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Lead - Cloud Engineering (AWS / Azure)
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- ₹2,96,507.38 - ₹15,80,689.23 a year
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Lead - Cloud Engineering (AWS / Azure)
Mango Sciencies —Remote
We are seeking an experienced *Lead - Cloud Engineering* with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams.
₹2,96,507.38 - ₹15,80,689.23 a year
Quick apply
2h
Senior Security Architect & Engineer
7N —Remote
By engaging early with 7N, you benefit from our experience and expertise when defining the project scope and strategic needs, and you gain flexibility to…

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Lead - Cloud Engineering (AWS / Azure)

Mango Sciencies
Remote

Quick apply

Job details

Full-time
₹2,96,507.38 - ₹15,80,689.23 a year
2 hours ago

Qualifications

CI/CD
Cloud infrastructure
Azure
Cloud architecture
Law
Kubernetes
DevOps
Encryption
Git
Master's degree
AWS
Docker
Machine learning
Terraform
Continuous integration
GitHub
Agile
IT
S3
AI
Leadership
Jenkins
GitLab
AWS Certified Solutions Architect – Professional
Identity & access management

Full job description

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

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.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

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 to ensure scalable, automated infrastructure provisioning.
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 across all cloud assets.
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 to align infrastructure with business roadmaps.

Operations & FinOps

Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
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).

Pay: ₹296,507.38 - ₹1,580,689.23 per year

Work Location: Remote

Quick apply

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