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Lead - Cloud Engineering (AWS / Azure)
Lead - Cloud Engineering (AWS / Azure)
Mango Sciences's logo

Lead - Cloud Engineering (AWS / Azure)

Human Resource's profile picture
Posted by Human Resource
10 - 15 yrs
₹30L - ₹35L / yr
Remote only
Skills
skill iconAmazon Web Services (AWS)
Microsoft Windows Azure
Generative AI
Implementation
System deployment
Data migration
EC2, S3, EKS, AWS Bedrock, Amazon SageMaker, Cloud
Azure Virtual Machines, Azure Blob Storage, Azure
Containers & Orchestration: Kubernetes, Docker, Op
Infrastructure as Code (IaC): Terraform, AWS Cloud
CI/CD Tools: GitHub Actions, GitLab CI/CD, Jenkins
Observability & Telemetry: Prometheus, Grafana, Da
Security, Identity & Compliance: Identity Access M
AI/ML & Data Infrastructure: GPU Compute Managemen

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).


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Mango Sciences

Founded :
2019
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Mango Sciences is a leading emerging market data science company connecting millions of underrepresented patients to precision medicine. The company’s Querent™ platform utilizes industry-leading AI analytics to transform deep clinical data into key insights that drive global health improvements. Mango Sciences is currently partnering with hospitals to understand the health data of individuals in India and other emerging markets to drive advancement in patient care and drug discovery for all populations.

 

Website- https://mangosciences.com/

Industry- Health Technology

Headquarters - Boston, Massachusetts

Read more

Tech stack

Generative AI
Agentic AI
Large Language Models (LLM)
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
RWE
skill iconPython
SQL
SQL quries
Tableau
Health care IT
EMR/EHR
Google Cloud Platform (GCP)
Microsoft Windows Azure
skill iconAmazon Web Services (AWS)
DevOps
ETL
UI/UX
Data engineering

Company social profiles

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