AWS Cloud Engineer (Healthcare / RWD / NVIDIA Acceleration)

Employment Type: Full time

About the Role

We are seeking an experienced and forward-thinking AWS Cloud Engineer to help drive our transformation from a cloud-agnostic architecture to an AWS-optimized environment. In this pivotal role, you will design and maintain secure, scalable, and high-performance infrastructure that powers our Healthcare and Real-World Data

(RWD) platforms — including systems that leverage NVIDIA GPU acceleration for advanced analytics, AI, and machine learning workloads.

The ideal candidate combines hands-on AWS expertise with a strong interest in high- performance computing, automation, and compliant cloud architecture for healthcare data solutions.

Key Responsibilities

- Design, deploy, and optimize AWS infrastructure supporting data-intensive healthcare and RWD applications.

- Lead the migration from a cloud-agnostic setup to an AWS-first architecture emphasizing scalability, performance, and cost efficiency.

- Integrate and manage NVIDIA GPU-enabled compute resources (e.g., EC2 P- or G-series instances, AWS Trainium/Inferentia) for AI, ML, and data-science workloads.

- Implement and manage Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.

- Build and optimize CI/CD pipelines for automated application and infrastructure deployment.

- Collaborate with data science, engineering, and security teams to ensure HIPAA compliant, secure, and performant solutions.





- Monitor, tune, and cost-optimize workloads across compute, storage, and GPU resources.

- Implement and maintain disaster recovery, backup, and business continuity strategies.

- Stay up to date with emerging AWS, NVIDIA, and AI/ML infrastructure technologies to continuously evolve our platform capabilities.

Required Qualifications

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).

- 3+ years of hands-on experience designing, deploying, and maintaining solutions on AWS.

- Strong understanding of AWS core services (EC2, S3, RDS, Lambda, ECS/EKS, CloudFront, IAM, VPC).

- Experience managing GPU-accelerated compute environments (NVIDIA CUDA, GPU instances, HPC).

- Proficiency with Terraform, CloudFormation, or similar automation tools.

- Scripting experience (Python, Bash, or PowerShell) for automation and tooling.

- Familiarity with AI/ML pipelines, container orchestration (Docker, Kubernetes, ECS, or EKS), and CI/CD tools (CodePipeline, Jenkins, GitHub Actions).

- Knowledge of security, encryption, and compliance frameworks relevant to healthcare (HIPAA, HITRUST, SOC 2).

- AWS Certification (e.g., Solutions Architect, DevOps Engineer, or Machine Learning Specialty) strongly preferred.

- Experience in healthcare, life sciences, or real-world data environments is highly desirable.

📌 AWS Cloud Engineer (Bengaluru)
🏢 Trigent Software
📍 Bengaluru