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Remote Cloud Support Jobs in California (NOW HIRING)

Remote (U.S.) Duration: 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 ... Support high-performance data processing pipelines and cloud-based applications. * Follow software ...

AWS GovCloud Engineer IRC302313

San Jose, CA · On-site +1

$65.25 - $87.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Support standardized cloud resource creation and management, including VPC patterns, prefix lists, IAM patterns, and account-level controls. Build or adapt Cloud Foundations services for federal use ...

New

... cloud solutions that address complex business challenges. This position is remote. Must be able to ... Support the implementation and deployment of AWS solutions, ensuring adherence to AWS architectural ...

Senior Cloud Engineer

El Segundo, CA · On-site +1

$59.50 - $79.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Generous PTO to support work-life balance * Remote working opportunities * 401K Matching * Autonomy ... Cloud Development Kit) or Terraform? Required Question

Cloud Principal Engineer

Campbell, CA · On-site +1

$64.50 - $86.25/hr

Anywhere in US / Remote Experience level: 5 Years Compensation: Negotiable Role Summary We are building a new Cloud Engineering function to modernize our platform, improve infrastructure economics ...

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Lead BigID deployments and upgrades across on-prem and cloud environments * Implement and configure ... Support data privacy workflows such as DSAR, consent management, and data retention * Develop and ...

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Lead BigID deployments and upgrades across on-prem and cloud environments * Implement and configure ... Support data privacy workflows such as DSAR, consent management, and data retention * Develop and ...

Software Engineer, Cloud

Palo Alto, CA · On-site +1

$126K - $145K/yr

Software Engineer, Cloud Location:Palo Alto, California (Hybrid, 3 days per week) This role is for ... The goal of this role is to design and develop key software systems for remote setup, management ...

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Showing results 1-20

Remote Cloud Support information

What is a remote cloud support?

A Remote Cloud Support job involves assisting customers or clients with issues related to cloud-based services and infrastructure, all while working from a remote location. Professionals in this role troubleshoot technical problems, provide guidance on cloud tools, and help manage cloud resources such as servers, storage, and applications. They often interact with customers via email, chat, or phone, and may also work with various cloud platforms like AWS, Azure, or Google Cloud. Strong communication and problem-solving skills are essential, along with a solid understanding of cloud technologies.

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

To thrive as a Remote Cloud Support specialist, you need a solid understanding of cloud computing platforms (such as AWS, Azure, or Google Cloud), networking, troubleshooting, and often a degree in computer science or a related field. Familiarity with cloud management tools, ticketing systems, and relevant certifications like AWS Certified Solutions Architect or CompTIA Cloud+ is typically required. Excellent problem-solving, communication, and customer service skills help you address client issues efficiently and maintain strong relationships. These skills ensure effective resolution of technical challenges, high customer satisfaction, and reliable cloud service delivery in a remote work environment.

What are some common challenges faced by remote cloud support, and how can they be managed?

Remote Cloud Support professionals often encounter challenges such as troubleshooting complex cloud infrastructure issues without direct, on-site access and collaborating across time zones with global teams. To manage these, strong communication skills and proficiency with remote diagnostic tools are essential. Staying updated with evolving cloud technologies and practicing proactive problem-solving can also help in addressing technical issues efficiently. Building good relationships with both clients and internal teams ensures smoother collaboration and more effective support.

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

AspectRemote Cloud SupportRemote Cloud Engineer
CertificationsCloud certifications (e.g., AWS, Azure) often preferredSimilar certifications, with additional focus on architecture and development
Work EnvironmentCustomer support, troubleshooting, and issue resolutionDesigning, deploying, and maintaining cloud infrastructure
Employer & Industry UsageIT service providers, cloud service companiesTech companies, cloud service providers, enterprise IT teams
Search & Comparison IntentUnderstanding support roles in cloud servicesExploring cloud infrastructure development and deployment

Remote Cloud Support focuses on assisting clients with troubleshooting and resolving cloud-related issues, often in a customer support capacity. Remote Cloud Engineers design, implement, and maintain cloud infrastructure, requiring more technical expertise. While both roles involve cloud platforms and certifications, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Cloud Support jobs in California?

The most popular types of Cloud Support jobs in California are:

What cities in California are hiring for Remote Cloud Support jobs?

Cities in California with the most Remote Cloud Support job openings:

Infographic showing various Remote Cloud Support job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution.

AWS Cloud Engineer (Remote)

Astrix Inc

San Francisco, CA • On-site, Remote

$40 - $45/hr

Full-time, Contractor

Re-posted 14 days ago


Job description

Pay Rate Low: 40 | Pay Rate High: 70
Our client is a global biotechnology company seeking an experienced AWS Cloud Engineer with strong Python development skills to support the design and modernization of cloud-based data engineering and bioinformatics platforms.
Position: AWS Cloud Engineer - Python (Contract)
Location: Remote (U.S.)
Duration: 12-Month Contract (High Potential for Extension)
Schedule: Full-Time (40 hours/week) | Must be available during Pacific Time business hours
Pay rate: $40-45/hr+ (Benefits included)
Position Overview
This role focuses on building scalable, serverless AWS solutions, integrating AI-powered services, and developing high-performance cloud infrastructure in a collaborative research environment.
Key Responsibilities
  • Design, develop, and maintain scalable cloud applications using Python and AWS.
  • Build and enhance serverless architectures and event-driven applications.
  • Integrate AI/GenAI solutions into internal tools to improve data accessibility and workflow automation.
  • Develop cloud infrastructure using Infrastructure as Code (Terraform).
  • Collaborate with cross-functional engineering teams to rapidly prototype and deliver innovative solutions.
  • Support high-performance data processing pipelines and cloud-based applications.
  • Follow software engineering best practices, including testing, version control, CI/CD, and documentation.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical field.
  • 5+ years of software engineering experience with Python.
  • MUST be authorized to work in the United States without sponsorship.
  • AWS Developer Certification (or equivalent AWS certification).
  • Strong experience developing applications in AWS cloud environments.
  • Hands-on experience with:
    • AWS Lambda, Step Functions, SQS, SNS
    • EKS, ECS, S3, ALB
    • Terraform (Infrastructure as Code)
    • Event-driven and serverless architectures
  • Experience with Git, CI/CD pipelines (GitLab CI preferred), and cloud deployment best practices.
  • Knowledge of data structures, API/schema design, and distributed systems.
Preferred:
  • Experience working within scientific, research, life sciences, or bioinformatics environments.
  • Familiarity with AI/ML concepts and GenAI technologies.
  • Experience with React, HTML/CSS, JavaScript, or Java.
  • Experience developing applications for high-performance computing (HPC).

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