Baker Hughes

Digital Technology Advisor - Application Operations Engineering

Posted Yesterday

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Powai, Mumbai Suburban, Maharashtra, IND

In-Office

Expert/Leader

Energy

The Role

Designs, implements, and optimizes high-performance computing platforms on public clouds. Responsibilities include cloud HPC architecture, Infrastructure as Code deployment, distributed storage and job scheduling, performance tuning, automation, monitoring, security, disaster recovery, and workload migration support. The role advises researchers, engineers, and data scientists while shaping cloud HPC strategy and technology roadmaps.

Summary Generated by Built In

Digital Technology Advisor - Application Operations Engineering

Do you enjoy working with cutting-edge technology?

Would you like to help shape the future of our global energy?

Join our team!

Our Industrial & Energy Technology (IET) team provides industry-leading products and services that optimize the extraction, production and processing of energy. We help a diverse range of customers across the value chain to reduce operating costs and improve productivity. Our team is responsible for the assembly of high-quality and innovative products.

Partner with the best

HPC Cloud Architects’ primary responsibilities are to establish the approach for integrating information applications, projects and programs and ensuring alignment with business strategies and drivers, and priorities relevant to Baker Hughes High-Performance Computing (HPC) portfolio.

As a Cloud DevOps Systems Engineer, you will be responsible for:

Architectural Design: Design and architect high-performance computing clusters and platforms on public cloud providers (e.g., AWS, Azure, Google Cloud). This includes selecting appropriate compute resources (CPUs, GPUs, FPGAs), storage systems, and high-speed networking solutions.
Solution Implementation: Implement and deploy cloud HPC solutions using Infrastructure as Code (IaC) tools like Terraform or Ansible. This involves 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).
Performance Optimization: Conduct performance analysis and benchmarking to identify and eliminate bottlenecks in the HPC stack. Tune application code for parallel processing using paradigms like MPI (Message Passing Interface) and OpenMP, and optimize hardware and software configurations to maximize performance.
Collaboration and Consultation: Work as a technical advisor to researchers, engineers, and data scientists, helping them migrate their workloads to the cloud, adopt best practices, and troubleshoot application-specific issues.
Automation and Management: 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.
Strategic Planning: Stay current with emerging cloud and HPC technologies, influencing product roadmaps and developing strategic plans for the organization's cloud HPC adoption and growth.

Fuel your passion

To be successful in this role, you will have

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).

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect.

Contemporary work-life balance policies and wellbeing activities
Comprehensive private medical care options
Safety net of life insurance and disability programs
Tailored financial programs
Additional elected or voluntary benefits

The Baker Hughes internal title for this role is: Digital Technology Advisor - Application Operations Engineering

Skills Required

Bachelor's or master's degree in computer science, engineering, or a related technical field
10+ years of experience
Extensive experience designing and managing HPC systems, including CPUs, GPUs, InfiniBand, compilers, schedulers, and parallel programming libraries
Deep understanding of MPI, OpenMP, and CUDA
Proficiency in performance analysis tools and techniques
Hands-on experience with AWS, Azure, or Google Cloud
Knowledge of cloud compute, high-performance storage, and networking services
Proficiency with Infrastructure as Code tools such as Terraform or Ansible
Strong Linux/Unix system administration skills
Proficiency in scripting and automation languages such as Python or Bash
Experience with Docker and Kubernetes
Familiarity with distributed file systems such as Lustre, GPFS, or Ceph
Familiarity with job schedulers such as Slurm or PBS

Baker Hughes Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Baker Hughes and has not been reviewed or approved by Baker Hughes.

Retirement Support — Feedback suggests retirement contributions combine automatic employer funding with a dollar‑for‑dollar match, with immediate vesting on the match. This structure can meaningfully increase savings for employees who participate consistently.
Equity Value & Accessibility — Feedback suggests a discounted employee stock purchase program with regular purchase periods and no brokerage fees provides accessible ownership upside. Program parameters are clearly laid out through the benefits hub and plan materials.
Leave & Time Off Breadth — Feedback suggests exempt staff have flexible, manager‑approved time off while non‑exempt employees accrue vacation and receive paid personal time. Company‑paid holidays and paid parental leave further broaden time‑away options.