• Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. • Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. • Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. • Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. • Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. • Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. • Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value.

Title: AI Data Infrastructure Engineer Location: Remote Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled AI Data Infrastructure Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. AI Data Infrastructure Engineer Job Title: AI Data Infrastructure Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an AI Data 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. Required 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) 698-4899. Learn more about Bright Vision Technologies at www.bvteck.com. 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. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description We’re looking for a sharp, self-motivated, problem-solving Senior Infrastructure Engineer to join our team. As a Senior Infrastructure Engineer, you’ll: - Work with a small team to build solutions in AWS that keep CompanyCam’s web and mobile applications humming. - Collaborate with product engineers to deploy new features and improve our existing infrastructure to make it more reliable, resilient, and secure. - Bring depth in one or more of the following areas: - Database operations and performance tuning - Search infrastructure (OpenSearch/Elasticsearch) - Observability and monitoring - Help scale and harden the systems that underpin CompanyCam's products as we grow. Qualifications - Strong knowledge of AWS, including its networking, relational database management, and cloud storage services. - Experience operating and tuning PostgreSQL or similar relational databases in production. - Experience deploying containerized applications and working with Github Actions and Terraform. - Capable of scripting in bash, ruby, and/or python. - Able to break down a complex task and document its solution. - Understands how to analyze an existing system to identify improvements. - Experience with AWS ECS/EKS Fargate. - Experience operating or tuning OpenSearch/Elasticsearch clusters. - Be technically savvy and hungry to learn. - Reside permanently and currently somewhere in the U.S. Requirements Must-haves: - Show up: give us your best and have the bravery to do difficult but necessary stuff. - Grow up: take responsibility, learn continuously, and have a growth mindset. - Do good: treat your co-workers and our customers the way you want to be treated. Nice-to-haves: - Expertise in one or more of the following: - Datadog, Grafana, OpenTelemetry - PGBouncer or similar connection pooling tools - AWS Fargate, Aurora PostgreSQL or OpenSearch - Designing systems for high availability and resiliency - Experience using AI/LLM tools to improve infrastructure or engineering workflows - Producing and presenting educational content of technical concepts Benefits - This is a salaried/hourly position at CompanyCam. - Our starting salary range is $200,000 - $210,000 per year and is based on experience. - We offer meaningful equity and other benefits.

Role Description Wir suchen einen erfahrenen System Engineer, der nicht nur betreibt, sondern mitdenkt, mitgestaltet und mit aufbaut. Du übernimmst Verantwortung für geschäftskritische IT-Infrastrukturen und moderne Cloud-Umgebungen – pragmatisch, lösungsorientiert und mit Blick fürs Ganze. - Betrieb, Weiterentwicklung und Härtung von Microsoft 365-, Azure- und Windows-Infrastrukturen - Verantwortung für Entra ID, Intune, Exchange Online, Teams (inkl. Telefonie) sowie Tenant-Konfiguration - Administration klassischer Windows-Server-Umgebungen (AD, GPO, DNS, DHCP, Fileservices) - Planung und Betrieb von Netzwerk- und Security-Infrastrukturen (VLAN, VPN, Firewalls, PKI) - Sicherstellung von Backup-, Virtualisierungs- und VDI-Lösungen (Veeam, ESXi/Proxmox, Citrix) - Aktive Mitarbeit an Security-Maßnahmen, Audits und Härtungskonzepten - Dokumentation, Automatisierung und strukturierter Betrieb mit modernen Tools Qualifications - Mehrjährige Erfahrung im Betrieb komplexer IT-Infrastrukturen - Tiefe Praxis in Microsoft- und Cloud-Technologien - Sehr gutes Verständnis für Netzwerk, Security und Identitätsmanagement - Solide Linux-Kenntnisse in der Serveradministration - Freude daran, Strukturen aufzubauen, Standards zu definieren und Verantwortung zu übernehmen - Hands-on-Mentalität, Eigeninitiative und Qualitätsbewusstsein Benefits - Gestaltungsspielraum statt reiner Abarbeitung - Moderne Toollandschaft und klare technische Standards - Verantwortung, Vertrauen und die Möglichkeit, nachhaltig etwas aufzubauen - Ein Umfeld, in dem Erfahrung geschätzt und Initiative ausdrücklich gewünscht ist