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Cloud Automation Engineer Remote Jobs in Missouri

Jobgether

This fully remote position is ideal for an autonomous, people-focused engineer who enjoys solving ... Operate and improve cloud infrastructure across AWS and GCP, supporting the underlying technology ...

Jobgether

The environment is modern and cloud-based, with Java, Spring Boot, REST APIs, React, PHP, AWS, and ... Fully remote-friendly working environment, with flexibility around working hours. * Opportunity to ...

Kohl's

$53.75 - $70.25/hr

The engineer will lead technical delivery for firewalls, remote access, SASE, network segmentation, cloud network security, DNS security, and automation. What You'll Do * Design, implement, and ...

Jobgether

Our partner is looking for a MarTech Engineer - AI & Automation based in Netherlands. This is a ... Fully remote, remote-first working environment. * Flexible working arrangements across Europe.

Jobgether

$35.50 - $47/hr

Join a remote-first engineering environment where software quality and craftsmanship are treated as ... Contribute to programming, cloud infrastructure, testing environments, and other technical areas as ...

Kohl's

Familiarity with cloud platforms such as GCP, AWS or Azure * Understanding of software engineering practices, including CI/CD and automation * Knowledge of security best practices for system ...

Kohl's

Leverage your understanding of cloud technologies, automation tools and infrastructure-as-code ... Additional tasks may be assigned Addendum PLATFORM ENGINEER (EUC) * Experience with device ...

Kohl's

$112K - $148K/yr

Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud ... automation across Airflow workflows, Spark jobs, and transformation logic. * Apply data mesh and ...

Jobgether

$50 - $65.50/hr

You'll work across AWS architecture, cloud-native development, infrastructure automation ... With a fully remote setup and a strong culture of collaboration and continuous learning, this role ...

Jobgether

$50.25 - $63.75/hr

Enable DevOps and infrastructure automation by importing existing environments into Terraform ... Strong expertise in Terraform, including reusable and modular infrastructure code, remote state ...

Kohl's

$95K - $131K/yr

Manage and communicate cloud infrastructure costs and budgets to project stakeholders * Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps

UMB Financial

Cloud Engineer

Kansas City, MO · On-site +1

$130K - $140K/yr

As a Cloud Engineer , you will be heavily participating in defining the organization's cloud ... This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ...

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Cloud Automation Engineer Remote information

What is a cloud automation engineer?

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?

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 popular job titles related to Cloud Automation Engineer Remote jobs in Missouri?

For Cloud Automation Engineer Remote jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Cloud Automation Engineer Remote jobs in Missouri look for?

The top searched job categories for Cloud Automation Engineer Remote jobs in Missouri are:

What cities in Missouri are hiring for Cloud Automation Engineer Remote jobs?

Cities in Missouri with the most Cloud Automation Engineer Remote job openings:

Cloud Automation Engineer Remote jobs near you

IT Automation & Platform Engineer

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an IT Automation & Platform Engineer based in Netherlands.

This is a senior engineering opportunity focused on transforming internal IT into a scalable, automated, and developer-friendly technology platform.
You will architect and operate the business systems ecosystem connecting SaaS applications, cloud infrastructure, identity platforms, and collaboration tools.
The role combines business systems engineering, software development, automation, security, and IT operations rather than traditional IT support.
You will build APIs, integrations, internal tools, event-driven workflows, and self-service capabilities that improve how teams work globally.
You will also identify opportunities to introduce AI-powered workflows, from intelligent support assistants to automated ticket triage and knowledge retrieval.
Security and compliance are central to the role, including identity lifecycle management, Zero Trust practices, endpoint security, and audit readiness.
This fully remote position is ideal for an autonomous, people-focused engineer who enjoys solving complex operational problems through code and automation.

Accountabilities
  • Architect, administer, and continuously improve the internal business systems ecosystem, integrating platforms such as Salesforce, HubSpot, customer support, billing, HR, collaboration, and engineering tools.
  • Design reliable workflows and data synchronization processes across multiple SaaS platforms and business systems.
  • Build automation tooling and internal services using Python, Go, Bash, or comparable technologies rather than relying solely on SaaS configuration.
  • Develop internal CLI tools, automation services, dashboards, bots, and ChatOps integrations that improve IT and business operations.
  • Design and maintain API-driven integrations using REST and GraphQL APIs, OAuth, webhooks, SDKs, and integration frameworks.
  • Automate processes such as CRM workflows, customer and billing data synchronization, entitlement provisioning, onboarding, offboarding, and access management.
  • Create an internal "golden path" for employees and teams through self-service IT workflows, identity provisioning automation, and developer-friendly APIs for business systems.
  • Identify and implement AI-assisted and AI-driven solutions for internal support, knowledge retrieval, ticket triage, SaaS workflows, and operational data analysis.
  • Serve as a senior escalation point for IT support, applying comprehensive root-cause analysis and maintaining a people-first approach to employee technology needs.
  • Operate and improve cloud infrastructure across AWS and GCP, supporting the underlying technology ecosystem and internal services.
  • Implement and administer endpoint security and device management solutions, including Mobile Device Management and enterprise password-management platforms.
  • Manage identity and access processes, including SSO, SAML, SCIM provisioning, identity lifecycle automation, and Zero Trust access controls.
  • Support security and compliance requirements and maintain operational alignment with frameworks such as ISO 27001, SOC 2, and GDPR.
  • Conduct access reviews and continuously identify opportunities to strengthen security while maintaining an efficient employee experience.
  • Apply reliability engineering principles to internal IT services, establishing appropriate monitoring, service objectives, and operational practices.
  • Identify manual, inefficient, or error-prone processes and proactively design automated solutions to improve scalability and operational efficiency.
Requirements:
  • 8+ years of experience in IT Engineering, Systems Engineering, Business Systems Engineering, Platform Engineering, or a related discipline, including 3+ years in a senior role owning internal business systems and automation within a SaaS or technology environment.
  • Strong programming and scripting capabilities in Python, Go, and Bash, with the ability to build production-quality automation, integrations, and internal tooling.
  • Solid hands-on experience operating AWS and GCP environments, including technologies such as VPCs, IAM, EC2, and S3.
  • Strong API and integration engineering experience, including REST and GraphQL APIs, OAuth authentication flows, webhooks, SaaS SDKs, and integration frameworks.
  • Deep working knowledge of macOS and Linux environments.
  • Practical experience implementing and managing SSO, SAML, SCIM provisioning, identity lifecycle automation, and Zero Trust access models.
  • Experience supporting security and compliance programs or audits involving frameworks and regulations such as ISO 27001, SOC 2, and GDPR.
  • Strong understanding of SaaS architecture and the ability to design dependable integrations and data flows between business-critical platforms.
  • Experience working in remote-first or globally distributed environments is strongly preferred.
  • Familiarity with AI-driven automation, including LLM APIs, AI copilots, semantic search, knowledge retrieval, or AI-powered support and ticket triage, is an advantage.
  • Familiarity with Docker and Kubernetes for running internal services is desirable.
  • Experience applying SRE concepts, including SLIs and SLOs, to internal IT services is a plus.
  • Strong interpersonal and communication skills, with the ability to balance technical excellence with a people-first approach.
  • High degree of autonomy, ownership, and initiative, with the ability to prioritize complex backlogs and independently drive solutions.
  • Security-conscious mindset combined with a practical approach to balancing organizational security, productivity, and speed.
  • Growth-oriented attitude and enthusiasm for continuously improving internal processes through technology and automation.
Benefits:
  • 100% remote working, providing flexibility to work from the location where you are most productive.
  • Opportunity to work within a globally distributed, technology-focused environment.
  • Strong culture of automation and continuous improvement, with encouragement to eliminate manual processes through engineering.
  • Opportunity to work with modern technologies and a stack that reflects contemporary production engineering practices.
  • Exposure to SaaS platforms, cloud infrastructure, APIs, automation, AI, identity, security, and platform engineering.
  • Significant autonomy and ownership over internal technology systems and the employee experience.
  • Opportunity to design and introduce AI-powered solutions across internal business operations.
  • Collaborative environment with a strong emphasis on innovation, engineering quality, and operational efficiency.
  • Opportunity to make a measurable impact by building scalable systems that support teams across a global organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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