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Internship Cloud Cost Optimization Jobs in San Ramon, CA

Provide advanced technical consultation to stakeholders on cost optimization, chargeback, cloud commitments, usage patterns, governance controls, and financial risk. * Lead complex enterprise ...

Principal Cloud Engineer

San Jose, CA · On-site

$180 - $280/hr

Architect highly available, resilient, secure, and cost-optimized solutions across cloud platforms, with deep focus on AWS. * Lead adoption and operationalization of Infrastructure-as-Code using ...

Provide advanced technical consultation to stakeholders on cost optimization, chargeback, cloud commitments, usage patterns, governance controls, and financial risk. * Lead complex enterprise ...

Provide advanced technical consultation to stakeholders on cost optimization, chargeback, cloud commitments, usage patterns, governance controls, and financial risk. * Lead complex enterprise ...

Deep understanding of cloud cost optimization and FinOps practices * Experience with containerization and Kubernetes across cloud providers * Experience with cloud security frameworks and compliance ...

AWS Cloud Engineer

San Francisco, CA · On-site

$124 - $129/hr

Spearhead cloud cost optimization initiatives and implement FinOps best practices for our data platform * Collaborate with internal teams including data engineers, analysts, and scientists to ...

Senior, Data Engineer

Fremont, CA · On-site

$117K - $234K/yr

Large-scale distributed data pipelines across GCP Platform modernization (legacy → next-gen architectures) Cloud cost optimization at scale Data governance and compliance AI-driven engineering ...

Senior, Data Engineer

Hayward, CA · On-site

$117K - $234K/yr

Large-scale distributed data pipelines across GCP Platform modernization (legacy → next-gen architectures) Cloud cost optimization at scale Data governance and compliance AI-driven engineering ...

Senior, Data Engineer

San Jose, CA · On-site

$117K - $234K/yr

Large-scale distributed data pipelines across GCP Platform modernization (legacy → next-gen architectures) Cloud cost optimization at scale Data governance and compliance AI-driven engineering ...

Senior, Data Engineer

San Mateo, CA · On-site

$117K - $234K/yr

Large-scale distributed data pipelines across GCP Platform modernization (legacy → next-gen architectures) Cloud cost optimization at scale Data governance and compliance AI-driven engineering ...

Senior, Data Engineer

Milpitas, CA · On-site

$117K - $234K/yr

Large-scale distributed data pipelines across GCP Platform modernization (legacy → next-gen architectures) Cloud cost optimization at scale Data governance and compliance AI-driven engineering ...

... and cloud cost optimization strategies. Qualifications : Required : • 5-10+ years of hands‑on experience in data engineering or data architecture • Strong expertise in Azure + Databricks ...

Cost Revenue Analyst

San Francisco, CA · On-site

$165K - $185K/yr

Analyze cloud / infrastructure / inference / telephony costs : Deconstruct the primary cost drivers ... Partner with Engineering on infrastructure cost optimization : Collaborate on actionable ...

Cost Revenue Analyst

San Francisco, CA · On-site

$165 - $185/hr

Analyze cloud / infrastructure / inference / telephony costs : Deconstruct the primary cost drivers ... Partner with Engineering on infrastructure cost optimization : Collaborate on actionable ...

Platform Engineer

San Francisco, CA · On-site

$166K - $193K/yr

In this role, you will focus on driving proactive system improvements, managing relational database platforms, and championing cloud cost optimization and FinOps best practices across our data ...

Senior Cloud & Security Engineer

San Ramon, CA · Hybrid

$128K - $175K/yr

FinOps experience, including cloud cost optimization, reporting, and budget governance * Industry certifications such as Azure Solutions Architect Expert, Azure Administrator Associate, Azure ...

Senior Cloud & Security Engineer

San Jose, CA · Hybrid

$134K - $184K/yr

FinOps experience, including cloud cost optimization, reporting, and budget governance * Industry certifications such as Azure Solutions Architect Expert, Azure Administrator Associate, Azure ...

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Internship Cloud Cost Optimization information

See San Ramon, CA salary details

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$33

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

As of Sep 6, 2026, the average hourly pay for internship cloud cost optimization in San Ramon, CA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as an internship in 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 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 are popular job titles related to Internship Cloud Cost Optimization jobs in San Ramon, CA?

For Internship Cloud Cost Optimization jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Internship Cloud Cost Optimization jobs?

Cities near San Ramon, CA with the most Internship Cloud Cost Optimization job openings:

Infographic showing various Internship Cloud Cost Optimization job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $44,896 per year, or $21.6 per hour.

Enterprise Cloud FinOps Lead

LLNL

Livermore, CA • On-site

$151K - $185K/yr

Full-time

Retirement

Re-posted 28 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
We have an opening for an Enterprise Cloud FinOps Lead to join the Computing organization within the Chief Information Office, part of the Director's Office. As the Enterprise Cloud FinOps Lead, you will ensure the overall success of the Enterprise Cloud FinOps implementation, including the development and adoption of technical tooling, automation, and governance capabilities. This position is in the Information Technology Solutions (ITS) Division within the Computing Directorate, in support of LivIT.
This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home 1 day per week.
You will
  • Partner with finance, engineering, cloud operations, and leadership across a multidisciplinary environment to design, develop, implement, and support technical Cloud FinOps solutions and services for enterprise cloud financial management and governance.
  • Lead the development and continuous improvement of Cloud FinOps tools, automation, policies, standards, governance processes, and operating models that promote transparent, accountable, and efficient cloud usage.
  • Translate business, financial, and operational requirements into technical architectures, data models, workflows, and scalable system designs for Cloud FinOps capabilities.
  • Design, develop, and enhance cloud financial reporting, dashboards, forecasting, and allocation models; lead analysis of billing data, usage telemetry, and optimization opportunities to improve cost efficiency and operational visibility.
  • Provide advanced technical consultation to stakeholders on cost optimization, chargeback, cloud commitments, usage patterns, governance controls, and financial risk.
  • Lead complex enterprise initiatives to implement scalable Cloud FinOps services, integrated tooling, and automation frameworks across major mission and business areas.
  • Provide technical leadership including mentoring staff, coordinating with internal and external partners, and serving as subject matter expert for Cloud FinOps tools, services, and governance capabilities.
  • Perform other duties as assigned.

Qualifications
  • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
  • Bachelor's degree in business, finance, information systems, computer science, or a related field, or equivalent combination of education and related experience.
  • Extensive experience designing, developing, implementing, and supporting technical tools, services, and automated solutions for cloud financial operations, including scripting, programming, API integration, data pipelines, and automation frameworks for cloud cost management, usage reporting, forecasting, and governance.
  • Advanced knowledge of cloud platforms, cloud architecture, and cloud service operations, including cost drivers, pricing models, resource utilization, and performance considerations across compute, storage, and network services.
  • Experience developing technical solutions for cloud cost optimization, allocation, forecasting, chargeback, financial governance, and operational visibility using platforms such as Kion or similar tools.
  • Experience providing technical leadership in the requirements development, architecture, design, implementation, and continuous improvement of cloud FinOps tooling and services.
  • Experience analyzing complex operational and financial data to develop scalable, practical solutions that improve cloud accountability, service efficiency, and decision-making.
  • Experience collaborating with engineers, cyber security personnel, service owners, financial partners, and leadership to define technical requirements, implement cloud governance, and apply appropriate access controls and compliance requirements in regulated or secure computing environments.

Pay Range
$151,620 - $185,640 Annually
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
Additional Information
#LI-Onsite
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
  • Included in 2026Best Places to Work by Glassdoor!
  • Flexible Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
CaliforniaPrivacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .