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Cloud Automation Engineer Remote Jobs in California

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 ... Automation-first operations for non-production controls. * Application modernization toward ...

Hyperfine

Test Automation Engineer

Palo Alto, CA · On-site +1

$126K - $145K/yr

Palo Alto, California (Hybrid, 3 days per week) The Cloud Test Automation Engineer will be primarily responsible for designing, implementing, and maintaining automated testing frameworks and quality ...

TERABASE ENERGY INC

Automation Engineer

Davis, CA · On-site +1

... automation platform. We work alongside project developers, owners, and engineering & construction ... Remote flexibility * Flexible time off * Comprehensive benefits package * Career progression * 401k ...

Eze Castle Integration

Cloud Architect

West Los Angeles, CA · Remote

$72.50 - $92.50/hr

As our cloud platform continues to evolve, we're investing heavily in Infrastructure-as-Code, automation, and Azure engineering. We're seeking an experienced Cloud Architect who enjoys solving ...

iXsystems

Performance & Automation Engineer I

Campbell, CA · On-site +1

$70K - $75K/yr

The Performance & Automation Engineer has a part to play in two interconnected disciplines: test ... This is a remote position in the United States Base Pay Range The base pay range of this position ...

Single Grain

AI Automation Engineer

Los Angeles, CA · Remote

We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to ... We're hiring an AI Automation Engineer to find inefficiencies across the company and eliminate them ...

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Cloud Automation Engineer Remote information

What is a Cloud Automation Engineer (Remote)?

A Cloud Automation Engineer (Remote) is an IT professional who specializes in designing, implementing, and managing automated solutions for cloud-based systems, while working from a remote location. Their main responsibilities include creating scripts and workflows to automate deployment, scaling, monitoring, and maintenance tasks in cloud environments such as AWS, Azure, or Google Cloud. By leveraging tools like Terraform, Ansible, or Kubernetes, they help organizations increase efficiency, reduce manual errors, and optimize costs. Remote Cloud Automation Engineers collaborate with development and operations teams using virtual communication tools, ensuring seamless cloud infrastructure management regardless of their physical location.

What are the key skills and qualifications needed to thrive as a Cloud Automation Engineer (Remote), and why are they important?

To thrive as a Cloud Automation Engineer (Remote), you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure as code (IaC) principles, scripting languages like Python or Bash, and often a degree in computer science or a related field. Familiarity with automation tools (e.g., Terraform, Ansible, Jenkins), CI/CD pipelines, and relevant certifications like AWS Certified DevOps Engineer or Azure DevOps Engineer are highly valued. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in a distributed team environment. These skills ensure efficient, secure, and scalable cloud infrastructure management, supporting business agility and reliability.

What are some common challenges faced by Cloud Automation Engineers working remotely, and how can they overcome them?

Cloud Automation Engineers working remotely often encounter challenges such as coordinating with distributed teams, managing secure remote access to cloud environments, and staying updated on rapidly evolving cloud technologies. To overcome these, it's important to establish clear communication channels, utilize collaboration tools like Slack or Microsoft Teams, and follow best practices for cloud security. Regularly participating in virtual team meetings and industry webinars can also help maintain alignment and foster professional growth.
What are the most commonly searched types of Cloud Automation Engineer jobs in California? The most popular types of Cloud Automation Engineer jobs in California are:
What are popular job titles related to Cloud Automation Engineer Remote jobs in California? For Cloud Automation Engineer Remote jobs in California, the most frequently searched job titles are:
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Infographic showing various Cloud Automation Engineer Remote job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Cloud Principal Engineer

Centric Software

Campbell, CA • On-site, Remote

$64.50 - $86.25/hr

Full-time

Re-posted yesterday

Job description

About Centric Software:
Centric Software® is a global leader, providing an innovative and AI-enabled product-concept-to-commercialization platform for retailers, brands and manufacturers of all sizes. We equip retail, fashion, luxury, footwear, outdoor, home and consumer goods brands with pioneering best-of-breed solutions to plan, design, develop, source, comply, buy, make, price, allocate, sell and replenish products. Our technology powers brands to streamline processes, drive efficiency and operate with confidence in an ever-changing market.
Our story is one of rapid growth, bold ideas and extraordinary opportunities. We're here to challenge the status quo-and we're looking for brilliant people who want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.
Job title: Cloud Principal Engineer
Location: 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, and increase delivery reliability across AWS, Azure, and limited GCP workloads.
The Cloud Principal Engineer will work in define the cloud strategy and execution model, build the initial team, and deliver measurable business outcomes across cost optimization, platform standardization, observability modernization, and application modernization.
Why This Role Exists
Our current environment is operational but fragmented across deployment patterns and cloud operations workflows. This role exists to create a single execution backbone that aligns engineering work with business priorities:
  • Infrastructure cost reduction and waste elimination.
  • Standardized, scalable Kubernetes-based platform foundations.
  • Simplified and cost-aware observability strategy.
  • Automation-first operations for non-production controls.
  • Application modernization toward stateless, Linux-aligned deployment patterns.
Business Objectives This Role Owns
  • Drive cloud cost optimization initiatives from audit to remediation execution.
  • Lead platform direction for managed Kubernetes in a multi-cloud operating model.
  • Lead migration programs such as Kafka to Kafka-as-a-Service and ARM adoption.
  • Establish decision framework and rollout plan for Datadog alternatives.
  • Implementation of governance and automation for non-production shutdown schedules.
  • Partner with application teams to enable stateless architecture transitions.

Key Responsibilities
  • Work in Defining the cloud engineering operating model and role boundaries across DevOps, Cloud Ops, and R&D teams.
  • Build and mentor the initial cloud engineering team and hire pipeline.
  • Prioritize roadmap initiatives into quarterly execution plans with clear owners and milestones.
  • Establish platform and automation standards for infrastructure provisioning, CI/CD integration, security controls, and reliability.
  • Lead cross-functional programs that require coordinated cloud, platform, and application changes.
  • Ensure decisions are evidence-driven with transparent measurement and reporting.
Required Qualifications
  • 5+ years in cloud/platform engineering, SRE, or infrastructure leadership roles.
  • 3+ years leading cross-functional technical programs with direct business impact.
  • Strong hands-on depth in at least two of the following: Kubernetes platforms, cloud infrastructure automation, cost optimization, observability, CI/CD systems.
  • Experience across AWS and Azure in production environments.
  • Proven ability to translate business goals into technical roadmap execution.
  • Strong written and verbal communication skills for technical and non-technical stakeholders.
Technical Skills
  • Managed Kubernetes platforms: EKS and/or AKS architecture and operations.
  • Infrastructure as Code: strong hands-on depth in Terraform or OpenTofu or Pulumi.
  • Cloud automation and scripting: Python and/or TypeScript for workflow and operations automation.
  • CI/CD implementation: Git-based pipelines, environment promotion, release controls, rollback patterns.
  • Cloud security foundations: IAM, secrets management, policy enforcement, and least-privilege design.
  • Cost optimization engineering: rightsizing, idle resource remediation, schedule automation, and governance controls.
  • Observability foundations: metrics, logs, traces, alert design, and SLO-oriented operating practices.

Preferred Technical Skills
  • Configuration management and systems automation (Ansible or equivalent).
  • Experience evaluating or migrating monitoring stacks (for example, Datadog alternatives).
  • Experience with Kafka platform migrations, including Kafka-as-a-Service adoption.
  • Experience enabling ARM64 migration and multi-arch build/deployment practices.
  • Experience driving stateless architecture transitions and config externalization patterns.
Preferred Qualifications
  • Experience leading cloud transformation in multi-tenant or regulated environments.
  • Experience with FinOps practices and cost governance operating models.
  • Experience with platform migration programs (for example, KaaS, ARM, stateless modernization).
  • Experience hiring and developing high-performing platform teams.
Leadership Competencies
  • Systems thinking with bias for execution.
  • Strong ownership and accountability.
  • Pragmatic decision-making under delivery constraints.
  • Ability to build alignment across engineering, operations, and business stakeholders.

The US base salary range for this full-time position is Negotiable. Our salary ranges are determined by role, level and location. The range for each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training. Please note that the compensation details listed reflect the base salary and certain positions may be offered with additional variable incentives.
Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.

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