Platform Engineer, AI/ML Infrastructure

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August 18

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SECURENTITY

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Cybersecurity • Enterprise • SaaS

SECURENTITY is a company specializing in Identity and Access Management (IAM) solutions. They provide a comprehensive suite of services designed to secure access to digital environments, empowering organizations to manage identities, enforce access control, and modernize their infrastructure effectively. With a commitment to simplifying IAM challenges, SECURENTITY offers managed services, cloud IAM solutions, and expert guidance to enhance security and streamline user management.

11 - 50 employees

🔒 Cybersecurity

🏢 Enterprise

☁️ SaaS

📋 Description

• Architect and maintain our core computing platform using Kubernetes on AWS and on-premise, providing a stable, scalable environment for all applications and services. • Develop and manage our entire infrastructure using Infrastructure-as-Code (IaC) principles with Terraform, ensuring our environments are reproducible, versioned, and automated. • Design, build, and optimize our AI/ML job scheduling and orchestration systems, integrating Slurm with our Kubernetes clusters to efficiently manage GPU resources. • Provision, manage, and maintain our on-premise bare metal server infrastructure for high-performance GPU computing. • Implement and manage the platform's networking (CNI, service mesh) and storage (CSI, S3) solutions to support high-throughput, low-latency workloads across hybrid environments. • Develop a comprehensive observability stack (monitoring, logging, tracing) to ensure platform health, and create automation for operational tasks, incident response, and performance tuning. • Collaborate with AI researchers and ML engineers to understand their infrastructure needs and build the tools and workflows that accelerate their development cycle. • Automate the life cycle of single-tenant, managed deployments • Are passionate about building platforms that empower developers and researchers. • Enjoy creating elegant, automated solutions for complex infrastructure challenges in both cloud and data center environments. • Thrive on optimizing hybrid infrastructure for performance, cost, and reliability. • Are excited to work at the intersection of modern platform engineering and cutting-edge AI. • Love to treat infrastructure as a product, continuously improving the developer experience. • 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). • Proven, hands-on experience building and managing production infrastructure with Terraform. • Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment. • Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads. • Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management. • Strong scripting and automation skills (e.g., Python, Go, Bash). • Experience with CI/CD systems (e.g., GitLab CI, Jenkins, ArgoCD) and building developer tooling. • Familiarity with FinOps principles and cloud cost optimization strategies. • Knowledge of Kubernetes networking (e.g., Calico, Cilium) and storage (e.g., Ceph, Rook) solutions. • Experience in a multi-region or hybrid cloud environment.

🎯 Requirements

• 5+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). • Proven, hands-on experience building and managing production infrastructure with Terraform. • Expert-level knowledge of Kubernetes architecture and operations in a large-scale environment. • Experience with high-performance compute (HPC) job schedulers, specifically Slurm, for managing GPU-intensive AI workloads. • Experience managing bare metal infrastructure, including server provisioning (e.g., PXE boot, MAAS), configuration, and lifecycle management. • Strong scripting and automation skills (e.g., Python, Go, Bash).

🏖️ Benefits

• Offers Equity • Offers Bonus • 10% Annual Bonus