ZipRecruiter

Log In

1

Work Based Learning Program Aws Jobs in Orem, UT

asburyauto

IT Enterprise Cloud Architect

Draper, UT · On-site +1

Candidates must be able to work full-time, on-site at our Draper, UT corporate office; this ... Design and evolve enterprise AWS cloud architecture * Establish governance and best practices

asburyauto

IT Enterprise Cloud Architect

Draper, UT · On-site +1

Candidates must be able to work full-time, on-site at our Draper, UT corporate office; this ... Design and evolve enterprise AWS cloud architecture * Establish governance and best practices

previous pagenext page

Showing results 21-40

All JobsWork Based Learning Program Aws JobsWork Based Learning Program Aws Jobs in Orem, UT

Work Based Learning Program Aws information

See Orem, UT salary details

$40.9K

$70.7K

$159.5K

How much do work based learning program aws jobs pay per year?

As of Aug 9, 2026, the average yearly pay for work based learning program aws in Orem, UT is $70,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $77,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a work based learning program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What is a work based learning program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS work based learning program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.
What job categories do people searching Work Based Learning Program Aws jobs in Orem, UT look for? The top searched job categories for Work Based Learning Program Aws jobs in Orem, UT are:
Work Based Learning Program Aws jobs near you
Infographic showing various Work Based Learning Program Aws job openings in Orem, UT as of August 2026, with employment types broken down into 100% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $70,739 per year, or $34 per hour.

Technology Lead | Data On Cloud - Platform | AWS

Spruce Infotech

Draper, UT • On-site

$52 - $69.75/hr

Full-time

Posted 23 days ago

Job description

Job title - AWS infrastructure engineer
Work location - Draper,UT,84020,US
Is it Hybrid, onsite or remote position - ( Hybrid)
Tentative Start date - ASAP
Contract duration - 1 Year
Vendor XXX
Minimum years of experience needed in the required skills- 8 years plus
Minimum over all work experience required - 10 years plus
Domain - Financial
Any certification required - AWS Preffered
Complete job description -
Operate and support AWS infrastructure across a multi-account environment, covering EC2, VPC networking, IAM and AWS SSO roles, IRSA, Route 53, KMS, and S3, with a focus on reliability and operational clarity
• Contribute to and evolve our Terraform-based Infrastructure as Code, working confidently in shared, modular repositories and the production modules used across the organization
• Support and maintain our EKS/Kubernetes platform, including node provisioning and lifecycle (Karpenter), cluster upgrades, service-mesh traffic rules (Istio), and GitOps-based deployments through ArgoCD and Helm
• Support the build and deployment pipelines application teams depend on, spanning GitHub Actions, ArgoCD, CircleCI, and Octopus Deploy
• Work across VPC networking, DNS, routing, NACLs, load balancing, and WAF (Imperva primary) to support application traffic and secure access patterns
• Service application-team requests end to end, including new accounts via Account Factory for Terraform (AFT), access and IAM changes, networking and connectivity, and DNS
• Build and maintain automation in Python and Bash (and PowerShell where Windows workloads call for it) to streamline provisioning, configuration, and recurring operational tasks
• Use our observability stack (Dynatrace, Observe, and Amazon CloudWatch) to triage incidents, trace service health and dependencies, and instrument logging and telemetry across new and existing workloads
• Leverage AI-assisted tools to accelerate troubleshooting, draft and improve runbooks, and reduce repetitive operational overhead, with a practical focus on where AI adds real value in day-to-day infrastructure work
• Execute changes through our ServiceNow change-management process, including CAB review for significant changes, and participate in the support and on-call rotation
• Leave the platform better documented than you found it, closing runbook gaps as you work
What you'll bring
We need someone who can be productive quickly with limited ramp time. Strong, broad infrastructure foundations matter more here than deep specialization in any single tool.
Required experience:
• Strong, hands-on AWS experience in a multi-account environment, spanning compute, VPC networking, IAM and SSO, and DNS
• Practical Terraform and IaC experience, including contributing to shared, production repositories rather than greenfield-only work
• Experience supporting Kubernetes/EKS or comparable container platforms in production
• Familiarity with GitOps and CI/CD tooling such as ArgoCD, GitHub Actions, CircleCI, or similar
• Solid networking fundamentals across VPC, routing, NACLs, DNS, and load balancing, plus familiarity with WAF and traffic management concepts (Imperva a strong plus)
• Scripting fluency in Python and Bash for tooling, bootstrap automation, and operational workflows
• Comfort operating in production with shared ownership, formal change management, and on-call responsibility
• A self-directed working style, able to take an under-specified request, chase down the missing details, and deliver without hand-holding
• Strong cross-team communication, with a consultative approach to supporting application, security, and network teams
• Comfort using AI tools (Claude, GitHub Copilot, or similar) to ramp on unfamiliar systems, write scripts, and diagnose issues
Interview mode - In person/Virtual - Virtual
How many rounds of interview - 2
Project Code: Child Code for PROG Engagement

Apply