Experience
1 - 4 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Cloud Engineer
Job Type
ONSITE
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 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
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
No Referrers Available
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