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Remote Platform Engineer Jobs in Houston, TX (NOW HIRING)

empyrean

Senior Platform Engineer

Houston, TX · Remote

$99K - $137K/yr

Advanced Terraform experience designing reusable IaC modules, managing remote state, implementing ... Proven hands-on experience with AWS platform engineering and infrastructure automation at scale.

Sterling Engineering Inc.

Structural Engineer

Houston, TX · On-site +1

$60 - $90/hr

The position offers flexibility with onsite, hybrid, or remote work arrangements (remote candidates ... Design structural steel systems, including pipe racks, equipment platforms, and miscellaneous steel ...

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All JobsPlatform Engineer JobsRemote Platform Engineer JobsRemote Platform Engineer Jobs in Houston, TX

Remote Platform Engineer information

See Houston, TX salary details

$31

$61

$90

How much do remote platform engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote platform engineer in Houston, TX is $61.08, according to ZipRecruiter salary data. Most workers in this role earn between $48.22 and $70.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Platform Engineer, and why are they important?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

What is a Remote Platform Engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

How does a Remote Platform Engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are popular job titles related to Remote Platform Engineer jobs in Houston, TX? For Remote Platform Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Platform Engineer jobs in Houston, TX look for? The top searched job categories for Remote Platform Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Platform Engineer jobs? Cities near Houston, TX with the most Remote Platform Engineer job openings:
Remote Platform Engineer jobs near you
Infographic showing various Remote Platform Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $127,036 per year, or $61.1 per hour.

Platform Engineer - AI & Automation Platform

Inizio Partners

Houston, TX • Remote

Full-time

Posted 4 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