Senior Cloud Engineer – AWS High Performance Computing (Clinical Pharmacology Domain)

7 - 12 years

15 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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On-site

Job Type

Full Time

Job Description

Experience- 7-12 years

Location- Pune / Noida / Hyderabad / Bengaluru / Chennai

JD-

Position Overview:

We are seeking a Senior Cloud Engineer with deep expertise in AWS-based High-Performance Computing (HPC) and proven experience supporting Clinical Pharmacology and Pharmacometrics workloads. The incumbent will lead the design, deployment, and optimization of large-scale, secure, and compliant HPC infrastructures on AWS, enabling high-performance modeling, simulation, and computational research for global R&D teams.

Key Responsibilities:

  • Architect, design, and lead implementation of HPC environments on AWS optimized for pharmacometric modeling, simulation, and data-intensive scientific workloads.
  • Define and implement HPC architecture standards, cost optimization strategies, and scaling patterns across compute, storage, and data pipelines.
  • Partner with Clinical Pharmacology, Pharmacometrics, and R&D IT stakeholders to translate scientific computing requirements into robust cloud solutions.
  • Automate and orchestrate complex workloads for tools such as Phoenix WinNonlin, Pirana, Monolix, NONMEM, and MATLAB using AWS-native and open-source technologies.
  • Lead development of Infrastructure-as-Code (IaC) frameworks using Terraform or AWS CloudFormation for reproducible and auditable infrastructure provisioning.
  • Drive CI/CD pipeline implementation for model execution and environment deployment.
  • Ensure adherence to 21 CFR Part 11, GxP, and organizational data security and compliance standards.
  • Provide technical mentorship to junior engineers and guide cross-functional teams in best practices for HPC workload management and cloud optimization.
  • Conduct performance benchmarking, cost analysis, and scalability assessments to continuously improve HPC infrastructure.

Required Technical Skills:

  • Cloud Platforms: Expert-level proficiency in AWS (EC2, Batch, ParallelCluster, FSx, S3, CloudFormation, Lambda).
  • High Performance Computing: HPC cluster architecture, scheduling (SLURM / AWS Batch), parallel and distributed computing, containerization (Docker, Singularity).
  • Infrastructure-as-Code (IaC): Terraform, AWS CloudFormation.
  • Scripting & Automation: Advanced skills in Python, Bash, and PowerShell.
  • DevOps & CI/CD: Jenkins, GitHub Actions, or similar tools for automating environment deployment.
  • OS & Networking: Linux (RHEL/Ubuntu), IAM, VPC design, network security, VPN, and hybrid connectivity (Direct Connect).
  • Monitoring & Optimization: AWS CloudWatch, CloudTrail, Cost Explorer, and cost governance best practices.
  • Data Storage: Experience with S3 lifecycle management, FSx for Lustre, EFS, and data caching strategies for HPC workloads.
  • Experience integrating and supporting modeling and simulation tools — Phoenix WinNonlin, Pirana, Monolix, NONMEM, MATLAB.
  • Understanding of clinical data standards (CDISC, SDTM, ADaM) and workflows in Clinical Pharmacology / Pharmacometrics.
  • Familiarity with data visualization and analytics tools (Spotfire, R Shiny, Tableau).
  • Experience with workflow management systems (Nextflow, Airflow, Snakemake).
  • Exposure to container orchestration (Kubernetes / AWS EKS).
  • Prior experience in a regulated life sciences IT or pharmaceutical R&D computing environment.

Domain Experience (Mandatory):

  • In-depth understanding of Clinical Pharmacology and Pharmacometrics workflows, including PK/PD modeling, parameter estimation, and simulation processes.
  • Experience collaborating with scientists and modelers to support computational R&D workloads in a regulated environment.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Computational Sciences, or a related field.
  • Additional certifications in Clinical Pharmacology, AWS Certifications: AWS Certified Solutions Architect – Professional or AWS Certified Advanced Networking – Specialty.

Job Types: Full-time, Permanent

Pay: From ₹1,500,000.00 per year

Application Question(s):

  • How many years of experience do you have in AWS-based High-Performance Computing (HPC)?
  • How many years of experience do you have in Clinical Pharmacology Domain?
  • How many years of experience do you have in AWS (EC2, Batch, ParallelCluster, FSx, S3, CloudFormation, Lambda)?
  • How many years of experience do you have in modeling and simulation tools — Phoenix WinNonlin, Pirana, Monolix, NONMEM, MATLAB?
  • Have you applied or attended the interview in Birlasoft in last 6 months?
  • What is your current CTC?
  • What is your expected CTC?
  • What is your notice period/ LWD?
  • What is you current and preferred location?
  • Are you ok with third-party payroll?
  • How many years of total experience do you currently have?

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