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Director Cloud Infrastructure Engineering Jobs in Spring, TX

ESG

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

Bachelor's degree in computer science, Engineering, or a related field; advanced degree preferred * 7-8+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering * 5+ years ...

ESG - USA

Senior Cloud Engineer

Houston, TX · Hybrid

$53.25 - $71.25/hr

Bachelor's degree in computer science, Engineering, or a related field; advanced degree preferred * 7-8+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering * 5+ years ...

ESG - USA

Senior Cloud Engineer

Houston, TX · On-site

$57 - $76.25/hr

Bachelor's degree in computer science, Engineering, or a related field; advanced degree preferred * 7-8+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering * 5+ years ...

YO AI Labs

DevOps Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering . * Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD ...

Deloitte

Manager

Houston, TX · On-site

$53.75 - $73.50/hr

... Cloud Infrastructure & Engineering, and Cloud Managed Services. Manage various aspects of the ... If you require a reasonable accommodation to participate in the recruiting process, please direct ...

New

NAVA Software Solutions

Azure Cloud Engineer

Houston, TX · On-site

$53.25 - $71/hr

Azure Cloud Engineer Location: Houston TX - Hybrid Duration: Full time /Direct Hire KEY ... Design, build and manage a robust and scalable cloud infrastructure on a leading cloud platform.

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Showing results 21-40

All JobsCloud Infrastructure Engineering JobsDirector Cloud Infrastructure Engineering JobsDirector Cloud Infrastructure Engineering Jobs in Spring, TX

Director Cloud Infrastructure Engineering information

See Spring, TX salary details

$62.3K

$136.8K

$202.5K

How much do director cloud infrastructure engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director cloud infrastructure engineering in Spring, TX is $136,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $166,900.00 per year, depending on experience, location, and employer.

What does a director cloud infrastructure engineering do?

A Director of Cloud Infrastructure Engineering is responsible for overseeing the design, implementation, and management of an organization's cloud computing infrastructure. This leadership role involves setting strategic goals, leading engineering teams, ensuring the reliability and security of cloud services, and collaborating with other departments to align cloud solutions with business objectives. They also stay updated on emerging cloud technologies and best practices to drive innovation and operational efficiency. The director plays a key part in budgeting, vendor management, and developing disaster recovery and scalability strategies.

What are some of the key challenges a director cloud infrastructure engineering faces when managing large-scale cloud environments?

Directors of Cloud Infrastructure Engineering often encounter challenges such as ensuring scalability, maintaining security and compliance, and optimizing costs across multiple cloud providers. Balancing the needs of various business units while driving standardization and automation can also be complex. Effective communication and collaboration with stakeholders, from engineers to executives, is essential to align cloud strategies with organizational goals and to manage rapid technological changes.

What are the key skills and qualifications needed to thrive as a director cloud infrastructure engineering, and why are they important?

To thrive as a Director of Cloud Infrastructure Engineering, you need deep expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure architecture, and leadership, generally supported by a degree in computer science or engineering and substantial experience in cloud environments. Familiarity with cloud management tools, automation frameworks (like Terraform or Ansible), and certifications such as AWS Certified Solutions Architect or Google Cloud Professional Cloud Architect are typically expected. Outstanding communication, strategic vision, and team leadership set top performers apart in this role. These skills are essential for building robust, scalable cloud systems and leading high-performing teams to deliver reliable, secure infrastructure solutions.

What are popular job titles related to Director Cloud Infrastructure Engineering jobs in Spring, TX?

For Director Cloud Infrastructure Engineering jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Director Cloud Infrastructure Engineering jobs in Spring, TX look for?

The top searched job categories for Director Cloud Infrastructure Engineering jobs in Spring, TX are:

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Director Cloud Infrastructure Engineering jobs near you
Infographic showing various Director Cloud Infrastructure Engineering job openings in Spring, TX as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,760 per year, or $65.8 per hour.

Cloud & AI Infrastructure Engineer

Hanwha Energy USA

Houston, TX • On-site

$53.25 - $71.25/hr

Full-time

Re-posted 18 days ago

Job description

COMPANY OVERVIEW
Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.
Our expertise covers the entire energy value chain-from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:
  • Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS)
  • Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets

POSITION OVERVIEW
We are seeking a Cloud & AI Infrastructure Engineer to design, build, operate, and optimize the Azure and AI platform that supports our internal applications, AI agents, copilots, automations, and enterprise data workloads.
This role is responsible for providing a secure, reliable, and cost-effective cloud foundation as our AI and application landscape scales. The ideal candidate will bring strong hands-on experience with Azure infrastructure, infrastructure-as-code, CI/CD, monitoring, observability, and cloud cost optimization. This person will work closely with Application Development and Data Management to ensure AI-enabled solutions are production-ready, well-governed, and operationally supportable.
This is not a general infrastructure support role. We are looking for an engineer who can help establish modern cloud engineering discipline around provisioning, deployment, logging, monitoring, security, and cost control for AI-enabled systems.
The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.
RESPONSIBILITIES
  • Design and provision Azure and AI resources using infrastructure-as-code, ensuring consistency, scalability, and maintainability.
  • Establish and enforce standards for networking, identity, monitoring, security, tagging, and cloud resource governance.
  • Build and maintain CI/CD pipelines for AI-enabled applications, internal platforms, agents, and automations.
  • Implement and support logging, telemetry, monitoring, and observability practices for AI and cloud-based workloads.
  • Partner with Application Development and Data Management to ensure solutions are deployed and operated in a secure, reliable, and supportable manner.
  • Manage Azure and AI platform environments across development, testing, and production.
  • Monitor and optimize Azure and Azure OpenAI usage and spend, right-size resources, and help improve cloud cost visibility and efficiency.
  • Partner with Finance and IT leadership on cloud cost reporting, chargeback visibility, and optimization opportunities.
  • Support identity, access, secrets, and security practices required for enterprise cloud and AI workloads.
  • Help define and maintain operational standards for backup, resiliency, recovery, alerting, and support readiness.
  • Troubleshoot deployment, performance, connectivity, and infrastructure issues affecting applications, agents, and cloud services.
  • Contribute to architecture discussions related to hosting, integration, scaling, environment design, and operational controls.
  • Document cloud patterns, standards, deployment approaches, and support procedures in a clear and practical way.
  • Evaluate and introduce appropriate tools and patterns that improve reliability, delivery speed, visibility, and cost management.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field. Equivalent experience may be considered.
  • 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure engineering.
  • Strong hands-on experience with Microsoft Azure services and cloud architecture.
  • Experience with infrastructure-as-code such as Terraform, Bicep, ARM templates, or similar tools.
  • Experience building and maintaining CI/CD pipelines for application and platform deployment.
  • Experience implementing monitoring, logging, alerting, and observability for production systems.
  • Understanding of identity, access control, security, and networking concepts in cloud environments.
  • Experience supporting production applications and cloud platforms with a focus on reliability and operational excellence.
  • Strong troubleshooting and problem-solving skills.
  • Ability to work effectively with software developers, data engineers, and technical leadership.

Preferred Qualifications
  • Experience supporting AI or machine learning workloads in Azure.
  • Familiarity with Azure OpenAI and the infrastructure patterns needed to support AI-enabled applications.
  • Experience with containerization, orchestration, or modern hosting models.
  • Experience with FinOps, cloud cost optimization, tagging governance, or cost reporting.
  • Experience with secrets management, policy enforcement, and secure deployment patterns.
  • Experience in environments with custom internal applications, integrations, and growing cloud platforms.
  • Familiarity with observability and telemetry practices for distributed systems and AI applications.

Key Skills
  • Azure architecture and provisioning
  • Infrastructure-as-code
  • CI/CD pipeline engineering
  • Logging and observability
  • Monitoring and alerting
  • Identity and access controls
  • Cloud networking and security
  • Azure OpenAI platform support
  • Cloud cost optimization
  • Production support and reliability engineering
  • Cross-functional technical collaboration

What Success Looks Like
In this role, success means:
  • Azure environments are provisioned consistently and governed effectively
  • AI-enabled applications and agents are deployed through repeatable and reliable pipelines
  • Logging, observability, and alerting are strong enough to support production operations
  • Azure and Azure OpenAI usage is monitored and optimized for both performance and cost
  • Cloud standards for identity, networking, security, and tagging are followed consistently
  • Application Development and Data Management teams can move faster because the platform foundation is stable and well run
  • IT leadership and Finance have clearer visibility into cloud consumption and optimization opportunities

COMPENSATION: $160,000 - $190,000 salary
Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
www.hanwhaenergyusa.com

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