Senior Cloud Engineer/ Architect

Quantiphi; Boston (MA); Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Impactful work

Upskilling

Research environment

Fortune 500 exposure

Job summary

Quantiphi is seeking a highly skilled Senior Cloud Engineer/Architect to design, optimize, and scale GenAI infrastructure. This role emphasizes GPU profiling, distributed training, and multi-GPU environments for production-grade deployments.

You will collaborate with data science, MLOps, and application teams to build GenAI pipelines and ship scalable platform foundations using Terraform, Helm, and container orchestration tools.

Qualifications

• Strong knowledge of Cloud technology (GCP or Azure).
• Linux systems expertise, performance tuning and multi-GPU optimization.
• Containerization and orchestration with Docker, Kubernetes or OpenShift.
• Networking concepts including VPCs, firewalls, and load balancing.
• Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems).
• Familiarity with vector databases and retrieval systems for RAG architectures.

Responsibilities

• Design scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
• Perform GPU profiling, benchmarking, and optimization for distributed training workloads.
• Manage compute jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
• Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
• Collaborate with data science, MLOps, and application teams to deploy models.
• Build GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
• Develop infrastructure templates using Terraform and Helm.
• Contribute to PoCs and client-facing delivery engagements.

Skills

Cloud architecture

GPU profiling

Kubernetes

OpenShift

LLM deployment

Distributed training

Slurm

Terraform

NVIDIA GPUs

Tools

Docker

Kubernetes

OpenShift

Helm

Terraform

Job description

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

Experience Level: 8+ years

Employment type: Full Time

Location: Remote (Canada)

Job Profile:

We are looking for a highly skilled Senior Cloud Engineer/ Architect to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on experience in GPU profiling, distributed training, and high-performance compute environments.

You’ll play a key role in building out GenAI platform foundations, supporting production-grade deployments, and partnering closely with data science, MLOps, and application teams to bring cutting-edge AI solutions to life.

Key Responsibilities:

• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
• Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads.
• Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
• Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
• Collaborate with cross-functional teams to deploy models in research and production environments.
• Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
• Develop reusable infrastructure templates using tools like Terraform and Helm.
• Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagement.

Basic Qualifications:

• Strong knowledge of Cloud technology (GCP or Azure).
• Strong foundation in Linux systems, performance tuning, and multi-GPU optimization.
• Knowledge of containerization and container orchestration technologies such as Docker, Kubernetes, or OpenShift.
• Strong understanding of networking concepts, including virtual private clouds, firewalls, and load balancing.
• Good knowledge of container orchestration tools (Docker, Docker Compose, Kubernetes).
• Familiarity deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems).

Preferred Qualifications:

• Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers.
• Knowledge of LLMOps frameworks and MLOps integration.
• Familiarity with vector databases and retrieval systems for RAG architectures.
• Comfortable working in client-facing environments and collaborating with AI solution teams.

What is in it for you:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.