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?