Digital Technology Advisor - Application Operations Engineering

Overview

Digital Technology Advisor - Application Operations Engineering role as a Cloud DevOps Systems Engineer supporting Baker Hughes' High-Performance Computing (HPC) portfolio, acting as a technical advisor on cloud HPC architecture and operations.

What you'll do

• Design and architect high-performance computing clusters and platforms on public cloud providers (e.g., AWS, Azure, Google Cloud), including selecting compute resources (CPUs, GPUs, FPGAs), storage systems, and high-speed networking solutions.
• Implement and deploy cloud HPC solutions using Infrastructure as Code (IaC) tools like Terraform or Ansible, including configuring virtual networks, setting up distributed file systems (like Lustre, GPFS, or Ceph), and deploying cluster management and job scheduling software (e.g., Slurm, PBS).
• Conduct performance analysis and benchmarking to identify and eliminate bottlenecks in the HPC stack, and tune application code for parallel processing using MPI and OpenMP.
• Work as a technical advisor to researchers, engineers, and data scientists, helping them migrate workloads to the cloud, adopt best practices, and troubleshoot application-specific issues.
• Develop and maintain automated solutions for provisioning, software deployment, monitoring, and scaling HPC resources.
• Implement robust backup, disaster recovery, and security protocols to ensure the integrity and availability of the systems.
• Stay current with emerging cloud and HPC technologies, influencing product roadmaps and developing strategic plans for cloud HPC adoption and growth.

What you'll need

• Bachelor's or master's degree in computer science, Engineering, or a related technical field with 10+ years' experience.
• Extensive experience with HPC system design and management, including hands-on experience with hardware (CPUs, GPUs, InfiniBand) and software (compilers, schedulers, parallel programming libraries).
• Deep understanding of parallel computing concepts and programming models (MPI, OpenMP, CUDA).
• Proficiency in performance analysis tools and techniques.
• Hands-on experience with at least one major public cloud platform (AWS, Azure, or Google Cloud).
• Knowledge of cloud services relevant to HPC, such as compute instances, high-performance storage, and networking.
• Proficiency with Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible).
• Strong Linux/Unix system administration skills.
• Proficiency in scripting and automation languages (e.g., Python, Bash).
• Experience with containerization and orchestration technologies like Docker and Kubernetes.
• Familiarity with distributed file systems (Lustre, GPFS, Ceph) and job schedulers (Slurm, PBS).

Details

• Location: Mumbai, Maharashtra, India (Hiranandani Business Park, Powai).
• Working flexible hours, flexing the times when you work in the day.