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Remote Lead Cloud Engineer Jobs in California (NOW HIRING)

Astrix Inc

AWS Cloud Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $45/hr

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 ...

NEOGOV

Senior Cloud Engineer

El Segundo, CA · On-site +1

$59.50 - $79.25/hr

Remote Optional Job Number: 00930 Department: R&D Ops Division: Power Opening Date: 07/16/2026 ... We're looking for a Sr. AWS Cloud Engineer to join our team and work closely with the product owner ...

Centric Software

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 ... Lead platform direction for managed Kubernetes in a multi-cloud operating model. * Lead migration ...

Fastly

Senior Cloud Engineer

San Francisco, CA · On-site +1

$65 - $84/hr

Senior Cloud Engineer Our customers are interested in optimizing their product delivery, global ... This position is open to remote workers in the following preferred regions (US): * Pacific Timezone ...

Centric Software

Cloud Principal Engineer

Campbell, CA · Remote

Anywhere in US / Remote Experience level: 5 Years Compensation: Negotiable Role Summary We are ... Lead platform direction for managed Kubernetes in a multi-cloud operating model. * Lead migration ...

Wells Fargo

Lead Infrastructure Engineer

Concord, CA · On-site +1

$118K - $154K/yr

Wells Fargo is seeking a Lead Infrastructure Engineer to drive the evolution of our AWS cloud ... remote state securely, and automating AWS infrastructure deployments at scale. Desired ...

Noor Staffing Group

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

... a multi cloud AI stack (OpenAI, Anthropic, GCP, Azure). You'll architect solutions, mentor ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

Noor Staffing Group

Lead AI Engineer

Los Angeles, CA · Remote

$160K - $180K/yr

... a multi cloud AI stack (OpenAI, Anthropic, GCP, Azure). You'll architect solutions, mentor ... Location: Remote * Full time, exempt Responsibilities * Lead end to end design, delivery, and ...

DocuSign

Cloud Platform Engineer

San Francisco, CA · On-site +1

Employee divides their time between in-office and remote work. Access to an office location is ... Cloud Engineering, DevOps, Platform, or Infrastructure Engineering roles * Experience writing ...

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

We've built an early version of this cloud machine today, which we call PatternAI, and we're just ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

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Remote Lead Cloud Engineer information

What is a remote lead cloud engineer?

A Remote Lead Cloud Engineer is a senior IT professional who designs, implements, and manages cloud computing solutions while working remotely. They lead teams, oversee cloud infrastructure, and ensure systems are secure, scalable, and efficient. This role often involves collaborating with stakeholders, setting cloud architecture standards, and troubleshooting complex technical issues. As a lead, they also mentor junior engineers and help drive cloud strategy for their organization.

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

To thrive as a Remote Lead Cloud Engineer, you need advanced expertise in cloud architecture, infrastructure automation, and strong knowledge of platforms like AWS, Azure, or Google Cloud, typically backed by a relevant degree and industry certifications (e.g., AWS Certified Solutions Architect). Proficiency with tools such as Terraform, Kubernetes, CI/CD pipelines, and cloud monitoring systems is essential. Exceptional communication, leadership, and problem-solving abilities set outstanding candidates apart, especially in distributed teams. These skills and qualities are vital for designing resilient cloud solutions, leading teams effectively, and ensuring seamless remote operations.

What are the main challenges faced by a remote lead cloud engineer, and how can I prepare for them?

As a Remote Lead Cloud Engineer, one of the main challenges is effectively coordinating with distributed team members across different time zones while ensuring seamless implementation of cloud solutions. You'll also need to manage complex cloud architectures and troubleshoot issues without immediate on-site support. To prepare, it's helpful to develop strong communication skills, become proficient with collaboration tools, and stay current with cloud technologies and security best practices. Demonstrating leadership in virtual environments and proactively addressing potential bottlenecks will help you thrive in this role.

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

The most popular types of Lead Cloud Engineer jobs in California are:

What are popular job titles related to Remote Lead Cloud Engineer jobs in California?

For Remote Lead Cloud Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Lead Cloud Engineer jobs in California look for?

The top searched job categories for Remote Lead Cloud Engineer jobs in California are:

What cities in California are hiring for Remote Lead Cloud Engineer jobs?

Cities in California with the most Remote Lead Cloud Engineer job openings:

Remote Lead Cloud Engineer jobs near you

AWS Cloud Engineer (Remote)

Astrix Inc

San Francisco, CA • On-site, Remote

$40 - $45/hr

Full-time, Contractor

Re-posted 17 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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