Senior Cloud Engineer
- Soothsayer Analytics
- 1 - 4 years
- Hyderabad
- 3 months ago
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Job Description
Working Hours : Full TimeLocations : Hyderabad
Experience : 810 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, 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Site Reliability EngineerEmployement Type: Full timeContact Details:
Company: Soothsayer AnalyticsLocation(s): Hyderabad+ View Contact
Keyskills: gcp elk devops microsoft azure engineering aws gitlab ci docker
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Soothsayer Analytics
Soothsayer Analytics engages with companies to solve challenging Data Science problems and actively works with state-of-the-art techniques. We help clients predict the future, optimize their business, and identify micro-patterns and hidden connections that traditional methods cannot.
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