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Remote Devops Engineer Intern Jobs in Houston, TX

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InterSystems HealthShare Developer

Houston, TX ยท Remote

$100K - $130K/yr

Familiarity with cloud platforms (e.g., AWS, Azure) and modern DevOps practices * Integration ... WS-Security, SOAP and PKI Remote & Hybrid candidates will be considered; Houston, TX candidates ...

Azure Databricks Lead Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

Support CI/CD and DevOps automation for Databricks workspace deployments and jobs using Azure DevOps and YAML-based pipelines. * Collaborate with stakeholders to ensure data solutions are reliable ...

Principal Engineer

Houston, TX ยท Remote

$50K - $60K/yr

Configure Nginx and Apache for load balancing and high availability across production systems. * DevOps & Reliability Engineering * Own and maintain CI/CD pipelines using Jenkins for automated builds ...

2026-2027 Petroleum Engineer - Full Time

Houston, TX ยท On-site +1

$118K - $138K/yr

As a Petroleum Engineer, you could begin your career in Chevron's domestic Upstream operations or ... Why Intern at Chevron? * You work on real projects, not side tasks * You use modern tools and cloud ...

Principal Backend Engineer

Houston, TX ยท Remote

$50K - $60K/yr

Configure Nginx and Apache for load balancing and high availability across production systems. * DevOps & Reliability Engineering * Own and maintain CI/CD pipelines using Jenkins for automated builds ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud experience. * Python/PySpark ...

Showing results 21-40

Remote Devops Engineer Intern information

See Houston, TX salary details

$10

$18

$28

How much do remote devops engineer intern jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote devops engineer intern in Houston, TX is $18.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Remote Devops Engineer Intern vs Remote Cloud Engineer Intern?

AspectRemote Devops Engineer InternRemote Cloud Engineer Intern
Required CredentialsBasic knowledge of DevOps tools, some certifications preferredKnowledge of cloud platforms, certifications like AWS or Azure beneficial
Work EnvironmentCollaborates with DevOps teams, focuses on automation and CI/CDWorks with cloud infrastructure, deployment, and management
Industry UsageUsed in companies emphasizing continuous integration and deploymentCommon in organizations migrating to or managing cloud services

The Remote Devops Engineer Intern and Remote Cloud Engineer Intern roles share overlapping skills in cloud platforms and automation tools. However, DevOps interns focus more on automation pipelines and integration, while Cloud interns concentrate on cloud infrastructure management. Both roles are entry-level, remote, and industry-relevant, but they target different aspects of technology deployment and management.

What does a remote DevOps engineer intern do?

A Remote DevOps Engineer Intern assists in developing, deploying, and maintaining software infrastructure from a remote location. Their responsibilities often include automating processes, supporting CI/CD pipelines, monitoring system performance, and collaborating with development and operations teams to ensure efficient software delivery. Interns typically work with cloud platforms, scripting languages, and various DevOps tools, while learning industry best practices. This position provides hands-on experience in modern software engineering workflows and fosters collaboration skills in a distributed work environment.

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

To thrive as a Remote DevOps Engineer Intern, you need a foundational understanding of software development, system administration, and networking, often supported by coursework or relevant technical experience. Familiarity with tools like Git, Docker, Jenkins, cloud platforms (AWS, Azure, or GCP), and basic scripting (Python, Bash) is typically expected. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for remote collaboration. These competencies are crucial for ensuring efficient software deployment, maintaining reliable systems, and contributing to team productivity from a remote setting.

What are some common challenges faced by remote DevOps engineer interns, and how can they overcome them?

Remote DevOps Engineer Interns often encounter challenges such as effective communication across distributed teams, managing time zone differences, and gaining hands-on experience with complex infrastructure. To overcome these, interns should proactively participate in team meetings, utilize collaboration tools like Slack and Jira, and seek regular feedback from mentors. Additionally, setting a structured daily routine and leveraging cloud-based sandbox environments for practice can help interns build skills and stay engaged while working remotely.
Infographic showing various Remote Devops Engineer Intern job openings in Houston, TX as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $38,365 per year, or $18.4 per hour.

Platform Engineer - AI & Automation Platform

Inizio Partners

Houston, TX โ€ข Remote

Full-time

Posted 15 days ago


Job description

Role: Platform Engineer – AI & Automation Platform

Location: Remote

Type: Contract (Long term)

Role Summary: We are seeking a highly technical Platform Engineer focused on AI, automation, and platform enablement to help scale a governed, AI-accelerated engineering ecosystem across Power Platform, Dynamics 365, Azure, AWS, and enterprise digital applications. This role is responsible for building, operating, and advancing the shared platform capabilities that product teams depend on to deliver secure, scalable, AI-enabled solutions. The engineer will help drive platform reliability, AI enablement, automation, CI/CD modernization, observability, and developer acceleration across the SDLC. The ideal candidate combines strong platform engineering fundamentals with hands-on experience in automation, AI-assisted development workflows, cloud platforms, APIs, integrations, and enterprise delivery tooling.

Key Responsibilities

  • Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
  • Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
  • Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
  • Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
  • Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
  • Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
  • Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
  • Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
  • Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
  • Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
  • Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
  • Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
  • Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
  • Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services

Required Qualifications

  • 8+ years of experience in Platform Engineering, Cloud Engineering, DevOps, Automation Engineering, or related enterprise engineering roles
  • Hands-on experience with Microsoft Power Platform, Dataverse, Dynamics 365 F&O, Azure services, and enterprise integrations
  • Experience building and supporting CI/CD pipelines using Azure DevOps, GitHub, or similar platforms
  • Experience with infrastructure automation, deployment scripting, environment management, and configuration management
  • Strong understanding of APIs, integrations, authentication, OAuth, REST services, and enterprise integration patterns
  • Experience supporting cloud-native and hybrid architectures across Azure and AWS
  • Experience with observability tooling, monitoring platforms, telemetry pipelines, and operational diagnostics
  • Experience with AI-enabled engineering workflows, Copilot technologies, LLM integrations, automation tooling, or agentic workflows
  • Strong understanding of platform security, governance, operational controls, and enterprise engineering standards
  • Experience supporting agile product delivery teams in large enterprise environments
  • Strong troubleshooting, automation, and systems thinking capabilities

Preferred Qualifications

  • Experience with Power Platform Copilot Studio, Azure AI Foundry, Azure OpenAI, or enterprise AI enablement platforms
  • Experience supporting AI orchestration, MCP-based integration patterns, automation agents, or AI-assisted SDLC workflows
  • Experience with automated testing frameworks, Playwright, pipeline-based quality enforcement, or test automation platforms
  • Experience with containerization, serverless architectures, and modern cloud platform services
  • Experience with Application Insights, Log Analytics, Power BI operational reporting, or enterprise telemetry platforms
  • Familiarity with SOX controls, audit readiness, operational governance, and regulated enterprise environments

Core Competencies

  • Microsoft Power Platform
  • Dataverse
  • Dynamics 365 Finance & Operations
  • Azure Services
  • AWS Services
  • Azure DevOps
  • GitHub
  • REST APIs & Integrations
  • Power Platform Copilot Studio
  • M365 Copilot
  • Azure AI Foundry
  • CI/CD & Automation Tooling
  • Observability & Monitoring Platforms
  • Automated Testing & Quality Engineering Tooling