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Remote Cloud Engineer Jobs in Secaucus, NJ (NOW HIRING)

Staff Cloud Software Engineer

New York, NY · On-site +1

$65.75 - $85.25/hr

We are looking for a seasoned Staff Cloud Software Engineer to join our team and take ownership of ... remote backends. * Significant experience building and maintaining CI/CD pipelines using GitHub ...

US - CA Remote Goleta Interested applicants mustresidein one of the following approvedstates ... cloud infrastructure engineering, or related technical disciplines, including principal-level ...

Senior Software Engineer (Cloud)

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a software engineer with cloud infrastructure experience - preferably within the AWS ecosystem. You will be a founding ...

Lead Cloud Architect

New York, NY · On-site +1

$160K - $225K/yr

... engineers. You will own the target-state architecture for our Azure estate and the standards ... remote work depending on the nature of the role, needs of your department, as well as local laws ...

DevOps Engineer - Remote

New York, NY · Remote

$57.75 - $79/hr

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ...

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Genesys Cloud Architect

New York, NY · Remote

$71 - $90.50/hr

Guide and mentor engineering teams, ensuring best practices and architectural standards are ... remote work. * Growth Mindset : reap the benefits of a range of professional development ...

Showing results 21-40

Remote Cloud Engineer information

See Secaucus, NJ salary details

$23

$63

$88

How much do remote cloud engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote cloud engineer in Secaucus, NJ is $63.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $72.84 per hour, depending on experience, location, and employer.

What is a remote cloud engineer?

A Remote Cloud Engineer is an IT professional who designs, implements, and manages cloud-based infrastructure and services for organizations, all while working remotely. Their responsibilities often include configuring cloud environments, ensuring security and compliance, automating deployments, and troubleshooting technical issues. Remote Cloud Engineers work with platforms like AWS, Azure, or Google Cloud, and collaborate with teams using virtual communication tools. This role allows professionals to contribute to cloud projects without needing to be physically present at the company's office, making it ideal for those seeking flexible work arrangements.

What does a remote cloud engineer do?

As a remote cloud engineer, you work from home to design and develop software that runs in the cloud and maintain cloud systems and hardware. If you specialize in software development, then you typically write and test software. If your focus is on infrastructure, then your duties revolve around designing and deploying hardware and storage systems, implementing backup procedures, and ensuring the security of computer resources. In an information management role, your responsibilities include managing high-volume data migrations or supporting clients by architecting solutions for complex business needs.

What are the key skills and qualifications needed to thrive as a remote cloud engineer, and why are they important?

To thrive as a Remote Cloud Engineer, you need a strong background in computer science, cloud architecture, and experience with platforms like AWS, Azure, or Google Cloud, often supported by relevant degrees or certifications. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CI/CD pipelines, and cloud security best practices is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure secure, scalable cloud solutions and seamless teamwork, even when working remotely.

How do remote cloud engineers typically collaborate with team members across different time zones?

Remote Cloud Engineers often work with globally distributed teams, which means effective communication and coordination are essential. Collaboration is usually managed through tools like Slack, Microsoft Teams, or Jira, while regular video meetings help keep everyone aligned. Engineers need to be proactive in documenting their work and updates to ensure transparency and continuity, especially when team members may not be online simultaneously. Flexibility with schedules and strong written communication skills are key to overcoming time zone challenges and maintaining team productivity.

What is the difference between Remote Cloud Engineer vs Cloud Developer?

AspectRemote Cloud EngineerCloud Developer
Required CredentialsCloud certifications (AWS, Azure, GCP), Linux, networkingProgramming skills, cloud platform knowledge, certifications optional
Work EnvironmentCloud infrastructure, deployment, troubleshootingApplication development, coding, software design
Employer & Industry UsageIT companies, cloud service providers, tech firmsSoftware companies, startups, SaaS providers
Common Search & Comparison IntentUnderstanding roles, skills, job requirementsDevelopment focus, coding responsibilities

Remote Cloud Engineers focus on managing and maintaining cloud infrastructure, while Cloud Developers primarily develop applications on cloud platforms. Both roles often require cloud certifications and work in tech-driven environments, but their core responsibilities differ—one handles infrastructure, the other software development.

Is remote cloud engineering still in demand?

Remote cloud engineering remains in high demand due to the ongoing growth of cloud services and digital transformation across industries. Professionals with skills in cloud platforms like AWS, Azure, or Google Cloud, along with certifications and experience in automation and security, are particularly sought after. The role often requires strong problem-solving skills and the ability to work independently in a remote environment.

What are the most commonly searched types of Cloud Engineer jobs in Secaucus, NJ?

The most popular types of Cloud Engineer jobs in Secaucus, NJ are:

What are popular job titles related to Remote Cloud Engineer jobs in Secaucus, NJ?

For Remote Cloud Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Cloud Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Remote Cloud Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Remote Cloud Engineer jobs?

Cities near Secaucus, NJ with the most Remote Cloud Engineer job openings:

Infographic showing various Remote Cloud Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $132,985 per year, or $63.9 per hour.

Staff Cloud Software Engineer

AeroVect

New York, NY • On-site, Remote

$65.75 - $85.25/hr

Full-time

Re-posted 22 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.