--- title: Infrastructure Reliability Engineer description: Bright Vision Technologies is hiring for the Infrastructure Reliability Engineer role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/infrastructure-reliability-engineer-at-bright-vision-technologies-01a0d5e8-c3ab-7b77-9f01-ffa876cf532b date: 2026-09-28T02:27:14Z og_description: Join Bright Vision Technologies as Infrastructure Reliability Engineer. Pays $100K–$150K per year. Full-time, remote role. og_image: https://www.foundrole.com/og/jk8bul.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | Bright Vision Technologies | | **Location** | Remote | | **Salary** | $100K/yr - $150K/yr | | **Type** | Full Time | | **Posted** | Sep 24, 2026 | ## Remote check **Fully remote: passed our check.** The role itself is remote, with no recurring office days, travel under 10%, no on-site duties and no end date on the remote setup. - "Location: 100% Remote (U.S.)" **Where you can work from:** United States ## Description **Infrastructure Reliability Engineer – Remote** Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. **Job Title:** Infrastructure Reliability Engineer **Location:** 100% Remote (U.S.) **Position Type:** Full-time, Direct W2 **Salary Range:** $125,000–$170,000 Annually **Experience Required:** 6+ years **Job Summary** We are seeking an Infrastructure Reliability 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 Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at [www.bvteck.com](http://www.bvteck.com). **Bright Vision Technologies is an Equal Opportunity Employer.** 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. ## Skills - Construction - Privacy Engineering - Data Ingestion - Machine Learning Model Training - Data Privacy - Open-Source Software - Data Management - High-Throughput Screening - Caching - Code Review - Python - Active Learning - Observability - Artificial Intelligence - Apache Spark - AI Training - Data Cleansing - Continuous Improvement Process - Collaboration - CI/CD - Software Versioning - Multimodal Machine Learning - Data Loading - GPU (Graphics Processing Unit) - Data Modeling - Computer Science - Data Quality - Machine Learning Model Development - Data Lineage - Human-in-the-Loop - Quality Assurance - Data Engineering - Communication - Document Redaction - Machine Learning - Ray (Distributed Computing) - Java Virtual Machine (Jvm) - Data Processing - Distributed Systems ## How to Apply [Apply for this position](https://www.foundrole.com/jobs/infrastructure-reliability-engineer-at-bright-vision-technologies-01a0d5e8-c3ab-7b77-9f01-ffa876cf532b?utm_source=ai_markdown) ## Related - [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)