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Role Title : Lead - Cloud Engineering

Experience Level : 10+ Years

Domain Focus : Healthcare AI &

- Cloud Infrastructure

Job Overview :

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

Key Responsibilities :

Cloud Architecture &

- Migration :
- Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
- Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep.
- Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security &

- Healthcare Compliance :
- Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices.
- Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership &

- Team Management :
- Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.




- Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
- Collaborate closely with Data Engineering, AI/ML, and Software Product teams.

Operations &

- FinOps :
- Establish cloud cost optimization strategies (FinOps) to manage computing costs.
- Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Tech Stack :

- Cloud Platforms : AWS (EC2, S3, EKS, Bedrock, SageMaker) and Azure (AKS, Azure OpenAI, Blob, Virtual Machines).
- DevOps &
- IaC : Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).

Key Requirements :

- Experience : 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
- Domain Knowledge : Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
- AI/ML Familiarity : Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
- Certifications (Preferred) : AWS Certified Solutions Architect - Skilled, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

📌 MANGO SCIENCES - Lead Cloud Engineer - Healthcare AI (India)
🏢 Mango Sciences
📍 India