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Internship Cloud Cost Optimization Jobs in Spring, TX

Supervisor, Cloud Engineer

Spring, TX ยท On-site

$47.25 - $63/hr

A key responsibility is Cloud FinOps ownership -- establishing financial governance, improving cost transparency, and driving optimization across Azure environments to ensure maximum value from cloud ...

Supervisor, Cloud Engineer

Spring, TX ยท On-site

$51.25 - $68.50/hr

A key responsibility is Cloud FinOps ownership -- establishing financial governance, improving cost transparency, and driving optimization across Azure environments to ensure maximum value from cloud ...

Supervisor, Cloud Engineer

Spring, TX ยท On-site

$47.25 - $63/hr

A key responsibility is Cloud FinOps ownership - establishing financial governance, improving cost transparency, and driving optimization across Azure environments to ensure maximum value from cloud ...

Supervisor, Cloud Engineer

Spring, TX ยท On-site

$47.25 - $63/hr

A key responsibility is Cloud FinOps ownership -- establishing financial governance, improving cost transparency, and driving optimization across Azure environments to ensure maximum value from cloud ...

AWS Cloud Engineer

Spring, TX ยท On-site

$49.50 - $66.25/hr

Overview: 58501 | Cloud Developer - Advanced Level Job Title:- AWS Cloud Engineer Location:- Spring ... Provide technical consulting on effective cost optimization for application teams, including ...

AWS Cloud Engineer

Spring, TX ยท On-site

$47.25 - $63/hr

Overview: 58501 | Cloud Developer - Advanced Level Job Title:- AWS Cloud Engineer Location:- Spring ... Provide technical consulting on effective cost optimization for application teams, including ...

Azure OpenAI / AI Cloud Engineer

Houston, TX ยท On-site

$53.25 - $71.25/hr

Ensure environment security, API governance, and cost optimization * Collaborate with data science and cloud engineering teams to operationalize AI models Required Skills * Strong experience with ...

... Cloud cost governance and optimization experience, including billing visibility and efficiency improvements Key Responsibilities Project: - Serve as the primary architect and technical owner for ...

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Internship Cloud Cost Optimization information

See Spring, TX salary details

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How much do internship cloud cost optimization jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship cloud cost optimization in Spring, TX is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Cloud Cost Optimization, and why are they important?

To thrive in an Internship Cloud Cost Optimization role, you need a solid understanding of cloud computing fundamentals, financial analysis, and basic cost management, often supported by coursework in IT, finance, or computer science. Familiarity with major cloud platforms (like AWS, Azure, or Google Cloud), cost monitoring tools, and data analysis software is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns identify cost-saving opportunities and explain findings to stakeholders. These skills ensure that organizations can manage cloud expenses efficiently, maximize value, and support strategic business decisions.

What are some typical projects an intern in Cloud Cost Optimization might work on, and how do these contribute to the team?

As an intern in Cloud Cost Optimization, you can expect to work on projects such as analyzing cloud usage data, identifying inefficiencies, and helping to implement cost-saving recommendations. These projects often involve reviewing billing reports, collaborating with engineers to understand resource requirements, and assisting with automation scripts for monitoring cloud spend. Your contributions help the team maintain budget targets and promote a culture of cost-awareness, which is highly valued in cloud-driven organizations. You'll also gain exposure to cloud management tools and practices, building a solid foundation for a future career in cloud operations or FinOps.

What is an Internship in Cloud Cost Optimization?

An Internship in Cloud Cost Optimization offers students or early-career professionals the opportunity to assist organizations in managing and reducing their cloud computing expenses. Interns typically work with cloud platforms such as AWS, Azure, or Google Cloud, helping to analyze usage patterns, identify inefficiencies, and implement cost-saving strategies. Responsibilities may include creating reports, recommending best practices, and collaborating with IT or finance teams. This role helps develop both technical and analytical skills valuable in cloud and financial management careers.

What is the difference between Internship Cloud Cost Optimization vs Cloud Cost Analyst?

AspectInternship Cloud Cost OptimizationCloud Cost Analyst
CredentialsRelevant coursework, basic understanding of cloud platformsCertifications like AWS Certified Cloud Practitioner, experience in cloud cost management
Work EnvironmentInternship setting, entry-level projects, learning-focusedFull-time role, analyzing cloud expenses, optimizing costs
Industry UsageUsed in tech companies, cloud service providers, startupsCommon in large enterprises, cloud consulting firms

Internship Cloud Cost Optimization roles are typically entry-level, focusing on learning cloud cost management basics under supervision. Cloud Cost Analysts are experienced professionals responsible for detailed cost analysis and optimization strategies. While internships provide foundational exposure, analysts handle ongoing cost control in mature environments.

What cities near Spring, TX are hiring for Internship Cloud Cost Optimization jobs? Cities near Spring, TX with the most Internship Cloud Cost Optimization job openings:
Infographic showing various Internship Cloud Cost Optimization job openings in Spring, TX as of May 2026, with employment types broken down into 8% Internship, 57% Full Time, 27% Part Time, and 8% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $35,751 per year, or $17.2 per hour.

Cloud & AI Infrastructure Engineer

Hanwha Energy USA

Houston, TX โ€ข On-site

$53.25 - $71.25/hr

Full-time

Posted 6 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