineer

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 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, 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