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Work Based Learning Program Aws Jobs in Pipe Creek, TX

Interest or experience in STEAM, technology, robotics, coding, engineering, art, or project-based learning preferred. * Strong communication, organization, and teamwork skills. * Ability to work well ...

Interest or experience in STEAM, technology, robotics, coding, engineering, art, or project-based learning preferred. * Strong communication, organization, and teamwork skills. * Ability to work well ...

Interest or experience in STEAM, technology, robotics, coding, engineering, art, or project-based learning preferred. * Strong communication, organization, and teamwork skills. * Ability to work well ...

AWS Architect

San Antonio, TX · On-site

$58.50 - $76.75/hr

... Work on value adding activities such Knowledge base update and management, Training fresher ... learning and professional development. • AWS certifications like AWS Certified Solutions ...

... Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

Work closely with developers, architects, and QA to ensure smooth releases. What You Will Need ... Learning Opportunities * Employee Referral Program * Corporate Sponsored Events & Community ...

Cyber - AWS Cloud Security - Manager

San Antonio, TX · On-site

$100K - $135K/yr

... AI), machine learning (ML), generative AI, and agentic AI workloads on AWS, including Amazon ... Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors ...

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Work Based Learning Program Aws information

See Pipe Creek, TX salary details

$40.4K

$69.9K

$157.7K

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

As of Sep 5, 2026, the average yearly pay for work based learning program aws in Pipe Creek, TX is $69,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $76,500.00 per year, depending on experience, location, and employer.

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 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 cities near Pipe Creek, TX are hiring for Work Based Learning Program Aws jobs?

Cities near Pipe Creek, TX with the most Work Based Learning Program Aws job openings:

STEAM Learning Facilitator

Promesa Academy

San Antonio, TX • On-site

$35K - $40K/yr

Full-time

Re-posted 20 days ago


Job description

Job Opening: Elementary STEAM Learning Facilitator
Location: Promesa Academy Charter School
Position Type: Full-Time
Grade Level: Elementary
Start Date: 2026-2027 School Year
Promesa Academy Charter School is seeking a creative and motivated Elementary STEAM Learning Facilitator to support hands-on learning experiences in science, technology, engineering, art, and mathematics.
The Elementary STEAM Learning Facilitator will help students explore STEAM concepts through engaging activities, projects, technology integration, and collaborative learning. This position is ideal for someone who enjoys working with children, supporting classroom instruction, and helping students build creativity, problem-solving skills, and confidence.
Key Responsibilities:
  • Facilitate engaging STEAM activities for elementary students.
  • Support hands-on, project-based learning in science, technology, engineering, art, and math.
  • Assist students with activities involving creativity, design, technology, building, coding, robotics, or problem-solving.
  • Help maintain a safe, organized, and positive learning environment.
  • Support teachers and campus leadership with STEAM-related lessons, events, and showcases.
  • Encourage student collaboration, curiosity, creativity, and critical thinking.
  • Prepare materials, organize supplies, and assist with classroom setup and cleanup.
  • Provide support to students individually or in small groups.
  • Help monitor student engagement and communicate student needs to teachers or administrators.

Qualifications:
  • High school diploma or equivalent required.
  • Associate's degree, college coursework, or bachelor's degree preferred.
  • Experience working with elementary-aged students preferred.
  • Interest or experience in STEAM, technology, robotics, coding, engineering, art, or project-based learning preferred.
  • Strong communication, organization, and teamwork skills.
  • Ability to work well with children and support a positive learning environment.

Ideal Candidate:
The ideal candidate is dependable, creative, patient, and excited to help students learn through hands-on exploration. They should be comfortable supporting classroom activities, encouraging student participation, and helping bring STEAM learning to life.
$35,000 - $40,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.