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Internship Cloud Cost Optimization Jobs in Ridgefield, CT

Principal Cloud Engineer

Greenwich, CT

$62.50 - $83.75/hr

Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization. * Engineer the Google Cloud foundation supporting ...

New

Principal Cloud Engineer

Greenwich, CT · On-site

$62.50 - $83.75/hr

Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization. * Engineer the Google Cloud foundation supporting ...

New

Cloud Architect

Sleepy Hollow, NY · On-site

$68.75 - $87.50/hr

Cloud Architect / Multi‑Cloud Architect Location: Tarrytown, NY / Sleepy Hollow, NY (Onsite) Hire ... Understanding of FinOps and cost optimization practices * Prior experience in highly regulated ...

GCP Cloud Architect

Tarrytown, NY · On-site

$68.75 - $87.50/hr

GCP Cloud Architect Location: Tarrytown, NY / Sleepy Hollow, NY (Onsite) Type: Full-Time Role ... Understanding of FinOps and cost optimization practices * Prior experience in highly regulated ...

Senior Cloud Engineer

Wilton, CT · On-site

$57.75 - $77.25/hr

Propose and implement improvements to system performance, reliability, cloud cost efficiency, and ... Support engineering use cases by provisioning environments, automating workflows, and optimizing ...

Senior Cloud Engineer

Wilton, CT · On-site

$57.75 - $77.25/hr

Propose and implement improvements to system performance, reliability, cloud cost efficiency, and ... Support engineering use cases by provisioning environments, automating workflows, and optimizing ...

Cloud Solution Architect

White Plains, NY · On-site +1

$140K - $180K/yr

Evaluate cloud services and recommend optimal designs for performance, security, and cost Cloud Migration & Modernization * Architect and support application and data migrations to the cloud * Guide ...

Cloud infrastructure cost management, optimization, and efficiency experience. * A track record of delivering projects that meet strategic business goals. * A foundational understanding of financial ...

Senior Data Engineer

White Plains, NY · Remote

$109K - $149K/yr

Architect, design, and scale enterprise-grade data solutions using Databricks and Azure cloud services. * Own and evolve the Databricks environment, including performance optimization, cost ...

Drive cloud network cost optimization through right-sizing, traffic engineering, and governance of data egress patterns across Azure and AWS. Franchise & Restaurant Network Operations * Oversee ...

Drive cloud network cost optimization through right-sizing, traffic engineering, and governance of data egress patterns across Azure and AWS. Franchise & Restaurant Network Operations * Oversee ...

Drive cloud network cost optimization through right-sizing, traffic engineering, and governance of data egress patterns across Azure and AWS. Franchise & Restaurant Network Operations * Oversee ...

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Internship Cloud Cost Optimization information

See Ridgefield, CT salary details

$11

$19

$29

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

As of Jul 31, 2026, the average hourly pay for internship cloud cost optimization in Ridgefield, CT is $19.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.82 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 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 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 are popular job titles related to Internship Cloud Cost Optimization jobs in Ridgefield, CT? For Internship Cloud Cost Optimization jobs in Ridgefield, CT, the most frequently searched job titles are:
What cities near Ridgefield, CT are hiring for Internship Cloud Cost Optimization jobs? Cities near Ridgefield, CT with the most Internship Cloud Cost Optimization job openings:
Infographic showing various Internship Cloud Cost Optimization job openings in Ridgefield, CT as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,011 per year, or $19.2 per hour.

Principal Cloud Engineer

GXO Logistics

Greenwich, CT

$62.50 - $83.75/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


GXO Logistics rating

7.1

Company rating: 7.1 out of 10

Based on 237 frontline employees who took The Breakroom Quiz

199th of 359 rated logistics


Job description

Logistics at full potential. 

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

Principal Cloud Engineer

Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Cloud Engineer, Google Cloud, you will serve as one of GXO's senior technical leaders responsible for building, implementing, and scaling our Google Cloud Platform. This is a deeply hands-on engineering role focused on delivering secure, production-ready cloud infrastructure, platform automation, Kubernetes, networking, and enterprise AI platform capabilities. Working alongside architects, security teams, and engineering partners, you'll transform cloud strategy into scalable, resilient, and operational solutions that power GXO's next generation of enterprise platforms.

If you're looking for an opportunity to build the cloud foundation for enterprise AI while shaping the future of Google Cloud engineering at global scale, join us at GXO.

Pay, benefits and more

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day

  • Build and scale GXO's Google Cloud Platform foundation, including organization hierarchy, landing zones, Shared VPC, IAM, Workload Identity Federation, Secret Manager, Cloud KMS/CMEK, Identity-Aware Proxy (IAP), and Cloud Logging and Monitoring.
  • Develop reusable Terraform modules, project factory patterns, secure-by-default configurations, and standardized deployment patterns across multiple environments.
  • Engineer and operate production-grade Google Kubernetes Engine (GKE) platforms, including cluster architecture, networking, ingress/egress, autoscaling, observability, and operational runbooks.
  • Translate enterprise architecture into secure, scalable, production-ready cloud implementations.
  • Build Infrastructure as Code (IaC) standards through reusable Terraform modules, GitOps workflows, CI/CD pipelines, policy guardrails, and platform automation.
  • Develop and maintain CI/CD pipelines using Cloud Build, GitHub Actions, Artifact Registry, and related cloud-native tooling.
  • Automate cloud platform operations, integrate Google Cloud APIs, and reduce operational overhead through engineering best practices.
  • Engineer enterprise networking capabilities including Shared VPC, Private Service Connect, VPC Service Controls, Cloud NAT, firewall policies, segmentation, Cloud Interconnect, and High Availability VPN.
  • Partner with Information Security to implement zero-trust cloud security including least privilege access, Workload Identity Federation, Binary Authorization, encryption, secrets management, audit logging, and data protection controls.
  • Integrate Security Command Center, CSPM tooling, automated compliance, monitoring, alerting, tracing, and reliability engineering practices into the cloud platform.
  • Build self-service platform capabilities that enable product, data, and AI engineering teams to rapidly consume cloud services while maintaining enterprise governance.
  • Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization.
  • Engineer the Google Cloud foundation supporting GXO's Enterprise AI Platform, including GKE-based runtimes, AI gateways, model services, agent runtimes, MCP servers, Agent Registry, and governed Snowflake integrations.
  • Partner with Data Engineering, Security, and Enterprise Architecture to deliver secure AI infrastructure supporting inference, agent execution, identity passthrough, and end-to-end traceability.
  • Serve as a senior hands-on engineer by writing Terraform, reviewing pull requests, troubleshooting complex cloud issues, mentoring engineers, and raising engineering standards across the organization.

What you need to succeed at GXO

At a minimum, you'll need

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience.
  • Google Cloud Professional Cloud Architect certification.
  • 10-15+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or distributed systems.
  • 5-7+ years of hands-on experience designing, building, and operating enterprise-scale Google Cloud environments.
  • Demonstrated experience building and scaling enterprise cloud platforms rather than solely operating existing environments.
  • Deep expertise in Google Cloud resource hierarchy, organization policies, IAM, Workload Identity Federation, networking, Shared VPC, Cloud KMS/CMEK, Identity-Aware Proxy (IAP), logging, monitoring, and secure cloud operations.
  • Extensive hands-on experience with Google Kubernetes Engine (GKE), Kubernetes networking, autoscaling, Cloud Run, ingress/egress, and production operations.
  • Strong experience implementing Infrastructure as Code using Terraform, GitOps, CI/CD pipelines, Artifact Registry, and policy-as-code.
  • Proven expertise implementing zero-trust cloud security including least privilege access, Binary Authorization, encryption, secrets management, audit logging, and secure operational controls.
  • Experience implementing enterprise observability, reliability engineering, and FinOps practices for cloud platforms.
  • Experience building reusable platform engineering capabilities and self-service cloud infrastructure.
  • Experience supporting enterprise AI, analytics, machine learning, or large language model (LLM) platforms on Google Cloud.
  • Strong written and verbal communication skills with experience documenting engineering standards, technical designs, and operational runbooks.
  • Demonstrated ability to mentor engineers while collaborating effectively with architects, security teams, infrastructure teams, and technology partners.
  • Ability to operate effectively with minimal supervision in a fast-paced, global enterprise environment.

It'd be great if you also have

  • Google Cloud Professional Security Engineer certification.
  • Google Cloud Professional DevOps Engineer certification.
  • Google Cloud Professional Machine Learning Engineer certification.
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
  • HashiCorp Terraform Associate certification.
  • Experience supporting AI platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM, MCP, AI gateways, agent runtimes, or comparable technologies.
  • Experience integrating Google Cloud workloads with Snowflake using OAuth, RBAC, masking policies, row-level security, and governed data access.
  • Experience implementing enterprise FinOps practices for large-scale cloud environments.
  • Experience building secure multi-tenant cloud platforms and reusable engineering frameworks.
  • Demonstrated success collaborating across enterprise architecture, cloud engineering, security, and infrastructure organizations while contributing to shared engineering standards and best practices.

We engineer faster, smarter, leaner supply chains.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity employer including Disabled/Veterans.


GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here. 


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About GXO Logistics

Sourced by ZipRecruiter

GXO Logistics, located in Greenwich, CT, US, is a global leader in the logistics industry. Specializing in innovative supply chain management, it operates across various sectors including e-commerce, food and beverage, technology, and retail. The company has cemented a notable reputation for providing top-notch outsourcing solutions that equip businesses to respond to market changes quickly and efficiently. Originally part of XPO Logistics, GXO, officially separated and spun off as a unique corporation in 2021, taking with it decades of expertise and a robust client roster. Their mission is to propel businesses forward with cutting-edge logistics and transportation solutions while adhering to their core values of safety always, customer-centric, and inclusive.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US

Year founded

2021