Jobs in the United States

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Added 1 min ago
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Staff Software Engineer - Metadata
Snowflake
Bellevue, WA
- $128,000 to $184,000 USD / year
- Raise the operational bar through observability, safe rollouts, and blast-radius controls.
Added 3 mins ago
Staff Software Engineer
natgridProd
Waltham, MA · Brooklyn, NY
Design and implement observability solutions (monitoring, logging, alerting, and tracing) across all DERMS environments using the LGTM stack (Loki for logs, Grafana for visualization, Tempo…
Added 3 mins ago
Senior Data Architect
Datavail Corporation
Remote, United States
Define target-state and transition architectures for analytics, data warehousing, Lakehouse, real-time and operational data workloads
Added 9 mins ago
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Senior Engineer, Core Infrastructure
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Today, every new region and service feature adds operational cost and complexity. Autonomous OCI is designed to change that by making services fast, resilient, and self-healing by default -…
Added 14 mins ago
TV
Software Engineer, Platform Team
The Voleon Group
Remote, United States
- $235,000 to $300,000 USD / year
- Improve system reliability, observability, and operational performance
Added 15 mins ago
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Senior Staff Software Engineer, Backend (Compute Platform)
Affirm
Remote, United States
- $265,000 to $325,000 USD / year
Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits
Added 19 mins ago
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Engineering Manager, Admin Experience
Horizon3
Remote, United States
- $225,000 to $265,000 USD / year
- Set expectations for quality and operational readiness, including tests, safe rollout practices, observability, design documentation, runbooks, and support materials.
Added 22 mins ago
Staff Level Security Engineer/Okta/AWS/Risk
Kelly Services
Remote, United States
We are seeking a Staff Security Engineer to join an innovative, technology-driven company fully remote, on a full-time basis. This is a high-impact opportunity to help shape and scale the…
Added 24 mins ago
Sr. MLOps Engineer
Robert Half
King of Prussia, PA
Description We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building…
Added 25 mins ago
EG
Senior Data Engineer
Eliassen Group
Harrisburg, PA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 29 mins ago
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Messaging & Streaming Platform Engineer
Kforce
Round Rock, TX
- $45 to $58 USD / hour
Familiarity with AI-assisted observability, incident management, operational analytics, or intelligent automation solutions
Added 35 mins ago
Principal Front-End Network Engineer
Nscale
United States
…These networks support inference traffic, cluster management, data ingress/egress, shared storage connectivity, long-haul circuits, and carrier handoffs. You will operate as a senior…
Added 42 mins ago
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Senior Software Engineer, Core Infrastructure
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Own observability and operational readiness: metrics, logs, tracing, SLOs, run-books, capacity planning, and thoughtful on-call participation.
Added 43 mins ago
Principal Enterprise Software Engineer
Wolters Kluwer United States Inc.
Kennesaw, GA · Houston, TX · Minneapolis, MN
Wolters Kluwer is seeking a hands-on Principal AI Solutions Engineer in our Architecture & Engineering Services (AES) Team to architect, build, and deploy enterprise-scale AI solutions on…
Added 48 mins ago
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Staff Backend Engineer, Admin Experience
Horizon3
Remote, United States
- $230,000 to $270,000 USD / year
- Raise standards for API quality, testing, security, observability, rollout practices, and operational readiness.
Added 52 mins ago
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Senior Software Engineer
Microsoft
WA · CA · Redmond, WA · San Francisco, CA · Mountain View, CA · Redmond · San Francisco · Mountain View
- $119,800 to $261,000 USD / year
We are seeking a Senior Software Engineer to build autonomous operational capabilities for COSMIC.
Added 54 mins ago
MT
Senior AI Platform Engineer
Modern Technology Solutions Inc
Springfield, VA · St. Louis, MO · Springfield · St. Louis
- $130,000 to $225,000 USD / year
The Senior AI Platform Engineer will also help develop an enterprise architecture digital twin, connecting UAF and SysML models with real-time and near-real-time operational data. These…
Added 58 mins ago
EG
Senior Data Engineer
Eliassen Group
Little Rock, AR
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Senior Platform Software Engineer
ComPsych Corporation
UNAVAILABLE
Reliability and security engineering experience in production - observability, SLOs, incident response, resilient architectures, and secure handling of sensitive or regulated data.
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Jefferson City, MO
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Senior DevOps Engineer
Society of Actuaries Research Institute
SCHAUMBURG, IL
…you’ll advance Infrastructure as Code (IaC), CI/CD pipelines, observability, and AIOps practices. You’ll apply platform engineering principles, self-service infrastructure, and AI-driven…
Added 1 hour ago
Senior Platform Engineer
EarnIn
Mountain View, CA
We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
Added 1 hour ago
Senior Platform Engineer
EarnIn
Mountain View, CA
We're seeking a Senior Platform Engineer (I4) to design, build, and operate the agentic systems and core infrastructure that power our platform. You will work across Kubernetes (AWS EKS),…
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Richmond, VA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Cloud Application Modernization Senior Staff Engineer, Claims Clearinghouse
Experian
United States
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to…

Bright Vision Technologies

ML Platform Engineer

Monroe Township, NJ, United States

$100,000 to $160,000 USD / year

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Job details

Pay: $100,000 to $160,000 USD / year
Apply by: Jan 27, 2027
Experience: Experience Required: 10+ years
Posting language: English
Posted: Oct 29, 2026

Original job description

ML 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: ML Platform Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$160,000 Annually Experience Required: 10+ 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 ML 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.

Key Responsibilities

Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems.
Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing.
Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints.
Build autoscaling and capacity management systems that balance latency, throughput, and cost.
Tune GPU utilization, memory management, and KV cache strategies for LLM serving workloads.
Integrate model serving with API gateways, identity systems, and observability platforms.
Implement caching, prompt deduplication, and response reuse strategies where appropriate.
Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking.
Develop deployment workflows including canary releases, shadow testing, and automated rollback.
Operate incident response for high-availability AI services and drive durable reliability improvements.
Collaborate with ML and product teams to support new model releases and capability rollouts.
Implement security controls including request signing, content filtering, and abuse detection at the serving layer.
Document operational procedures, performance characteristics, and tuning guidance for internal teams.
Stay current with AI serving research and translate advances into production capabilities.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field.
10 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 vcLLM 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 venkat.r@bvteck.com or contact us at (908) 505-3899. 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.

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Skills

ML
Incident response
Research
Computer science
Python
Go
Rust
C++
Kubernetes
Communication skills

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