About the role

The Data Platform Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production. Responsibilities include managing request routing, batching, caching, autoscaling, and ensuring end-to-end observability across diverse model workloads.

What they look for

Python Go Rust C++ Distributed systems Machine learning vLLM TensorRT-LLM GPU architecture Kubernetes Autoscaling Observability Performance engineering Capacity planning Infrastructure engineering API development

Requirements

Candidates must have a Bachelor’s or Master’s degree in Computer Science or a related field and at least six years of experience in distributed systems or ML platform engineering. Proficiency in Python and a systems language like Go, Rust, or C++ is required, along with hands-on experience in high-throughput model inference frameworks.

Full description

Data Platform 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: Data Platform Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary We are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving. Required Qualifications• Bachelor’s or Master’s degree in Computer Science or a related field.

Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
Strong proficiency in Python and a systems language such as Go, Rust, or C++.
Deep experience operating high-throughput, low-latency services in production.
Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
Experience with observability stacks including metrics, tracing, and structured logging.
Solid grounding in performance engineering and capacity planning.
Strong communication and incident response skills.

Preferred Qualifications• Open-source contributions to model serving infrastructure.

Experience with multi-region or globally distributed AI serving.
Familiarity with model quantization, distillation, and compression techniques.
Exposure to FinOps for AI workloads and cost-efficient serving design.
Experience supporting external-facing AI APIs at scale.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at 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.