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Remote Point Cloud Modeling Jobs in New York (NOW HIRING)

AeroVect

Staff Cloud Software Engineer

New York, NY · On-site +1

$65.75 - $85.25/hr

... remote backends. * Significant experience building and maintaining CI/CD pipelines using GitHub ... Experience with big data technologies such as DynamoDB, including data modeling, access patterns ...

SNC-Lavalin

Senior Mechanical/Piping Designer

New York, NY · On-site +1

$55 - $75/hr

This role could be remote within the United States or hybrid within one of our US Hub offices. Your ... necessary point cloud conversions for use in 3D model development. * Select piping components.

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Familiarity with cloud-based data platforms, particularly AWS. Responsibilities : * Integrate into ... Collaborate in pair programming, code reviews, and documentation of data models. * Implement ...

SNC-Lavalin

Senior Mechanical/Piping Designer

Edison, NJ · On-site +1

$55 - $75/hr

This role could be remote within the United States or hybrid within one of our US Hub offices. Your ... necessary point cloud conversions for use in 3D model development. * Select piping components.

Zencore

Director of Delivery Management

New York, NY · On-site +1

$231K/yr

Boutique model, global reach. Our teams are senior, our engagements move fast, and clients trust us ... Experience leading remote, multi-geo teams. Preferred Qualifications * Google Cloud experience ...

Zencore

Director of Delivery Management

New York, NY · Remote

$217K/yr

Boutique model, global reach. Our teams are senior, our engagements move fast, and clients trust us ... Experience leading remote, multi-geo teams. Preferred Qualifications * Google Cloud experience ...

Zencore

Director of Delivery Management

New York, NY · Remote

$231K/yr

Boutique model, global reach. Our teams are senior, our engagements move fast, and clients trust us ... Experience leading remote, multi-geo teams. Preferred Qualifications * Google Cloud experience ...

Mercor

DevOps Engineer - AI Model Evaluator

New York, NY · Remote

$85/hr

... Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote ... Review model-generated implementations involving cloud platforms , Kubernetes , CI/CD systems ...

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Remote Point Cloud Modeling information

What is remote point cloud modeling?

Remote point cloud modeling involves creating 3D digital representations of objects or spaces using point cloud data, which is typically collected through laser scanners or photogrammetry. The 'remote' aspect means that the modeling work is performed from a location other than the site where the data was captured, often using specialized software to process and interpret the data. This technology is widely used in industries such as construction, architecture, surveying, and engineering for tasks like as-built documentation, measurement, and visualization. Remote point cloud modelers convert raw point cloud data into usable models, such as BIM or CAD files, that are valuable for planning, analysis, and project management.

What are some common challenges faced by professionals working in remote point cloud modeling, and how can they be addressed?

One common challenge in remote point cloud modeling is managing large data files, which can cause slow upload/download speeds and software lag. Ensuring a reliable internet connection and using cloud-based collaboration tools can help mitigate these issues. Additionally, clear communication with team members is crucial, as remote work can sometimes lead to misunderstandings about project specifications or deadlines. Regular virtual meetings and detailed documentation can help keep everyone aligned and projects on track.

What are the key skills and qualifications needed to thrive as a remote point cloud modeler?

To thrive as a Remote Point Cloud Modeler, you need expertise in 3D modeling, spatial data interpretation, and proficiency with point cloud processing, often supported by a degree in geomatics, engineering, or architecture. Familiarity with technical tools such as Autodesk ReCap, Bentley Pointools, and laser scanning equipment, as well as certifications in CAD or BIM, are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills ensure accurate digital representations, efficient project collaboration, and high-quality deliverables critical for industries like construction, surveying, and design.
What are the most commonly searched types of Point Cloud Modeling jobs in New York? The most popular types of Point Cloud Modeling jobs in New York are:
What are popular job titles related to Remote Point Cloud Modeling jobs in New York? For Remote Point Cloud Modeling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Point Cloud Modeling jobs in New York look for? The top searched job categories for Remote Point Cloud Modeling jobs in New York are:
What cities in New York are hiring for Remote Point Cloud Modeling jobs? Cities in New York with the most Remote Point Cloud Modeling job openings:
Remote Point Cloud Modeling jobs near you
Infographic showing various Remote Point Cloud Modeling job openings in New York as of August 2026, with employment types broken down into 54% Full Time, 28% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

Staff Cloud Software Engineer

AeroVect

New York, NY • On-site, Remote

$65.75 - $85.25/hr

Full-time

Re-posted 25 days ago

Job description

Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world's largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Job Description
We are looking for a seasoned Staff Cloud Software Engineer to join our team and take ownership of our cloud infrastructure, security posture, and developer tooling. In this role, you will architect, deploy, and operate scalable, fault-tolerant systems on AWS while driving engineering excellence across the organization. You will partner closely with engineering, security, and operations teams to build robust CI/CD pipelines, manage cloud costs, and mentor the next generation of engineers. This is a staff individual contributor or technical lead manager role with broad scope, high visibility, and the opportunity to shape how we build and run software at scale with high availability and safety critical impact.
You Will:
  • Design, build, and operate fault-tolerant production systems on AWS, leveraging services such as ECS, ECR, and EC2 to deliver reliable, scalable applications.
  • Architect and manage cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices and enabling repeatable, auditable deployments.
  • Administer and maintain Google Workspace environments, including user provisioning, access control, and security configurations.
  • Own IAM strategy and user access management across AWS accounts, ensuring least-privilege access and compliance with security policies.
  • Build and maintain CI/CD pipelines using GitHub Actions and related build and test frameworks, enabling fast, safe, and automated software delivery.
  • Enforce and continuously improve IT security practices across user accounts, networking, and data and service access controls.
  • Manage virtualization technologies, PaaS, and SaaS environments within AWS, ensuring availability, performance, and cost efficiency.
  • Design and maintain systems with fault tolerance and high availability as first-class requirements, using best practices for production resilience.
  • Work with big data technologies such as DynamoDB to support data storage, retrieval, and processing needs at scale.
  • Mentor junior and mid-level engineers through code reviews, architectural guidance, and knowledge sharing; actively support engineering growth across the team.
  • Field and resolve infrastructure and platform support requests, providing timely and effective responses to engineering and operational needs.
  • Write automation and tooling in Python and Bash to streamline operations and improve developer productivity.

You Have:
  • Bachelor's or Master's degree in Computer Science, Robotics, or a related field.
  • 7+ years of experience building infrastructure and tooling for large-scale cloud operations.
  • Extensive hands-on experience with AWS development and administration, including ECS, ECR, and EC2.
  • Deep expertise in AWS IAM and user access management, including roles, policies, permission boundaries, and cross-account access patterns.
  • Proven experience with Google Workspace administration, including user lifecycle management, security settings, and integrations.
  • Strong proficiency with Terraform for infrastructure-as-code, including module design, state management, and remote backends.
  • Significant experience building and maintaining CI/CD pipelines using GitHub Actions and a variety of build, test, and deployment frameworks.
  • Demonstrated IT security experience spanning user account management, network security, and data and service access governance.
  • Experience managing virtualization technologies and related PaaS and SaaS solutions in AWS production environments.
  • A track record of designing and operating fault-tolerant, highly available systems in production at scale.
  • Experience with big data technologies such as DynamoDB, including data modeling, access patterns, and operational management.
  • Experience mentoring engineers and fielding platform or infrastructure support requests in a collaborative team environment.
  • Strong programming skills in Python and Bash for scripting, automation, and operational tooling.

We Prefer:
  • Experience with additional AWS services including Lambda, Batch, SageMaker, and VPC design and management.
  • Experience with CloudFormation for automated provisioning.
  • Experience working with Autonomy or Robotics infrastructure.
  • Hands-on experience with ROS/ROS2 and robotic software deployment pipelines.
  • Proficiency in C++ development for performance-critical systems or systems programming contexts.
  • Experience working with AI in development support and project execution.
  • Engineering management or team lead experience, with a history of guiding technical direction and supporting team growth.
  • Familiarity with cloud cost optimization strategies.
  • Experience with cloud visualization, analytics, metrics, and dashboarding tools for operational visibility and observability.
  • Proficiency with Agile development methodologies and KPI-driven engineering practices.
  • Hands-on experience with Kubernetes, Docker, and Jenkins for container orchestration and legacy CI/CD workflows.

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