Role Description We are seeking an AI Infrastructure Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Key Responsibilities - Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows. - Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals. - Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale. - Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training. - Build high-throughput data loading systems that maximize GPU utilization during training. - Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems. - Design storage architectures balancing cost, throughput, and latency across data tiers. - Build evaluation dataset construction pipelines with strict integrity and contamination controls. - Implement data privacy, redaction, and consent enforcement throughout the pipeline. - Collaborate with ML researchers and engineers to align data systems with model development needs. - Drive observability of data quality, drift, and pipeline health across the AI data estate. - Optimize cost and performance through compression, format selection, and caching strategies. - Document data systems, schemas, and operational procedures for broad internal use. - Stay current with AI data infrastructure research and emerging open-source tools. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of data engineering experience, with significant work supporting ML or AI workloads. - Strong proficiency in Python and at least one JVM or systems language. - Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. - Hands-on experience operating petabyte-scale storage and pipeline systems. - Strong understanding of distributed systems, data modeling, and storage formats. - Experience with dataset versioning, lineage, and reproducibility for ML workflows. - Familiarity with high-throughput data loading for accelerator-based training. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Preferred Qualifications - Experience with multimodal datasets at large scale. - Familiarity with data quality tooling and dataset evaluation methodology. - Exposure to privacy-preserving data systems and regulated data handling. - Open-source contributions to data infrastructure projects. - Experience supporting frontier model training pipelines. 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) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com .

• Define and own the architecture vision, standards, and roadmap for KLDiscovery's client-hosting platforms • Lead architecture for major client-platform programs, including Nebula and Relativity hosting modernization, client data migrations at scale, multi-region expansion, and storage architecture for client review and processing workloads • Own cloud and network architecture strategy for client-facing platforms • Provide architectural oversight and review gates for cross-functional programs • Partner with the security organization on tenant isolation, client data protection, audit and compliance posture • Lead, mentor, and develop team, setting technical direction and raising the bar on design quality • Advise senior IT, Product, Client Services, and Sales and Solutions Engineering leaders on technology investments, build-versus-buy decisions

Role Description We are looking for a VMware Infrastructure Engineer to design, deploy, and operate VMware-based virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. The role covers: - vSphere - vSAN - NSX - Aria - Tanzu The focus is on automation, capacity management, and the practical realities of operating a large VMware estate alongside modern cloud-native workloads. The ideal candidate has operated VMware platforms at enterprise scale, navigates the evolving VMware product landscape pragmatically, and brings strong automation and operations discipline. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of hands-on VMware platform engineering experience. - Deep expertise in vSphere, vCenter, and ESXi. - Hands-on experience with vSAN and storage policy management. - Experience with NSX-T or NSX-V networking. - Strong PowerCLI scripting skills and experience with automation tooling. - Familiarity with Tanzu Kubernetes Grid or VMware container platforms. - Strong understanding of disaster recovery patterns and SRM. - Strong troubleshooting skills across compute, network, and storage layers. - Excellent communication and collaboration skills. Requirements - Design and operate VMware vSphere, vSAN, and NSX environments across data centers and hybrid cloud deployments. - Build and maintain Tanzu Kubernetes Grid environments for containerized workloads. - Implement vRealize / Aria Automation for self-service VM provisioning, lifecycle management, and policy enforcement. - Operate NSX-T for software-defined networking, including micro-segmentation and load balancing. - Manage vSAN clusters, storage policies, and storage performance for diverse workload classes. - Implement disaster recovery and business continuity using Site Recovery Manager and replication. - Build automation for VMware infrastructure using PowerCLI, Terraform, Ansible, and vRO. - Design capacity management strategies including right-sizing, reservation, and workload placement. - Operate VMware Cloud Foundation (VCF) deployments where applicable, applying lifecycle management, workload domain design, and integration patterns appropriate to the broader hybrid cloud strategy. - Implement and operate VMware integrations with cloud providers (VMware Cloud on AWS, AVS, GCVE). - Build observability for VMware infrastructure including performance, capacity, and compliance. - Lead VMware upgrades, lifecycle management cycles, and security patching across the virtualization estate, planning carefully sequenced rollouts that minimize disruption to dependent workloads. - Troubleshoot complex VMware issues spanning compute, network, and storage layers. - Stay current with VMware product evolution following the Broadcom transition. Benefits - 100% Remote work opportunity. - Full-time, direct W2 position. - Salary range: $100K - $150K. - Career growth potential within an established organization. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

• Leads and participates in IT infrastructure projects, including the design, deployment, and maintenance of server systems, cloud services, and virtualization platforms. • Ensures projects are completed on time and within budget. • Oversees the deployment of IT infrastructure components, including Windows, Linux, and virtualized environments. • Implements system updates, patches, and upgrades to ensure optimal performance and security. • Works closely with the architecture team to design and implement scalable and secure IT infrastructure solutions. • Ensures alignment with architectural standards and best practices. • Develops and implements backup and disaster recovery plans to ensure data integrity and business continuity. • Scripts in PowerShell for automation of routine tasks and configuration management. • Understands coding and scripting languages to support infrastructure automation. • Implements and manages infrastructure using IaC principles and tools like Terraform to automate deployment and configuration processes. • Participates in Agile workflow methodologies, including sprint planning, daily stand-ups, and retrospectives to ensure efficient project delivery. • Setups monitoring systems and tools to ensure the performance, availability, and reliability of our IT infrastructure. • Responds to IT infrastructure-related issues and provides timely resolution to minimize downtime. • Collaborates with other IT teams and vendors to troubleshoot complex problems and implement solutions. • Maintains accurate documentation of IT infrastructure configurations, processes, and procedures. • Generates regular reports on system performance, capacity, and security metrics.