Devops & SysOps Architect

📋 Job Overview

We are seeking an exceptional Senior Lead who combines deep hands-on SysOps/HPC expertise with the strategic vision of a solution architect. This is a rare dual-track role: you operate at the intersection of elite technical execution and client-facing presales, designing and running mission-critical GPU, HPC, and Kubernetes platforms while simultaneously co-creating opportunity with our commercial teams.

🏢 About Integrant

Integrant is a company that provides technical expertise and solutions in the fields of platform engineering, infrastructure, and high-performance computing. We are committed to delivering innovative solutions that meet the complex needs of our clients.

🎯 The Role

This role carries both SysOps, HPC depth and DevOps. You are expected to spend at least 60% of your time on implementation and technical execution.

✅ Key Responsibilities

• Partner with sales and solution teams to identify and qualify new opportunities
• Lead or support technical presales activities: discovery workshops, RFP responses, architecture presentations
• Build and deliver proof-of-concepts (POCs) that demonstrate platform capabilities to prospective clients
• Prepare high-quality technical materials
• Act as a trusted technical advisor during client conversations, proposing solutions aligned to business goals
• Operate directly within client accounts as a senior SysOps/DevOps engineer
• Run, troubleshoot, and optimize production-grade Kubernetes clusters and GPU/HPC environments hands-on
• Own Linux system administration at a deep level: kernel tuning, storage, networking, performance profiling
• Implement and maintain IaC pipelines, GitOps workflows, and CI/CD systems
• Serve as the senior escalation point for complex operational incidents within accounts
• Design end-to-end platform architectures spanning cloud, hybrid, and on-premises HPC environments
• Define workload isolation models, networking architectures, and storage strategies for multi-tenant platforms
• Recommend and validate technology choices aligned to client scale, budget, and team maturity
• Produce architecture decision records (ADRs), solution blueprints, and technical runbooks

📌 Required Qualifications

• 10+ years in platform/infrastructure engineering, with at least 2 years in architect-level role
• Proven hands-on experience operating Kubernetes at scale in production (multi-cluster, multi-tenant)
• Significant Linux systems administration experience — kernel, networking, storage at a low level
• HPC and/or GPU infrastructure experience — physical GPU servers, NCCL, InfiniBand, or high-speed fabrics
• Demonstrable presales or client-facing experience
• IaC experience: Terraform and/or Ansible in production environments
• Strong understanding of GitOps and CI/CD pipelines in enterprise settings

⭐ Desirable Experience

• Experience with NVIDIA GPU Operator, MIG partitioning, Run:AI, or equivalent GPU scheduling tooling
• Knowledge of distributed AI training infrastructure (PyTorch DDP, Horovod, DeepSpeed) from an infrastructure perspective
• Familiarity with NVIDIA Triton Inference Server or TensorRT deployment pipelines
• Experience with Weka, Ceph, or GPUDirect Storage in HPC/AI environments
• Hands-on experience with Vault, External Secrets, and zero-trust network architectures
• Exposure to bare-metal provisioning and HPC cluster management (Slurm, PBS, or equivalent)

🎁 Benefits

• Competitive compensation package
• PTO, full medical and dental coverage, etc.
• Opportunity to travel and work onsite with U.S. customers
• In-house Technical and English training programs
• Dedicated learning time (check out our 4Plus1 Program)
• Interest-free loans
• Flexible work schedules
• Perks: events, sponsored lunch, game area, rooftop hangout + more!

🛂 Visa & Eligibility

No specific visa or eligibility information provided.