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
1. 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.
2. 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.
3. Containerization & Orchestration
Manage Kubernetes clusters and containerized workloads (Docker, EKS/AKS/GKE).
Optimize workloads for scalability, performance, and cost efficiency.
4. 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.
o Cloud Platforms: AWS, Azure, or GCP (multi-cloud experience preferred).
o Infrastructure as Code: Terraform, CloudFormation, Pulumi.
o Containers & Orchestration: Docker, Kubernetes, Helm.
o CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
o Networking & Security: VPCs, IAM, firewalls, VPN, secrets management.
o Observability: Prometheus, Grafana, ELK, or cloud-native monitoring tools.
o AI/ML Enablement (preferred): GPU provisioning, supporting MLOps pipelines.

Keyskills: Cloud Engineering Azure VPCs secrets management ELK CloudFormation firewalls Prometheus Pulumi Grafana MLOps pipelines Jenkins DevOps GitHub Actions Terraform Docker IAM GCP VPN GitLab CI Helm AWS Azure DevOps Kubernetes
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.