• Develop integrations, such as Slackbots and internal assistants, to improve Infrastructure and Security workflows. • Build and maintain infrastructure that enables safe internal experimentation with POCs, helper apps, AI integrations, and automations. • Improve monitoring and detection of employee and AI-agent activity, including risks such as shadow IT, unsafe integrations, excessive permissions, and data exposure. • Protect company resources in a risk-based way according to their criticality, sensitivity, and regulatory relevance. • Use AI tools, mainly Claude, to rapidly develop code, infrastructure as code, automations, security tooling, and documentation. • Translate cybersecurity requirements, including NIS2 and medical device security expectations, into practical engineering work. • Perform security reviews, simpler penetration tests, threat modelling, and risk assessments for internal applications, integrations, and infrastructure changes. • Work independently and proactively while staying aligned with company priorities and risk appetite.

Role Description This is a professional and highly technical position responsible for maintaining, upgrading, and managing server infrastructure, software, hardware, and networks. The Infrastructure Engineer is responsible for: - Maintaining, upgrading, and managing core server infrastructure, software, hardware, and networks. - Diagnosing and resolving problems quickly. - Communicating with a variety of interdisciplinary teams and users. - Ensuring that technology infrastructure runs smoothly and efficiently. - Collaborating with firewall, security, and network systems. Work is performed under the limited supervision of the Enterprise Infrastructure Manager. Examples of Duties Essential duties and responsibilities include, but are not limited to: - Install new/rebuild existing servers and configure hardware, peripherals, services, settings, directories, storage, etc. in accordance with industry standards and project/operational requirements. - Oversee the administration, configuration, security, and lifecycle management of the organization’s Microsoft 365 environment to ensure reliability, compliance, and optimized user productivity. - Perform daily system monitoring, verifying the integrity and availability of all hardware, server resources, systems, and key processes, reviewing system and application logs. - Monitor daily backup operations, ensuring all required file systems and system data are successfully backed up to the appropriate location and are recoverable. - Repair and recover from hardware or software failures. - Perform Networking and Server Troubleshooting. - Apply OS patches and upgrades on a regular basis and upgrade administrative tools and utilities. - Configure/add new services as necessary. - Configure CPU, memory, and disk partitions as required. - Coordinate and communicate with impacted constituencies to develop, maintain, and test DR plans to ensure compliance with the Department’s DR plan. - Research and recommend innovative, and where possible, automated approaches for system administration tasks. - Develop and maintain installation and configuration procedures. - Contribute to and maintain system standards. - On-Call rotation with other Infrastructure team members which includes after hours, weekends, and holidays. - Perform other duties as required or requested. Qualifications - Bachelor’s degree in Information Technology, Computer Science or a related field and three years of related experience; OR - Associate degree in Information Technology, Computer Science or a related field and five years of related experience; OR - High School Diploma with seven years of related experience. Requirements - Knowledge of industry standards, methods, best practices, and procedures related to server, user, mail, disaster recovery, security, and storage administration. - Knowledge of project management techniques, planning, and resource deployment. - Knowledge and experience managing cybersecurity initiatives by implementing best-practice security controls. - Ability to work closely with and provide guidance to other infrastructure staff. - Ability to fully manage Microsoft Office 365, Teams and Azure. - Ability to manage servers within a hyperconverged architecture. - Ability to manage services and protocols on servers like DHCP, DNS, Active Directory, FTP, SSL, etc. - Ability to perform technical research and development to enable continuing innovation within the infrastructure. - Ability to provide advice and recommendations involving rather complex issues. - Ability to analyze and resolve problems using logical thought processes. - Ability to work well under pressure and independently. - Ability to multi-task and work in a dynamic and fast-paced environment. - Ability to establish and maintain good intra departmental and interdepartmental working relationships. - Excellent oral, written, and interpersonal communication and analysis skills. Company Description

Role Description We are seeking an Infrastructure Storage Engineer with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Key Responsibilities - Design and operate enterprise storage platforms across NetApp ONTAP, Pure Storage FlashArray/FlashBlade, and Ceph. - Implement and manage SAN, NAS, and object storage across data center and cloud environments. - Build storage solutions for VMware, Kubernetes (CSI drivers), and database workloads. - Design and operate replication, snapshot, and backup strategies for critical data assets. - Implement and operate cloud-tiered storage with FabricPool, CloudVolumes, or equivalent. - Build storage automation using Ansible, Terraform, REST APIs, and platform-native automation. - Operate Ceph clusters including OSD lifecycle, CRUSH maps, RGW, RBD, and CephFS. - Design and operate storage performance management for high-throughput and latency-sensitive workloads. - Implement data protection strategies including ransomware protection and immutable snapshots. - Build storage observability across capacity, performance, and health dimensions. - Lead storage upgrades, firmware lifecycle management, and security patching across the storage estate. - Drive storage cost optimization including deduplication, compression, and tiering strategies. - Troubleshoot complex storage issues spanning array, network, and host layers. - Stay current with storage industry developments and emerging platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of enterprise storage engineering experience. - Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. - Hands-on experience with Ceph at production scale. - Strong understanding of SAN, NAS, and object storage protocols. - Experience with storage integration for VMware and Kubernetes (CSI). - Strong scripting and automation skills using Ansible, Terraform, or REST APIs. - Strong understanding of storage performance, capacity planning, and cost optimization. - Strong troubleshooting skills across storage, network, and host layers. - Excellent communication and collaboration skills. Preferred Qualifications - Vendor certifications (NCDA, NCIE, Pure Storage certifications). - Experience with hybrid-cloud storage replication. - Familiarity with software-defined storage platforms beyond Ceph. - Experience with object storage at petabyte scale. - Exposure to AI/ML workloads with extreme I/O requirements. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544.

Role Description We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on: - GPU clusters - Distributed training frameworks - Scheduling - Storage performance - Developer experience for ML engineers and researchers The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Key Responsibilities - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. - Partner with research and applied ML teams to plan capacity for upcoming training runs. - Implement security controls, isolation, and access management for multi-tenant AI infrastructure. - Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. - Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. - Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of experience in infrastructure, platform, or HPC engineering. - Hands-on experience operating GPU clusters or large-scale ML training infrastructure. - Strong proficiency in Python and at least one systems language such as Go or C++. - Deep understanding of distributed training, accelerator architectures, and collective communication. - Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. - Strong understanding of Linux internals, networking, and high-performance storage. - Experience with at least one major cloud provider’s ML infrastructure offerings. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Preferred Qualifications - Experience operating InfiniBand or RDMA networking at scale. - Contributions to open-source ML infrastructure projects. - Familiarity with custom orchestrators or research-grade training stacks. - Exposure to frontier model training operations. - Experience with FinOps for AI workloads. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com .