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Remote Boring Machine Operator Jobs in Hempstead, NY

Remote Start Date Is: ASAP Duration: 6 Month Contract to Hire Compensation Range: $80-95/hr W2 ... The ideal candidate is a builder who is comfortable operating in an early-stage environment ...

(Senior) AI Scientist (m/f/d)

New York, NY · On-site +1

$150K - $300K/yr

... operators with deterministic solvers and physics-based simulations * Working on causal modeling ... PhD (or equivalent research experience) in Machine Learning, Computer Science, Physics, Applied ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... and operating the data platform, governance framework, and analytics capabilities that power ... Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH ain ...

From these visits, they will recommend parts and service solutions to improve machine uptime ... Working knowledge of operating multiple OEM MRI's is an asset. * Preferred locations - North East ...

Lead Mainframe Developer

New York, NY · On-site +1

$126K - $159K/yr

Our industry-leading portfolio unlocks human and machine potential to drive business growth ... Experience in developing working code utilizing low-level operating system functions to accomplish ...

Showing results 41-54

Remote Boring Machine Operator information

See Hempstead, NY salary details

$15

$21

$31

How much do remote boring machine operator jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote boring machine operator in Hempstead, NY is $21.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.50 per hour, depending on experience, location, and employer.

What is the difference between Remote Boring Machine Operator vs Drilling Machine Operator?

AspectRemote Boring Machine OperatorDrilling Machine Operator
CredentialsTypically requires specialized certifications in boring and excavationRequires drilling certifications and safety training
Work EnvironmentWorks remotely on large-scale boring projects, often underground or at construction sitesOperates drilling equipment on construction sites, oil fields, or mining locations
Industry UsageCommon in tunneling, infrastructure, and underground constructionUsed in oil & gas, mining, and construction industries

The Remote Boring Machine Operator and Drilling Machine Operator roles share similarities in certifications and work environments, but differ mainly in project scope and industry focus. Remote Boring Machine Operators typically work on underground tunneling projects requiring specialized skills, while Drilling Machine Operators focus on surface drilling tasks in various industries.

What are popular job titles related to Remote Boring Machine Operator jobs in Hempstead, NY?

For Remote Boring Machine Operator jobs in Hempstead, NY, the most frequently searched job titles are:

What job categories do people searching Remote Boring Machine Operator jobs in Hempstead, NY look for?

The top searched job categories for Remote Boring Machine Operator jobs in Hempstead, NY are:

What cities near Hempstead, NY are hiring for Remote Boring Machine Operator jobs?

Cities near Hempstead, NY with the most Remote Boring Machine Operator job openings:

Infographic showing various Remote Boring Machine Operator job openings in Hempstead, NY as of August 2026, with employment types broken down into 43% Full Time, 55% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $44,781 per year, or $21.5 per hour.

Platform Engineer AI Automation Platform

iShare Inc

Jersey City, NJ • Remote

$65/hr

Full-time

Re-posted 14 days ago


Job description

Job Title: Platform Engineer – AI & Automation Platform
Location: Remote/onsite, USA
Experience Required: 8+ years
We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.
Key Responsibilities
* Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
* Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
* Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
* Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
* Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
* Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
* Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
* Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
* Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
* Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
* Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
* Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
* Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
* Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services
Required Qualifications
* 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
* Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
* Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
* Experience with infrastructure automation, deployment scripting, environment management, and configuration management
* Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
* Experience supporting cloud-native and hybrid architectures across Azure and AWS
* Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
* Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
* Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
* Experience supporting agile product delivery teams in large enterprise environments
* Strong troubleshooting, automation, and systems thinking capabilities
Preferred Qualifications

* Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
* Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
* Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
* Experience with containerization, serverless architectures, and modern cloud platform services
* Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
* Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments
Core Technologies
* Microsoft Power Platform
* Dataverse
* Dynamics 365 Finance & Operations
* Azure Services
* AWS Services
* Azure DevOps
* GitHub
* REST APIs & Integrations
* Power Platform Copilot Studio
* M365 Copilot
* Azure AI Foundry
* CI/CD & Automation Tooling
* Observability & Monitoring Platforms
* Automated Testing & Quality Engineering Tooling

This is a remote position.