Job Description :

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 - Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).