Technology Platform Engineer
Bengaluru Full-time Mid-level Platform & Infrastructure
At a glance
Mid-level Platform & Infrastructure role at Accenture. Bengaluru · full-time.
Pay not stated Platform & Infrastructure salary
RolePlatform & Infrastructure
SeniorityMid-level
LocationBengaluru
EmploymentFull-time
PostedOct 8, 2026 · 2w ago
Role brief
devopsroles summary, based on the employer's posting.
What you'll do
- Shape HPC and AI system designs and rollout plans around industry-specific performance and scale needs
- Set up XPU clusters with schedulers and orchestration platforms to deliver compute services for AI and HPC workloads
- Improve cluster throughput, resilience, power use and cost across local, cloud and mixed deployments
- Connect platforms to IT systems, data flows and security controls, then investigate availability or network delays
- Document system designs and operating settings, and guide users running large models, HPC jobs and simulations
What you bring
- At least seven and a half years of experience, along with fifteen years of full-time education
- Strong Linux architecture or administration skills, CUDA and GPU expertise, and cluster design experience using Slurm or PBS Pro
- Practical background designing and operating HPC and AI systems across local, cloud and hybrid setups
- Experience developing enterprise HPC strategy and architecting full-stack supercomputing environments
Who this fits
This role suits an experienced infrastructure engineer focused on HPC, accelerated computing and AI workloads. It is based in Bengaluru, India.
From the employer
Project Role : Technology Platform Engineer
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : Linux Architecture
Good to have skills : Machine Learning (ML), Cloud Technology Architecture, Docker Kubernetes Administration, Edge Computing, Microsoft Agentic AI Architect
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities:
1) Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs
2) Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings
3) Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments
4) Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks
5) Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency
6) Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks
7) Provide Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations
Required Skills and Qualifications:
1) Experience in enterprise-wide HPC strategy and architecting next-gen supercomputing environments across the full stack.
2) Primary Skills: Linux Administrator/Architect, Advanced CUDA/GPU on H100/A100, HPC cluster design (SLURM/PBS Pro)
3) Secondary Skills: Parallel programming: MPI, OpenMP, CUDA, SYCL, NVIDIA DGX SuperPOD & BCM, InfiniBand NDR 400Gb/s & RoCEv2 design, MLOps & HPC integration (Kubeflow), Containerization: Singularity, Kubernetes, DevOps: Ansible, Terraform for HPC, UFM management, RunAI, Azure ML integration: distributed training, MLflow, Terraform / Bicep IaC for Azure HPC, FinOps: Reserved Instances, Spot VM strategies, Hybrid cloud HPC: on-prem to Azure/AWS burst
4) Proven hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
5) Deep knowledge of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
6) Proficiency with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
7) Hands-on experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible.
Preferred Skills and Qualifications:
1) Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled
2) Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm).
3) Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures)
4) Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments
5) Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation
6) Experience with AgenticAI and associated technologies to leverage and build agents for workflow automation and observability
7) Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus
8) Strong problem-solving, troubleshooting, communication, and collaboration skills to deliver reliable, scalable, and high-performance infrastructure solutions in fast-paced, dynamic environments that reward technical talent
15 years full time education
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : Linux Architecture
Good to have skills : Machine Learning (ML), Cloud Technology Architecture, Docker Kubernetes Administration, Edge Computing, Microsoft Agentic AI Architect
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Key Responsibilities:
1) Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs
2) Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings
3) Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments
4) Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks
5) Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency
6) Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks
7) Provide Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations
Required Skills and Qualifications:
1) Experience in enterprise-wide HPC strategy and architecting next-gen supercomputing environments across the full stack.
2) Primary Skills: Linux Administrator/Architect, Advanced CUDA/GPU on H100/A100, HPC cluster design (SLURM/PBS Pro)
3) Secondary Skills: Parallel programming: MPI, OpenMP, CUDA, SYCL, NVIDIA DGX SuperPOD & BCM, InfiniBand NDR 400Gb/s & RoCEv2 design, MLOps & HPC integration (Kubeflow), Containerization: Singularity, Kubernetes, DevOps: Ansible, Terraform for HPC, UFM management, RunAI, Azure ML integration: distributed training, MLflow, Terraform / Bicep IaC for Azure HPC, FinOps: Reserved Instances, Spot VM strategies, Hybrid cloud HPC: on-prem to Azure/AWS burst
4) Proven hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail
5) Deep knowledge of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions
6) Proficiency with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks
7) Hands-on experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible.
Preferred Skills and Qualifications:
1) Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled
2) Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm).
3) Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures)
4) Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments
5) Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation
6) Experience with AgenticAI and associated technologies to leverage and build agents for workflow automation and observability
7) Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus
8) Strong problem-solving, troubleshooting, communication, and collaboration skills to deliver reliable, scalable, and high-performance infrastructure solutions in fast-paced, dynamic environments that reward technical talent
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Platform & Infrastructure work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Platform & Infrastructure
Find me workBy the team behind devopsroles.